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Koszela J, Pham NT, Shave S, St-Cyr D, Ceccarelli DF, Orlicky S, Marinier A, Sicheri F, Tyers M, Auer M. A Novel Confocal Scanning Protein-Protein Interaction Assay (PPI-CONA) Reveals Exceptional Selectivity and Specificity of CC0651, a Small Molecule Binding Enhancer of the Weak Interaction between the E2 Ubiquitin-Conjugating Enzyme CDC34A and Ubiquitin. Bioconjug Chem 2024. [PMID: 39167708 DOI: 10.1021/acs.bioconjchem.4c00345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2024]
Abstract
Protein-protein interactions (PPIs) are some of the most challenging target classes in drug discovery. Highly sensitive detection techniques are required for the identification of chemical modulators of PPIs. Here, we introduce PPI confocal nanoscanning (PPI-CONA), a miniaturized, microbead based high-resolution fluorescence imaging assay. We demonstrate the capabilities of PPI-CONA by detecting low affinity ternary complex formation between the human CDC34A ubiquitin-conjugating (E2) enzyme, ubiquitin, and CC0651, a small molecule enhancer of the CDC34A-ubiquitin interaction. We further exemplify PPI-CONA with an E2 enzyme binding study on CC0651 and a CDC34A binding specificity study of a series of CC0651 analogues. Our results indicate that CC0651 is highly selective toward CDC34A. We further demonstrate how PPI-CONA can be applied to screening very low affinity interactions. PPI-CONA holds potential for high-throughput screening for modulators of PPI targets and characterization of their affinity, specificity, and selectivity.
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Affiliation(s)
- Joanna Koszela
- School of Molecular Biosciences, University of Glasgow, Glasgow G12 8QQ, U.K
| | - Nhan T Pham
- School of Biological Sciences, University of Edinburgh, Edinburgh, Scotland EH9 3BF, U.K
- College of Medicine and Veterinary Medicine, Institute for Regeneration and Repair, University of Edinburgh, 4-5 Little France Drive, Edinburgh EH16 4UU, U.K
| | - Steven Shave
- School of Biological Sciences, University of Edinburgh, Edinburgh, Scotland EH9 3BF, U.K
- Edinburgh Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, U.K
| | - Daniel St-Cyr
- X-Chem Inc., Montréal, Québec H4S 1Z9, Canada
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Québec H3T 1J4, Canada
| | - Derek F Ceccarelli
- Centre for Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario M5G 1X5, Canada
| | - Steven Orlicky
- Centre for Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario M5G 1X5, Canada
| | - Anne Marinier
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Québec H3T 1J4, Canada
| | - Frank Sicheri
- Centre for Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario M5G 1X5, Canada
| | - Mike Tyers
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, Québec H3T 1J4, Canada
- Program in Molecular Medicine, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada
| | - Manfred Auer
- School of Biological Sciences, University of Edinburgh, Edinburgh, Scotland EH9 3BF, U.K
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2
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Somsen BA, Cossar PJ, Arkin MR, Brunsveld L, Ottmann C. 14-3-3 Protein-Protein Interactions: From Mechanistic Understanding to Their Small-Molecule Stabilization. Chembiochem 2024; 25:e202400214. [PMID: 38738787 DOI: 10.1002/cbic.202400214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 05/11/2024] [Accepted: 05/13/2024] [Indexed: 05/14/2024]
Abstract
Protein-protein interactions (PPIs) are of utmost importance for maintenance of cellular homeostasis. Herein, a central role can be found for 14-3-3 proteins. These hub-proteins are known to bind hundreds of interaction partners, thereby regulating their activity, localization, and/or stabilization. Due to their ability to bind a large variety of client proteins, studies of 14-3-3 protein complexes flourished over the last decades, aiming to gain greater molecular understanding of these complexes and their role in health and disease. Because of their crucial role within the cell, 14-3-3 protein complexes are recognized as highly interesting therapeutic targets, encouraging the discovery of small molecule modulators of these PPIs. We discuss various examples of 14-3-3-mediated regulation of its binding partners on a mechanistic level, highlighting the versatile and multi-functional role of 14-3-3 within the cell. Furthermore, an overview is given on the development of stabilizers of 14-3-3 protein complexes, from initially used natural products to fragment-based approaches. These studies show the potential of 14-3-3 PPI stabilizers as novel agents in drug discovery and as tool compounds to gain greater molecular understanding of the role of 14-3-3-based protein regulation.
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Affiliation(s)
- Bente A Somsen
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Laboratory of Chemical Biology, Eindhoven University of Technology, P.O. Box 513, MB Eindhoven, 5600, Eindhoven, The Netherlands
| | - Peter J Cossar
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Laboratory of Chemical Biology, Eindhoven University of Technology, P.O. Box 513, MB Eindhoven, 5600, Eindhoven, The Netherlands
| | - Michelle R Arkin
- Department of Pharmaceutical Chemistry and Small Molecule Discovery Center (SMDC), University of California, San Francisco, California, 94143, United States
| | - Luc Brunsveld
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Laboratory of Chemical Biology, Eindhoven University of Technology, P.O. Box 513, MB Eindhoven, 5600, Eindhoven, The Netherlands
| | - Christian Ottmann
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Laboratory of Chemical Biology, Eindhoven University of Technology, P.O. Box 513, MB Eindhoven, 5600, Eindhoven, The Netherlands
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3
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Takahashi M, Chong HB, Zhang S, Yang TY, Lazarov MJ, Harry S, Maynard M, Hilbert B, White RD, Murrey HE, Tsou CC, Vordermark K, Assaad J, Gohar M, Dürr BR, Richter M, Patel H, Kryukov G, Brooijmans N, Alghali ASO, Rubio K, Villanueva A, Zhang J, Ge M, Makram F, Griesshaber H, Harrison D, Koglin AS, Ojeda S, Karakyriakou B, Healy A, Popoola G, Rachmin I, Khandelwal N, Neil JR, Tien PC, Chen N, Hosp T, van den Ouweland S, Hara T, Bussema L, Dong R, Shi L, Rasmussen MQ, Domingues AC, Lawless A, Fang J, Yoda S, Nguyen LP, Reeves SM, Wakefield FN, Acker A, Clark SE, Dubash T, Kastanos J, Oh E, Fisher DE, Maheswaran S, Haber DA, Boland GM, Sade-Feldman M, Jenkins RW, Hata AN, Bardeesy NM, Suvà ML, Martin BR, Liau BB, Ott CJ, Rivera MN, Lawrence MS, Bar-Peled L. DrugMap: A quantitative pan-cancer analysis of cysteine ligandability. Cell 2024; 187:2536-2556.e30. [PMID: 38653237 PMCID: PMC11143475 DOI: 10.1016/j.cell.2024.03.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 01/15/2024] [Accepted: 03/19/2024] [Indexed: 04/25/2024]
Abstract
Cysteine-focused chemical proteomic platforms have accelerated the clinical development of covalent inhibitors for a wide range of targets in cancer. However, how different oncogenic contexts influence cysteine targeting remains unknown. To address this question, we have developed "DrugMap," an atlas of cysteine ligandability compiled across 416 cancer cell lines. We unexpectedly find that cysteine ligandability varies across cancer cell lines, and we attribute this to differences in cellular redox states, protein conformational changes, and genetic mutations. Leveraging these findings, we identify actionable cysteines in NF-κB1 and SOX10 and develop corresponding covalent ligands that block the activity of these transcription factors. We demonstrate that the NF-κB1 probe blocks DNA binding, whereas the SOX10 ligand increases SOX10-SOX10 interactions and disrupts melanoma transcriptional signaling. Our findings reveal heterogeneity in cysteine ligandability across cancers, pinpoint cell-intrinsic features driving cysteine targeting, and illustrate the use of covalent probes to disrupt oncogenic transcription-factor activity.
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Affiliation(s)
- Mariko Takahashi
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA.
| | - Harrison B Chong
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Siwen Zhang
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Tzu-Yi Yang
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Matthew J Lazarov
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Stefan Harry
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | | | | | | | | | | | - Kira Vordermark
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Jonathan Assaad
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Magdy Gohar
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Benedikt R Dürr
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Marianne Richter
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Himani Patel
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | | | | | | | - Karla Rubio
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Antonio Villanueva
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Junbing Zhang
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Maolin Ge
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Farah Makram
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Hanna Griesshaber
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Drew Harrison
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Ann-Sophie Koglin
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Samuel Ojeda
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Barbara Karakyriakou
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Alexander Healy
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - George Popoola
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Inbal Rachmin
- Cutaneous Biology Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Neha Khandelwal
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | | | - Pei-Chieh Tien
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Nicholas Chen
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Pathology, Harvard Medical School, Boston, MA 02114, USA
| | - Tobias Hosp
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Sanne van den Ouweland
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Toshiro Hara
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lillian Bussema
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Rui Dong
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lei Shi
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Martin Q Rasmussen
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Ana Carolina Domingues
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Aleigha Lawless
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jacy Fang
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Satoshi Yoda
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Linh Phuong Nguyen
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Sarah Marie Reeves
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Farrah Nicole Wakefield
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Adam Acker
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Sarah Elizabeth Clark
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Taronish Dubash
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - John Kastanos
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA
| | - Eugene Oh
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - David E Fisher
- Cutaneous Biology Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Shyamala Maheswaran
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Daniel A Haber
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Medicine, Harvard Medical School, Boston, MA 02114, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Genevieve M Boland
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Surgery, Harvard Medical School, Boston, MA 02114, USA
| | - Moshe Sade-Feldman
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Russell W Jenkins
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Aaron N Hata
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Nabeel M Bardeesy
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Mario L Suvà
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pathology, Harvard Medical School, Boston, MA 02114, USA
| | | | - Brian B Liau
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Christopher J Ott
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Medicine, Harvard Medical School, Boston, MA 02114, USA
| | - Miguel N Rivera
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pathology, Harvard Medical School, Boston, MA 02114, USA
| | - Michael S Lawrence
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pathology, Harvard Medical School, Boston, MA 02114, USA.
| | - Liron Bar-Peled
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA; Department of Medicine, Harvard Medical School, Boston, MA 02114, USA.
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4
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Holdgate GA, Bardelle C, Berry SK, Lanne A, Cuomo ME. Screening for molecular glues - Challenges and opportunities. SLAS DISCOVERY : ADVANCING LIFE SCIENCES R & D 2024; 29:100136. [PMID: 38104659 DOI: 10.1016/j.slasd.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/03/2023] [Accepted: 12/14/2023] [Indexed: 12/19/2023]
Abstract
Molecular glues are small molecules, typically smaller than PROTACs, and usually with improved physicochemical properties that aim to stabilise the interaction between two proteins. Most often this approach is used to improve or induce an interaction between the target and an E3 ligase, but other interactions which stabilise interactions to increase activity or to inhibit binding to a natural effector have also been demonstrated. This review will describe the effects of induced proximity, discuss current methods used to identify molecular glues and introduce approaches that could be adapted for molecular glue screening.
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Affiliation(s)
| | - Catherine Bardelle
- High-throughput Screening, Discovery Sciences, R&D, AstraZeneca, Alderley Park, UK
| | - Sophia K Berry
- High-throughput Screening, Discovery Sciences, R&D, AstraZeneca, Alderley Park, UK
| | - Alice Lanne
- High-throughput Screening, Discovery Sciences, R&D, AstraZeneca, Alderley Park, UK
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5
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Takahashi M, Chong HB, Zhang S, Lazarov MJ, Harry S, Maynard M, White R, Murrey HE, Hilbert B, Neil JR, Gohar M, Ge M, Zhang J, Durr BR, Kryukov G, Tsou CC, Brooijmans N, Alghali ASO, Rubio K, Vilanueva A, Harrison D, Koglin AS, Ojeda S, Karakyriakou B, Healy A, Assaad J, Makram F, Rachman I, Khandelwal N, Tien PC, Popoola G, Chen N, Vordermark K, Richter M, Patel H, Yang TY, Griesshaber H, Hosp T, van den Ouweland S, Hara T, Bussema L, Dong R, Shi L, Rasmussen MQ, Domingues AC, Lawless A, Fang J, Yoda S, Nguyen LP, Reeves SM, Wakefield FN, Acker A, Clark SE, Dubash T, Fisher DE, Maheswaran S, Haber DA, Boland G, Sade-Feldman M, Jenkins R, Hata A, Bardeesy N, Suva ML, Martin B, Liau B, Ott C, Rivera MN, Lawrence MS, Bar-Peled L. DrugMap: A quantitative pan-cancer analysis of cysteine ligandability. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.20.563287. [PMID: 37961514 PMCID: PMC10634688 DOI: 10.1101/2023.10.20.563287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Cysteine-focused chemical proteomic platforms have accelerated the clinical development of covalent inhibitors of a wide-range of targets in cancer. However, how different oncogenic contexts influence cysteine targeting remains unknown. To address this question, we have developed DrugMap , an atlas of cysteine ligandability compiled across 416 cancer cell lines. We unexpectedly find that cysteine ligandability varies across cancer cell lines, and we attribute this to differences in cellular redox states, protein conformational changes, and genetic mutations. Leveraging these findings, we identify actionable cysteines in NFκB1 and SOX10 and develop corresponding covalent ligands that block the activity of these transcription factors. We demonstrate that the NFκB1 probe blocks DNA binding, whereas the SOX10 ligand increases SOX10-SOX10 interactions and disrupts melanoma transcriptional signaling. Our findings reveal heterogeneity in cysteine ligandability across cancers, pinpoint cell-intrinsic features driving cysteine targeting, and illustrate the use of covalent probes to disrupt oncogenic transcription factor activity.
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6
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Stein RR, Fouché M, Kearns JD, Roth HJ. A model-informed method to retrieve intrinsic from apparent cooperativity and project cellular target occupancy for ternary complex-forming compounds. RSC Chem Biol 2023; 4:512-523. [PMID: 37415863 PMCID: PMC10320841 DOI: 10.1039/d2cb00216g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 05/19/2023] [Indexed: 07/08/2023] Open
Abstract
There is an increasing interest to develop therapeutics that modulate challenging or undruggable target proteins via a mechanism that involves ternary complexes. In general, such compounds can be characterized by their direct affinities to a chaperone and a target protein and by their degree of cooperativity in the formation of the ternary complex. As a trend, smaller compounds have a greater dependency on intrinsic cooperativity to their thermodynamic stability relative to direct target (or chaperone) binding. This highlights the need to consider intrinsic cooperativity of ternary complex-forming compounds early in lead optimization, especially as they provide more control over target selectivity (especially for isoforms) and more insight into the relationship between target occupancy and target response via estimation of ternary complex concentrations. This motivates the need to quantify the natural constant of intrinsic cooperativity (α) which is generally defined as the gain (or loss) in affinity of a compound to its target in pre-bound vs. unbound state. Intrinsic cooperativities can be retrieved via a mathematical binding model from EC50 shifts of binary binding curves of the ternary complex-forming compound with either a target or chaperone relative to the same experiment but in the presence of the counter protein. In this manuscript, we present a mathematical modeling methodology that estimates the intrinsic cooperativity value from experimentally observed apparent cooperativities. This method requires only the two binary binding affinities and the protein concentrations of target and chaperone and is therefore suitable for use in early discovery therapeutic programs. This approach is then extended from biochemical assays to cellular assays (i.e., from a closed system to an open system) by accounting for differences in total ligand vs. free ligand concentrations in the calculations of ternary complex concentrations. Finally, this model is used to translate biochemical potency of ternary complex-forming compounds into expected cellular target occupancy, which could ultimately serve as a way for validation or de-validation of hypothesized biological mechanisms of action.
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Affiliation(s)
- Richard R Stein
- Novartis Institutes for BioMedical Research Basel Switzerland
| | - Marianne Fouché
- Novartis Institutes for BioMedical Research Basel Switzerland
| | | | - Hans-Joerg Roth
- Novartis Institutes for BioMedical Research Basel Switzerland
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7
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Chen SY, Zacharias M. What Makes a Good Protein-Protein Interaction Stabilizer: Analysis and Application of the Dual-Binding Mechanism. ACS CENTRAL SCIENCE 2023; 9:969-979. [PMID: 37252344 PMCID: PMC10214505 DOI: 10.1021/acscentsci.3c00003] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Indexed: 05/31/2023]
Abstract
Protein-protein interactions (PPIs) are essential for biological processes including immune reactions and diseases. Inhibition of PPIs by drug-like compounds is a common basis for therapeutic approaches. In many cases the flat interface of PP complexes prevents discovery of specific compound binding to cavities on one partner and PPI inhibition. However, frequently new pockets are formed at the PP interface that allow accommodation of stabilizers which is often as desirable as inhibition but a much less explored alternative strategy. Herein, we employ molecular dynamics simulations and pocket detection to investigate 18 known stabilizers and associated PP complexes. For most cases, we find that a dual-binding mechanism, a similar stabilizer interaction strength with each protein partner, is an important prerequisite for effective stabilization. A few stabilizers follow an allosteric mechanism by stabilizing the protein bound structure and/or increase the PPI indirectly. On 226 protein-protein complexes, we find in >75% of the cases interface cavities suitable for binding of drug-like compounds. We propose a computational compound identification workflow that exploits new PP interface cavities and optimizes the dual-binding mechanism and apply it to 5 PP complexes. Our study demonstrates a great potential for in silico PPI stabilizers discovery with a wide range of therapeutic applications.
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8
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Rui H, Ashton KS, Min J, Wang C, Potts PR. Protein-protein interfaces in molecular glue-induced ternary complexes: classification, characterization, and prediction. RSC Chem Biol 2023; 4:192-215. [PMID: 36908699 PMCID: PMC9994104 DOI: 10.1039/d2cb00207h] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 01/02/2023] [Indexed: 01/04/2023] Open
Abstract
Molecular glues are a class of small molecules that stabilize the interactions between proteins. Naturally occurring molecular glues are present in many areas of biology where they serve as central regulators of signaling pathways. Importantly, several clinical compounds act as molecular glue degraders that stabilize interactions between E3 ubiquitin ligases and target proteins, leading to their degradation. Molecular glues hold promise as a new generation of therapeutic agents, including those molecular glue degraders that can redirect the protein degradation machinery in a precise way. However, rational discovery of molecular glues is difficult in part due to the lack of understanding of the protein-protein interactions they stabilize. In this review, we summarize the structures of known molecular glue-induced ternary complexes and the interface properties. Detailed analysis shows different mechanisms of ternary structure formation. Additionally, we also review computational approaches for predicting protein-protein interfaces and highlight the promises and challenges. This information will ultimately help inform future approaches for rational molecular glue discovery.
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Affiliation(s)
- Huan Rui
- Center for Research Acceleration by Digital Innovation, Amgen Research Thousand Oaks CA 91320 USA
| | - Kate S Ashton
- Medicinal Chemistry, Amgen Research Thousand Oaks CA 91320 USA
| | - Jaeki Min
- Induced Proximity Platform, Amgen Research Thousand Oaks CA 91320 USA
| | - Connie Wang
- Digital, Technology & Innovation, Amgen Thousand Oaks CA 91320 USA
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9
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Soini L, Leysen S, Davis J, Ottmann C. Molecular glues to stabilise protein-protein interactions. Curr Opin Chem Biol 2022; 69:102169. [PMID: 35749929 DOI: 10.1016/j.cbpa.2022.102169] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 04/21/2022] [Accepted: 05/11/2022] [Indexed: 11/27/2022]
Abstract
Targeting protein-protein interactions (PPIs) has become a common approach to tackle various diseases whose pathobiology is driven by their mis-regulation in important signalling pathways. Modulating PPIs has tremendous untapped therapeutic potential and different approaches can be used to modulate PPIs. Initially, therapeutic effects were mostly sought by inhibiting PPIs. However, by gaining insight in the mode of action of certain therapeutic compounds, it became clear that stabilising (i.e. enhancing) PPIs can also be useful. The latter strategy is recently gaining a lot of attention, as stabilising physiologic, or even inducing novel interactions of a target protein with E3 ubiquitin ligases forms the basis of the targeted protein degradation (TPD) approach. An emerging additional example for drug discovery based on PPI stabilisation are the 14-3-3 proteins, a family of regulatory proteins, which engages in many protein-protein interactions, some of which might become therapeutical targets.
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Affiliation(s)
- Lorenzo Soini
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands; Department of Structural Biology and Biophysics, UCB Biopharma UK, Slough, UK
| | - Seppe Leysen
- Department of Structural Biology and Biophysics, UCB Biopharma UK, Slough, UK
| | - Jeremy Davis
- Department of Chemistry, UCB Biopharma UK, Slough, UK.
| | - Christian Ottmann
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands.
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10
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Structure-based assessment and druggability classification of protein-protein interaction sites. Sci Rep 2022; 12:7975. [PMID: 35562538 PMCID: PMC9106675 DOI: 10.1038/s41598-022-12105-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/20/2022] [Indexed: 11/08/2022] Open
Abstract
The featureless interface formed by protein–protein interactions (PPIs) is notorious for being considered a difficult and poorly druggable target. However, recent advances have shown PPIs to be druggable, with the discovery of potent inhibitors and stabilizers, some of which are currently being clinically tested and approved for medical use. In this study, we assess the druggability of 12 commonly targeted PPIs using the computational tool, SiteMap. After evaluating 320 crystal structures, we find that the PPI binding sites have a wide range of druggability scores. This can be attributed to the unique structural and physiochemical features that influence their ligand binding and concomitantly, their druggability predictions. We then use these features to propose a specific classification system suitable for assessing PPI targets based on their druggability scores and measured binding-affinity. Interestingly, this system was able to distinguish between different PPIs and correctly categorize them into four classes (i.e. very druggable, druggable, moderately druggable, and difficult). We also studied the effects of protein flexibility on the computed druggability scores and found that protein conformational changes accompanying ligand binding in ligand-bound structures result in higher protein druggability scores due to more favorable structural features. Finally, the drug-likeness of many published PPI inhibitors was studied where it was found that the vast majority of the 221 ligands considered here, including orally tested/marketed drugs, violate the currently acceptable limits of compound size and hydrophobicity parameters. This outcome, combined with the lack of correlation observed between druggability and drug-likeness, reinforces the need to redefine drug-likeness for PPI drugs. This work proposes a PPI-specific classification scheme that will assist researchers in assessing the druggability and identifying inhibitors of the PPI interface.
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11
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Dewey JA, Azizi SA, Lu V, Dickinson BC. A System for the Evolution of Protein-Protein Interaction Inducers. ACS Synth Biol 2021; 10:2096-2110. [PMID: 34319091 DOI: 10.1021/acssynbio.1c00276] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Molecules that induce interactions between proteins, often referred to as "molecular glues", are increasingly recognized as important therapeutic modalities and as entry points for rewiring cellular signaling networks. Here, we report a new PACE-based method to rapidly select and evolve molecules that mediate interactions between otherwise noninteracting proteins: rapid evolution of protein-protein interaction glues (rePPI-G). By leveraging proximity-dependent split RNA polymerase-based biosensors, we developed E. coli-based detection and selection systems that drive gene expression outputs only when interactions between target proteins are induced. We then validated the system using engineered bivalent molecular glues, showing that rePPI-G robustly selects for molecules that induce the target interaction. Proof-of-concept evolutions demonstrated that rePPI-G reduces the "hook effect" of the engineered molecular glues, due at least in part to tuning the interaction affinities of each individual component of the bifunctional molecule. Altogether, this work validates rePPI-G as a continuous, phage-based evolutionary technology for optimizing molecular glues, providing a strategy for developing molecules that reprogram protein-protein interactions.
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Affiliation(s)
- Jeffrey A. Dewey
- Department of Chemistry, The University of Chicago, Chicago, Illinois 60615, United States
| | - Saara-Anne Azizi
- Department of Chemistry, The University of Chicago, Chicago, Illinois 60615, United States
| | - Vivian Lu
- Department of Chemistry, The University of Chicago, Chicago, Illinois 60615, United States
| | - Bryan C. Dickinson
- Department of Chemistry, The University of Chicago, Chicago, Illinois 60615, United States
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12
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Sijbesma E, Hallenbeck KK, Andrei SA, Rust RR, Adriaans JMC, Brunsveld L, Arkin MR, Ottmann C. Exploration of a 14-3-3 PPI Pocket by Covalent Fragments as Stabilizers. ACS Med Chem Lett 2021; 12:976-982. [PMID: 34136078 PMCID: PMC8201753 DOI: 10.1021/acsmedchemlett.1c00088] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/04/2021] [Indexed: 12/20/2022] Open
Abstract
![]()
The systematic discovery
of functional fragments binding to the
composite interface of protein complexes is a first critical step
for the development of orthosteric stabilizers of protein–protein
interactions (PPIs). We have previously shown that disulfide trapping
successfully yielded covalent stabilizers for the PPI of 14-3-3 with
the estrogen receptor ERα. Here we provide an assessment of
the composite PPI target pocket and the molecular characteristics
of various fragments binding to a specific subpocket. Evaluating structure–activity
relationships highlights the basic principles for PPI stabilization
by these covalent fragments that engage a relatively large and exposed
binding pocket at the protein/peptide interface with a “molecular
glue” mode of action.
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Affiliation(s)
- Eline Sijbesma
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Kenneth K. Hallenbeck
- Department of Pharmaceutical Chemistry and Small Molecule Discovery Center (SMDC), University of California, San Francisco 94134, United States
| | - Sebastian A. Andrei
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Reanne R. Rust
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Joris M. C. Adriaans
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Luc Brunsveld
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Michelle R. Arkin
- Department of Pharmaceutical Chemistry and Small Molecule Discovery Center (SMDC), University of California, San Francisco 94134, United States
| | - Christian Ottmann
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
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13
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Kuusk A, Boyd H, Chen H, Ottmann C. Small-molecule modulation of p53 protein-protein interactions. Biol Chem 2021; 401:921-931. [PMID: 32049643 DOI: 10.1515/hsz-2019-0405] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 02/03/2020] [Indexed: 12/22/2022]
Abstract
Small-molecule modulation of protein-protein interactions (PPIs) is a very promising but also challenging area in drug discovery. The tumor suppressor protein p53 is one of the most frequently altered proteins in human cancers, making it an attractive target in oncology. 14-3-3 proteins have been shown to bind to and positively regulate p53 activity by protecting it from MDM2-dependent degradation or activating its DNA binding affinity. PPIs can be modulated by inhibiting or stabilizing specific interactions by small molecules. Whereas inhibition has been widely explored by the pharmaceutical industry and academia, the opposite strategy of stabilizing PPIs still remains relatively underexploited. This is rather interesting considering the number of natural compounds like rapamycin, forskolin and fusicoccin that exert their activity by stabilizing specific PPIs. In this review, we give an overview of 14-3-3 interactions with p53, explain isoform specific stabilization of the tumor suppressor protein, explore the approach of stabilizing the 14-3-3σ-p53 complex and summarize some promising small molecules inhibiting the p53-MDM2 protein-protein interaction.
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Affiliation(s)
- Ave Kuusk
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, NL-5600MB Eindhoven, The Netherlands
- Discovery Sciences, IMED Biotech Unit, AstraZeneca, S-43183 Mölndal, Sweden
| | - Helen Boyd
- Clinical Pharmacology and Safety Sciences, AstraZeneca, Cambridge, UK
| | - Hongming Chen
- Guangzhou Regenerative Medicine and Health-Guangdong Laboratory, Science Park, Guangzhou 510530, China
| | - Christian Ottmann
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, NL-5600MB Eindhoven, The Netherlands
- Department of Chemistry, University of Duisburg-Essen, D-45141 Essen, Germany
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14
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Torchet R, Druart K, Ruano LC, Moine-Franel A, Borges H, Doppelt-Azeroual O, Brancotte B, Mareuil F, Nilges M, Ménager H, Sperandio O. The iPPI-DB initiative: A Community-centered database of Protein-Protein Interaction modulators. Bioinformatics 2021; 37:89-96. [PMID: 33416858 PMCID: PMC8034526 DOI: 10.1093/bioinformatics/btaa1091] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 11/25/2020] [Accepted: 12/23/2020] [Indexed: 11/13/2022] Open
Abstract
MOTIVATION One avenue to address the paucity of clinically testable targets is to reinvestigate the druggable genome by tackling complicated types of targets such as Protein-Protein Interactions (PPIs). Given the challenge to target those interfaces with small chemical compounds, it has become clear that learning from successful examples of PPI modulation is a powerful strategy. Freely-accessible databases of PPI modulators that provide the community with tractable chemical and pharmacological data, as well as powerful tools to query them, are therefore essential to stimulate new drug discovery projects on PPI targets. RESULTS Here, we present the new version iPPI-DB, our manually curated database of PPI modulators. In this completely redesigned version of the database, we introduce a new web interface relying on crowdsourcing for the maintenance of the database. This interface was created to enable community contributions, whereby external experts can suggest new database entries. Moreover, the data model, the graphical interface, and the tools to query the database have been completely modernized and improved. We added new PPI modulators, new PPI targets, and extended our focus to stabilizers of PPIs as well. AVAILABILITY AND IMPLEMENTATION The iPPI-DB server is available at https://ippidb.pasteur.fr The source code for this server is available at https://gitlab.pasteur.fr/ippidb/ippidb-web/ and is distributed under GPL licence (http://www.gnu.org/licences/gpl). Queries can be shared through persistent links according to the FAIR data standards. Data can be downloaded from the website as csv files. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Rachel Torchet
- Hub de Bioinformatique et Biostatistique-Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris, France
| | - Karen Druart
- Department of Structural Biology and Chemistry, Institut Pasteur, Paris, 75015, France
| | - Luis Checa Ruano
- Department of Structural Biology and Chemistry, Institut Pasteur, Paris, 75015, France
| | | | - Hélène Borges
- Department of Structural Biology and Chemistry, Institut Pasteur, Paris, 75015, France
| | - Olivia Doppelt-Azeroual
- Hub de Bioinformatique et Biostatistique-Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris, France
| | - Bryan Brancotte
- Hub de Bioinformatique et Biostatistique-Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris, France
| | - Fabien Mareuil
- Hub de Bioinformatique et Biostatistique-Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris, France
| | - Michael Nilges
- Department of Structural Biology and Chemistry, Institut Pasteur, Paris, 75015, France
| | - Hervé Ménager
- Hub de Bioinformatique et Biostatistique-Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris, France
| | - Olivier Sperandio
- Department of Structural Biology and Chemistry, Institut Pasteur, Paris, 75015, France
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15
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Algar S, Martín-Martínez M, González-Muñiz R. Evolution in non-peptide α-helix mimetics on the road to effective protein-protein interaction modulators. Eur J Med Chem 2020; 211:113015. [PMID: 33423841 DOI: 10.1016/j.ejmech.2020.113015] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 11/04/2020] [Accepted: 11/09/2020] [Indexed: 02/04/2023]
Abstract
Modulation of interactome networks, essentially protein-protein interactions (PPIs), might represent valuable therapeutic approaches to different pathological conditions. Since a high percentage of PPIs are mediated by α-helical structures at the interacting surface, the development of compounds able to reproduce the amino acid side-chain organization of α-helices (e.g. stabilized α-helix peptides and β-derivatives, proteomimetics, and α-helix small-molecule mimetics) focuses the attention of different research groups. This appraisal describes the recent progress in the non-peptide α-helix mimetics field, which has evolved from single-face to multi-face reproducing compounds and from oligomeric to monomeric scaffolds able to bear different substituents in similar spatial dispositions as the side-chains in canonical helices. Grouped by chemical structures, the review contemplates terphenyl-like molecules, oligobenzamides and heterocyclic analogues, benzamide-amino acid conjugates and non-oligomeric small-molecules mimetics, among others, and their effectiveness to stabilize/disrupt therapeutically relevant PPIs. The X-ray structures of a couple of oligomeric peptidomimetics and of some small-molecules complexed with the MDM2 protein, as well as the state of the art on their development in clinical trials, are also remarked. The discovery of a continuously increasing number of new disease-relevant PPIs could offer future opportunities for these and other forthcoming α-helix mimetics.
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Affiliation(s)
- Sergio Algar
- Instituto de Química Médica, IQM-CSIC, Juan de La Cierva 3, 28006, Madrid, Spain
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16
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Lu H, Zhou Q, He J, Jiang Z, Peng C, Tong R, Shi J. Recent advances in the development of protein-protein interactions modulators: mechanisms and clinical trials. Signal Transduct Target Ther 2020; 5:213. [PMID: 32968059 PMCID: PMC7511340 DOI: 10.1038/s41392-020-00315-3] [Citation(s) in RCA: 364] [Impact Index Per Article: 91.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 07/15/2020] [Accepted: 07/23/2020] [Indexed: 02/05/2023] Open
Abstract
Protein-protein interactions (PPIs) have pivotal roles in life processes. The studies showed that aberrant PPIs are associated with various diseases, including cancer, infectious diseases, and neurodegenerative diseases. Therefore, targeting PPIs is a direction in treating diseases and an essential strategy for the development of new drugs. In the past few decades, the modulation of PPIs has been recognized as one of the most challenging drug discovery tasks. In recent years, some PPIs modulators have entered clinical studies, some of which been approved for marketing, indicating that the modulators targeting PPIs have broad prospects. Here, we summarize the recent advances in PPIs modulators, including small molecules, peptides, and antibodies, hoping to provide some guidance to the design of novel drugs targeting PPIs in the future.
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Affiliation(s)
- Haiying Lu
- Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, 610072, Chengdu, China
| | - Qiaodan Zhou
- Department of Ultrasonic, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, 610072, Chengdu, China
| | - Jun He
- Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, 610041, Sichuan, China
| | - Zhongliang Jiang
- Miller School of Medicine, University of Miami, Miami, FL, 33136, USA
| | - Cheng Peng
- The Ministry of Education Key Laboratory of Standardization of Chinese Herbal Medicines of Ministry, State Key Laboratory Breeding Base of Systematic Research, Development and Utilization of Chinese Medicine Resources, Pharmacy College, Chengdu University of Traditional Chinese Medicine, 611137, Chengdu, China.
| | - Rongsheng Tong
- Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, 610072, Chengdu, China.
| | - Jianyou Shi
- Personalized Drug Therapy Key Laboratory of Sichuan Province, Department of Pharmacy, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, 610072, Chengdu, China.
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17
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Sijbesma E, Visser E, Plitzko K, Thiel P, Milroy LG, Kaiser M, Brunsveld L, Ottmann C. Structure-based evolution of a promiscuous inhibitor to a selective stabilizer of protein-protein interactions. Nat Commun 2020; 11:3954. [PMID: 32770072 PMCID: PMC7414219 DOI: 10.1038/s41467-020-17741-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 07/10/2020] [Indexed: 01/01/2023] Open
Abstract
The systematic stabilization of protein–protein interactions (PPI) has great potential as innovative drug discovery strategy to target novel and hard-to-drug protein classes. The current lack of chemical starting points and focused screening opportunities limits the identification of small molecule stabilizers that engage two proteins simultaneously. Starting from our previously described virtual screening strategy to identify inhibitors of 14-3-3 proteins, we report a conceptual molecular docking approach providing concrete entries for discovery and rational optimization of stabilizers for the interaction of 14-3-3 with the carbohydrate-response element-binding protein (ChREBP). X-ray crystallography reveals a distinct difference in the binding modes between weak and general inhibitors of 14-3-3 complexes and a specific, potent stabilizer of the 14-3-3/ChREBP complex. Structure-guided stabilizer optimization results in selective, up to 26-fold enhancement of the 14-3-3/ChREBP interaction. This study demonstrates the potential of rational design approaches for the development of selective PPI stabilizers starting from weak, promiscuous PPI inhibitors. Small molecule stabilizers of protein–protein interactions hold great therapeutic potential. Based on virtual screening and molecular docking, the authors here develop a strategy to evolve weak, promiscuous inhibitors of 14-3-3 interactions into selective stabilizers of the 14-3-3/ChREBP complex.
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Affiliation(s)
- Eline Sijbesma
- Laboratory of Chemical Biology and Institute for Complex Molecular Systems (ICMS), Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Emira Visser
- Laboratory of Chemical Biology and Institute for Complex Molecular Systems (ICMS), Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Kathrin Plitzko
- Chemical Biology, Center of Medical Biotechnology, Faculty of Biology, University of Duisburg-Essen, Duisburg, Germany
| | - Philipp Thiel
- Institute for Biomedical Informatics and Medical Informatics, University of Tübingen, Tübingen, Germany
| | - Lech-Gustav Milroy
- Laboratory of Chemical Biology and Institute for Complex Molecular Systems (ICMS), Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Markus Kaiser
- Chemical Biology, Center of Medical Biotechnology, Faculty of Biology, University of Duisburg-Essen, Duisburg, Germany.
| | - Luc Brunsveld
- Laboratory of Chemical Biology and Institute for Complex Molecular Systems (ICMS), Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands.
| | - Christian Ottmann
- Laboratory of Chemical Biology and Institute for Complex Molecular Systems (ICMS), Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands. .,Department of Organic Chemistry, University of Duisburg-Essen, Duisburg, Germany.
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18
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Ascolani G, Skerry TM, Lacroix D, Dall'Ara E, Shuaib A. Revealing hidden information in osteoblast's mechanotransduction through analysis of time patterns of critical events. BMC Bioinformatics 2020; 21:114. [PMID: 32183690 PMCID: PMC7079370 DOI: 10.1186/s12859-020-3394-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 02/04/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Mechanotransduction in bone cells plays a pivotal role in osteoblast differentiation and bone remodelling. Mechanotransduction provides the link between modulation of the extracellular matrix by mechanical load and intracellular activity. By controlling the balance between the intracellular and extracellular domains, mechanotransduction determines the optimum functionality of skeletal dynamics. Failure of this relationship was suggested to contribute to bone-related diseases such as osteoporosis. RESULTS A hybrid mechanical and agent-based model (Mech-ABM), simulating mechanotransduction in a single osteoblast under external mechanical perturbations, was utilised to simulate and examine modulation of the activation dynamics of molecules within mechanotransduction on the cellular response to mechanical stimulation. The number of molecules and their fluctuations have been analysed in terms of recurrences of critical events. A numerical approach has been developed to invert subordination processes and to extract the direction processes from the molecular signals in order to derive the distribution of recurring events. These predict that there are large fluctuations enclosing information hidden in the noise which is beyond the dynamic variations of molecular baselines. Moreover, studying the system under different mechanical load regimes and altered dynamics of feedback loops, illustrate that the waiting time distributions of each molecule are a signature of the system's state. CONCLUSIONS The behaviours of the molecular waiting times change with the changing of mechanical load regimes and altered dynamics of feedback loops, presenting the same variation of patterns for similar interacting molecules and identifying specific alterations for key molecules in mechanotransduction. This methodology could be used to provide a new tool to identify potent molecular candidates to modulate mechanotransduction, hence accelerate drug discovery towards therapeutic targets for bone mass upregulation.
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Affiliation(s)
- Gianluca Ascolani
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
- Insigneo Institute of In Silico Medicine, University of Sheffield, Sheffield, UK
| | - Timothy M Skerry
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Damien Lacroix
- Insigneo Institute of In Silico Medicine, University of Sheffield, Sheffield, UK
- Department of Mechanical Engineering, University of Sheffield, Sheffield, UK
| | - Enrico Dall'Ara
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
- Insigneo Institute of In Silico Medicine, University of Sheffield, Sheffield, UK
| | - Aban Shuaib
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK.
- Insigneo Institute of In Silico Medicine, University of Sheffield, Sheffield, UK.
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19
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Gemovic B, Sumonja N, Davidovic R, Perovic V, Veljkovic N. Mapping of Protein-Protein Interactions: Web-Based Resources for Revealing Interactomes. Curr Med Chem 2019; 26:3890-3910. [PMID: 29446725 DOI: 10.2174/0929867325666180214113704] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 09/14/2017] [Accepted: 01/29/2018] [Indexed: 01/04/2023]
Abstract
BACKGROUND The significant number of protein-protein interactions (PPIs) discovered by harnessing concomitant advances in the fields of sequencing, crystallography, spectrometry and two-hybrid screening suggests astonishing prospects for remodelling drug discovery. The PPI space which includes up to 650 000 entities is a remarkable reservoir of potential therapeutic targets for every human disease. In order to allow modern drug discovery programs to leverage this, we should be able to discern complete PPI maps associated with a specific disorder and corresponding normal physiology. OBJECTIVE Here, we will review community available computational programs for predicting PPIs and web-based resources for storing experimentally annotated interactions. METHODS We compared the capacities of prediction tools: iLoops, Struck2Net, HOMCOS, COTH, PrePPI, InterPreTS and PRISM to predict recently discovered protein interactions. RESULTS We described sequence-based and structure-based PPI prediction tools and addressed their peculiarities. Additionally, since the usefulness of prediction algorithms critically depends on the quality and quantity of the experimental data they are built on; we extensively discussed community resources for protein interactions. We focused on the active and recently updated primary and secondary PPI databases, repositories specialized to the subject or species, as well as databases that include both experimental and predicted PPIs. CONCLUSION PPI complexes are the basis of important physiological processes and therefore, possible targets for cell-penetrating ligands. Reliable computational PPI predictions can speed up new target discoveries through prioritization of therapeutically relevant protein-protein complexes for experimental studies.
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Affiliation(s)
- Branislava Gemovic
- Center for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade, Serbia
| | - Neven Sumonja
- Center for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade, Serbia
| | - Radoslav Davidovic
- Center for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade, Serbia
| | - Vladimir Perovic
- Center for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade, Serbia
| | - Nevena Veljkovic
- Center for Multidisciplinary Research, Institute of Nuclear Sciences Vinca, University of Belgrade, Belgrade, Serbia
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20
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Da Silva F, Bret G, Teixeira L, Gonzalez CF, Rognan D. Exhaustive Repertoire of Druggable Cavities at Protein-Protein Interfaces of Known Three-Dimensional Structure. J Med Chem 2019; 62:9732-9742. [PMID: 31603323 DOI: 10.1021/acs.jmedchem.9b01184] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Protein-protein interactions (PPIs) offer the unique opportunity to tailor ligands aimed at specifically stabilizing or disrupting the corresponding interfaces and providing a safer alternative to conventional ligands targeting monomeric macromolecules. Selecting biologically relevant protein-protein interfaces for either stabilization or disruption by small molecules is usually biology-driven on a case-by-case basis and does not follow a structural rationale that could be applied to an entire interactome. We herewith provide a first step to the latter goal by using a fully automated and structure-based workflow, applicable to any PPI of known three-dimensional (3D) structure, to identify and prioritize druggable cavities at and nearby PPIs of pharmacological interest. When applied to the entire Protein Data Bank, 164 514 druggable cavities were identified and classified in four groups (interfacial, rim, allosteric, orthosteric) according to their properties and spatial locations. Systematic comparison of PPI cavities with pockets deduced from druggable protein-ligand complexes shows almost no overlap in property space, suggesting that even the most druggable PPI cavities are unlikely to be addressed with conventional drug-like compound libraries. The archive is freely accessible at http://drugdesign.unistra.fr/ppiome .
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Affiliation(s)
- Franck Da Silva
- Laboratoire d'Innovation Thérapeutique , UMR 7200 CNRS-Université de Strasbourg , 67400 Illkirch , France
| | - Guillaume Bret
- Laboratoire d'Innovation Thérapeutique , UMR 7200 CNRS-Université de Strasbourg , 67400 Illkirch , France
| | - Leandro Teixeira
- Department of Microbiology and Cell Science, Genetics Institute, Institute of Food and Agricultural Sciences , University of Florida , Gainesville , Florida 32610-3610 , United States
| | - Claudio F Gonzalez
- Department of Microbiology and Cell Science, Genetics Institute, Institute of Food and Agricultural Sciences , University of Florida , Gainesville , Florida 32610-3610 , United States
| | - Didier Rognan
- Laboratoire d'Innovation Thérapeutique , UMR 7200 CNRS-Université de Strasbourg , 67400 Illkirch , France
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21
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Bitan G. Disease-modifying therapy for proteinopathies: Can the exception become the rule? PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2019; 168:277-287. [PMID: 31699321 DOI: 10.1016/bs.pmbts.2019.07.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Disease-modifying therapies for proteinopathies are urgently needed yet clinical trials for the major neurodegenerative diseases, Alzheimer's and Parkinson's, have been failing at an alarming rate leaving patients and caregivers scrambling for any sign of hope. At the same time, for one family of proteinopathies, the rare TTR amyloidoses, disease-modifying therapy has existed for almost 3 decades and two new types of disease-modifying therapy have become available more recently. In this chapter, I discuss those therapies, examine to what extent they can be generalized for other diseases, and consider what we may learn from their relative success.
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Affiliation(s)
- Gal Bitan
- Department of Neurology, David Geffen School of Medicine, Brain Research Institute, and Molecular Biology Institute, University of California, Los Angeles, CA, United States.
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22
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Kurokawa N, Kishimoto T, Tanaka K, Kondo J, Takahashi N, Miura Y. New approach to evaluating the effects of a drug on protein complexes with quantitative proteomics, using the SILAC method and bioinformatic approach. Biosci Biotechnol Biochem 2019; 83:2034-2048. [PMID: 31282289 DOI: 10.1080/09168451.2019.1637244] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Protein-protein interactions (PPIs) lead the formation of protein complexes that perform biochemical reactions that maintain the living state of the living cell. Although therapeutic drugs should influence the formation of protein complexes in addition to PPI network, the methodology analyzing such influences remain to be developed. Here, we demonstrate that a new approach combining HPLC (high performance liquid chromatography) for separating protein complexes, and the SILAC (stable isotope labeling using amino acids in cell culture) method for relative protein quantification, enable us to identify the protein complexes influenced by a drug. We applied this approach to the analysis of thalidomide action on HepG2 cells, assessed the identified proteins by clustering data analyses, and assigned 135 novel protein complexes affected by the drug. We propose that this approach is applicable to elucidating the mechanisms of actions of other therapeutic drugs on the PPI network, and the formation of protein complexes.
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Affiliation(s)
- Natsuki Kurokawa
- Graduate School of Agriculture, Tokyo University of Agriculture & Technology , Fuchu-shi, Tokyo , Japan.,Innovative Research Division, Mitsubishi Tanabe Pharma Corporation , Chuo-ku , Japan
| | - Taro Kishimoto
- Innovative Research Division, Mitsubishi Tanabe Pharma Corporation , Chuo-ku , Japan
| | - Kohei Tanaka
- Innovative Research Division, Mitsubishi Tanabe Pharma Corporation , Chuo-ku , Japan
| | - Jun Kondo
- Innovative Research Division, Mitsubishi Tanabe Pharma Corporation , Chuo-ku , Japan
| | - Nobuhiro Takahashi
- Graduate School of Agriculture, Tokyo University of Agriculture & Technology , Fuchu-shi, Tokyo , Japan
| | - Yutaka Miura
- Graduate School of Agriculture, Tokyo University of Agriculture & Technology , Fuchu-shi, Tokyo , Japan
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23
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Rational modulator design by exploitation of protein-protein complex structures. Future Med Chem 2019; 11:1015-1033. [PMID: 31141413 DOI: 10.4155/fmc-2018-0433] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The horizon of drug discovery is currently expanding to target and modulate protein-protein interactions (PPIs) in globular proteins and intrinsically disordered proteins that are involved in various diseases. To either interrupt or stabilize PPIs, the 3D structure of target protein-protein (or protein-peptide) complexes can be exploited to rationally design PPI modulators (inhibitors or stabilizers) through structure-based molecular design. In this review, we present an overview of experimental and computational methods that can be used to determine 3D structures of protein-protein complexes. Several approaches including rational and in silico methods that can be applied to design peptides, peptidomimetics and small compounds by utilization of determined 3D protein-protein/peptide complexes are summarized and illustrated.
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24
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Esneau C, Raynal B, Roblin P, Brûlé S, Richard CA, Fix J, Eléouët JF, Galloux M. Biochemical characterization of the respiratory syncytial virus N 0-P complex in solution. J Biol Chem 2019; 294:3647-3660. [PMID: 30626736 PMCID: PMC6416419 DOI: 10.1074/jbc.ra118.006453] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 12/21/2018] [Indexed: 12/24/2022] Open
Abstract
As all the viruses belonging to the Mononegavirales order, the nonsegmented negative-strand RNA genome of respiratory syncytial virus (RSV) is encapsidated by the viral nucleoprotein N. N protein polymerizes along the genomic and anti-genomic RNAs during replication. This requires the maintenance of the neosynthesized N protein in a monomeric and RNA-free form by the viral phosphoprotein P that plays the role of a chaperone protein, forming a soluble N0-P complex. We have previously demonstrated that residues 1-30 of P specifically bind to N0 Here, to isolate a stable N0-P complex suitable for structural studies, we used the N-terminal peptide of P (P40) to purify truncated forms of the N protein. We show that to purify a stable N0-P-like complex, a deletion of the first 30 N-terminal residues of N (NΔ30) is required to impair N oligomerization, whereas the presence of a full-length C-arm of N is required to inhibit RNA binding. We generated structural models of the RSV N0-P with biophysical approaches, including hydrodynamic measurements and small-angle X-ray scattering (SAXS), coupled with biochemical and functional analyses of human RSV (hRSV) NΔ30 mutants. These models suggest a strong structural homology between the hRSV and the human metapneumovirus (hMPV) N0-P complexes. In both complexes, the P40-binding sites on N0 appear to be similar, and the C-arm of N provides a high flexibility and a propensity to interact with the N RNA groove. These findings reveal two potential sites to target on N0-P for the development of RSV antivirals.
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Affiliation(s)
- Camille Esneau
- From the Untié de Virologie et Immunologie Moléculaires, Institut National de la Recherche Agronomique, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Bertrand Raynal
- Plate-forme de Biophysique Moléculaire, C2RT, Institut Pasteur, 25 Rue du Docteur Roux, 75015 Paris, France
| | - Pierre Roblin
- Synchrotron SOLEIL, L'Orme des Merisiers, F-91410 Saint Aubin, France, and
- Laboratoire de Génie Chimique, Université Paul Sabatier, UMR 5503, Toulouse, France
| | - Sébastien Brûlé
- Plate-forme de Biophysique Moléculaire, C2RT, Institut Pasteur, 25 Rue du Docteur Roux, 75015 Paris, France
| | - Charles-Adrien Richard
- From the Untié de Virologie et Immunologie Moléculaires, Institut National de la Recherche Agronomique, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Jenna Fix
- From the Untié de Virologie et Immunologie Moléculaires, Institut National de la Recherche Agronomique, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Jean-François Eléouët
- From the Untié de Virologie et Immunologie Moléculaires, Institut National de la Recherche Agronomique, Université Paris-Saclay, 78350 Jouy-en-Josas, France,
| | - Marie Galloux
- From the Untié de Virologie et Immunologie Moléculaires, Institut National de la Recherche Agronomique, Université Paris-Saclay, 78350 Jouy-en-Josas, France,
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25
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Sijbesma E, Hallenbeck KK, Leysen S, de Vink PJ, Skóra L, Jahnke W, Brunsveld L, Arkin MR, Ottmann C. Site-Directed Fragment-Based Screening for the Discovery of Protein–Protein Interaction Stabilizers. J Am Chem Soc 2019; 141:3524-3531. [DOI: 10.1021/jacs.8b11658] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Eline Sijbesma
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Kenneth K. Hallenbeck
- Department of Pharmaceutical Chemistry and Small Molecule Discovery Centre (SMDC), University of California, San Francisco 94143, United States
| | - Seppe Leysen
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Pim J. de Vink
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Lukasz Skóra
- Chemical Biology and Therapeutics, Novartis Institutes for Biomedical Research, CH-4056 Basel, Switzerland
| | - Wolfgang Jahnke
- Chemical Biology and Therapeutics, Novartis Institutes for Biomedical Research, CH-4056 Basel, Switzerland
| | - Luc Brunsveld
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Michelle R. Arkin
- Department of Pharmaceutical Chemistry and Small Molecule Discovery Centre (SMDC), University of California, San Francisco 94143, United States
| | - Christian Ottmann
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
- Department of Chemistry, University of Duisburg-Essen, 47057 Essen, Germany
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26
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Allosteric Modulators of Protein-Protein Interactions (PPIs). ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1163:313-334. [PMID: 31707709 DOI: 10.1007/978-981-13-8719-7_13] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Protein-protein interactions (PPIs) represent promising drug targets of broad-spectrum therapeutic interests due to their critical implications in both health and disease circumstances. Hence, they are widely accepted as the Holy Grail of drug development. Historically, PPIs were rendered "undruggable" for their large, flat, and pocket-less structures. Current attempts to drug these "intractable" targets include orthosteric and allosteric methodologies. Previous efforts employing orthosteric approaches like protein therapeutics and orthosteric small molecules frequently suffered from poor performance caused by the difficulties in directly targeting PPI interfaces. As structural biology progresses rapidly, allosteric modulators, which direct to the allosteric regulatory sites remote to the PPI surfaces, have gradually established as a potential solution. Allosteric pockets are topologically distal from the PPI orthosteric sites, and their ligands do not need to compete with the PPI partners, which helps to improve the physiochemical and pharmacological properties of allosteric PPI modulators. Thus, exploiting allostery to tailor PPIs is regarded as a tempting strategy in future PPI drug discovery. Here, we provide a comprehensive review of our representative achievements along the way we utilize allosteric effects to tame the difficult PPI systems into druggable targets. Importantly, we provide an in-depth mechanistic analysis of this success, which will be instructive to future related lead optimizations and drug design. Finally, we discuss the current challenges in allosteric PPI drug discovery. Their solutions as well as future perspectives are also presented.
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27
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Maubach G, Schmädicke AC, Naumann M. NEMO Links Nuclear Factor-κB to Human Diseases. Trends Mol Med 2017; 23:1138-1155. [PMID: 29128367 DOI: 10.1016/j.molmed.2017.10.004] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 10/16/2017] [Accepted: 10/19/2017] [Indexed: 12/13/2022]
Abstract
The nuclear factor (NF)-κB essential modulator (NEMO) is a key regulator in NF-κB-mediated signaling. By transmitting extracellular or intracellular signals, NEMO can control NF-κB-regulated genes. NEMO dysfunction is associated with inherited diseases such as incontinentia pigmenti (IP), ectodermal dysplasia, anhidrotic, with immunodeficiency (EDA-ID), and some cancers. We focus on molecular studies, human case reports, and mouse models emphasizing the significance of NEMO molecular interactions and modifications in health and diseases. This knowledge opens new opportunities to engineer suitable drugs that may putatively target precise NEMO functions attributable to various diseases, while leaving other functions intact, and eliminating cytotoxicity. Indeed, with the advent of novel gene editing tools such as clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein (Cas)9, treating some inherited diseases may in the long run, become a reality.
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Affiliation(s)
- Gunter Maubach
- Institute of Experimental Internal Medicine, Otto von Guericke University, Magdeburg, Germany
| | - Ann-Christin Schmädicke
- Institute of Experimental Internal Medicine, Otto von Guericke University, Magdeburg, Germany
| | - Michael Naumann
- Institute of Experimental Internal Medicine, Otto von Guericke University, Magdeburg, Germany.
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28
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Wang YR, Chen SF, Wu CC, Liao YW, Lin TS, Liu KT, Chen YS, Li TK, Chien TC, Chan NL. Producing irreversible topoisomerase II-mediated DNA breaks by site-specific Pt(II)-methionine coordination chemistry. Nucleic Acids Res 2017; 45:10861-10871. [PMID: 28977631 PMCID: PMC5737487 DOI: 10.1093/nar/gkx742] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 08/22/2017] [Indexed: 01/15/2023] Open
Abstract
Human type II topoisomerase (Top2) isoforms, hTop2α and hTop2β, are targeted by some of the most successful anticancer drugs. These drugs induce Top2-mediated DNA cleavage to trigger cell-death pathways. The potency of these drugs correlates positively with their efficacy in stabilizing the enzyme-mediated DNA breaks. Structural analysis of hTop2α and hTop2β revealed the presence of methionine residues in the drug-binding pocket, we therefore tested whether a tighter Top2-drug association may be accomplished by introducing a methionine-reactive Pt2+ into a drug to further stabilize the DNA break. Herein, we synthesized an organoplatinum compound, etoplatin-N2β, by replacing the methionine-juxtaposing group of the drug etoposide with a cis-dichlorodiammineplatinum(II) moiety. Compared to etoposide, etoplatin-N2β more potently inhibits both human Top2s. While the DNA breaks arrested by etoposide can be rejoined, those captured by etoplatin-N2β are practically irreversible. Crystallographic analyses of hTop2β complexed with DNA and etoplatin-N2β demonstrate coordinate bond formation between Pt2+ and a flanking methionine. Notably, this stable coordinate tether can be loosened by disrupting the structural integrity of drug-binding pocket, suggesting that Pt2+ coordination chemistry may allow for the development of potent inhibitors with protein conformation-dependent reversibility. This approach may be exploited to achieve isoform-specific targeting of human Top2s.
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Affiliation(s)
- Ying-Ren Wang
- Institute of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Shin-Fu Chen
- Institute of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Chyuan-Chuan Wu
- Institute of Molecular Biology, Academia Sinica, Taipei 115, Taiwan
| | - Yi-Wen Liao
- Institute of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Te-Sheng Lin
- Institute of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Ko-Ting Liu
- Institute of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Yi-Song Chen
- Department and Graduate Institute of Microbiology, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Tsai-Kun Li
- Department and Graduate Institute of Microbiology, College of Medicine, National Taiwan University, Taipei 100, Taiwan.,Center for Biotechnology, National Taiwan University, Taipei 106, Taiwan
| | - Tun-Cheng Chien
- Department of Chemistry, National Taiwan Normal University, Taipei 116, Taiwan
| | - Nei-Li Chan
- Institute of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei 100, Taiwan.,Institute of Biochemistry, College of Life Sciences, National Chung Hsing University, Taichung 402, Taiwan
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29
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Disrupting VEGF-VEGFR1 Interaction: De Novo Designed Linear Helical Peptides to Mimic the VEGF 13-25 Fragment. Molecules 2017; 22:molecules22111846. [PMID: 29143774 PMCID: PMC6150346 DOI: 10.3390/molecules22111846] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Revised: 10/20/2017] [Accepted: 10/26/2017] [Indexed: 12/20/2022] Open
Abstract
The interaction between vascular endothelial growth factor (VEGF) and its receptors (VEGFR) has important implications in angiogenesis and cancer, which moved us to search for peptide derivatives able to block this protein–protein interaction. In a previous work we had described a collection of linear 13-mer peptides specially designed to adopt helical conformations (Ac-SSEEX5ARNX9AAX12N-NH2), as well as the evaluation of seven library components for the inhibition of the interaction of VEGF with its Receptor 1 (VEGFR1). This study led to the discovery of some new, quite potent inhibitors of this protein–protein system. The results we found prompted us to extend the study to other peptides of the library. We describe here the evaluation of a new selection of peptides from the initial library that allow us to identify new VEGF-VEGFR1 inhibitors. Among them, the peptide sequence containing F, W, and I residues at the 5, 9, and 12 positions, show a very significant nanomolar IC50 value, competing with VEGF for its receptor 1, VEGFR1 (Flt-1), which could represent a new tool within the therapeutic arsenal for cancer detection and therapy.
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30
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Zhai K, Zheng J, Tang Y, Li F, Lv Y, Zhang Y, Gao Z, Qi J, Yu B, Kou J. The saponin D39 blocks dissociation of non-muscular myosin heavy chain IIA from TNF receptor 2, suppressing tissue factor expression and venous thrombosis. Br J Pharmacol 2017; 174:2818-2831. [PMID: 28547925 PMCID: PMC5554322 DOI: 10.1111/bph.13885] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 04/27/2017] [Accepted: 05/08/2017] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND AND PURPOSE Non-muscular myosin heavy chain IIA (NMMHC IIA) plays a key role in tissue factor expression and venous thrombosis. Natural products might inhibit thrombosis through effects on NMMHC IIA. Here, we have shown that a natural saponin, D39, from Liriope muscari exerted anti-thrombotic activity in vivo, by targeting NMMHC IIA. EXPERIMENTAL APPROACH Expression and activity of tissue factor in endothelial cells were analysed in vitro by Western blot and simplified chromogenic assays. Interactions between D39 and NMMHC IIA were assessed by serial affinity chromatography and molecular docking analysis. D39-dependent interactions between NMMHC IIA and TNF receptor 2 (TNFR2) were measured by immunofluorescence, co-immunoprecipitation and proximity ligation assays. Anti-thrombotic activity of D39 in vivo was evaluated with a model of inferior vena cava ligation injury in mice. KEY RESULTS D39 inhibited tissue factor expression and procoagulant activities in HUVECs and decreased thrombus weight in inferior vena cava-ligated mice dose-dependently. Serial affinity chromatography and molecular docking analysis suggested that D39 bound to NMMHC IIA. In HEK293T cells, D39 inhibited tissue factor expression evoked by NMMHC IIA overexpression. This effect was blocked by NMMHC IIA knockdown in HUVECs. D39 inhibited dissociation of NMMHC IIA from TNFR2, which subsequently modulated the Akt/GSK3β-NF-κB signalling pathways. CONCLUSIONS AND IMPLICATIONS D39 inhibited tissue factor expression and thrombus formation by modulating the Akt/GSK3β and NF-κB signalling pathways through NMMHC IIA. We identified a new natural product that targeted NMMHC IIA, as a potential treatment for thrombotic disorders and other vasculopathies.
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Affiliation(s)
- Ke‐feng Zhai
- State Key Laboratory of Natural Products, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCMChina Pharmaceutical UniversityNanjingChina
- Institute of Pharmaceutical Biotechnology, School of Biological and Food EngineeringSuzhou UniversitySuzhouChina
| | - Jin‐rong Zheng
- State Key Laboratory of Natural Products, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCMChina Pharmaceutical UniversityNanjingChina
| | - You‐mei Tang
- State Key Laboratory of Natural Products, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCMChina Pharmaceutical UniversityNanjingChina
| | - Fang Li
- State Key Laboratory of Natural Products, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCMChina Pharmaceutical UniversityNanjingChina
| | - Yan‐ni Lv
- State Key Laboratory of Natural Products, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCMChina Pharmaceutical UniversityNanjingChina
| | - Yuan‐yuan Zhang
- State Key Laboratory of Natural Products, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCMChina Pharmaceutical UniversityNanjingChina
| | - Zhen Gao
- Department of Medicine‐Ather&LipoBaylor Colledge of MedicineHoustonTXUSA
| | - Jin Qi
- State Key Laboratory of Natural Products, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCMChina Pharmaceutical UniversityNanjingChina
| | - Bo‐yang Yu
- State Key Laboratory of Natural Products, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCMChina Pharmaceutical UniversityNanjingChina
| | - Jun‐ping Kou
- State Key Laboratory of Natural Products, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Department of Complex Prescription of TCMChina Pharmaceutical UniversityNanjingChina
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31
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Andrei SA, Sijbesma E, Hann M, Davis J, O’Mahony G, Perry MWD, Karawajczyk A, Eickhoff J, Brunsveld L, Doveston RG, Milroy LG, Ottmann C. Stabilization of protein-protein interactions in drug discovery. Expert Opin Drug Discov 2017; 12:925-940. [DOI: 10.1080/17460441.2017.1346608] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Sebastian A. Andrei
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Eline Sijbesma
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Michael Hann
- Platform Technology and Science, Medicines Research Centre, GlaxoSmithKline R&D, Stevenage, UK
| | - Jeremy Davis
- Department of Chemistry, UCB Celltech, Slough, UK
| | - Gavin O’Mahony
- CVMD Medicinal Chemistry, Innovative Medicines and Early Development, AstraZeneca Gothenburg, Pepparedsleden, Mölndal, Sweden
| | - Matthew W. D. Perry
- RIA Medicinal Chemistry, Innovative Medicines and Early Development, AstraZeneca Gothenburg, Pepparedsleden, Mölndal, Sweden
| | - Anna Karawajczyk
- Medicinal Chemistry, Taros Chemicals GmbH & Co. KG, Dortmund, Germany
| | - Jan Eickhoff
- Assay development & screening, Lead Discovery Center GmbH, Dortmund, Germany
| | - Luc Brunsveld
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Richard G. Doveston
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Lech-Gustav Milroy
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Christian Ottmann
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands
- Department of Chemistry, University of Duisburg-Essen, Essen, Germany
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32
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Miteva MA, Villoutreix BO. Computational Biology and Chemistry in MTi: Emphasis on the Prediction of Some ADMET Properties. Mol Inform 2017; 36. [DOI: 10.1002/minf.201700008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 02/03/2017] [Indexed: 12/21/2022]
Affiliation(s)
- Maria A. Miteva
- Université Paris Diderot, Sorbonne Paris Cité, Molécules Thérapeutiques In Silico , Inserm UMR−S 973; 35 rue Helene Brion 75013 Paris France
- INSERM, U973; F-75205 Paris France
| | - Bruno O. Villoutreix
- Université Paris Diderot, Sorbonne Paris Cité, Molécules Thérapeutiques In Silico , Inserm UMR−S 973; 35 rue Helene Brion 75013 Paris France
- INSERM, U973; F-75205 Paris France
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33
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Dawei Z, Hongqiu H, Mengmeng L, Zhixia M, Shunxing G. A Novel Assay for Screening Inhibitors Targeting HIV Integrase LEDGF/p75 Interaction Based on Ni(2+) Coated Magnetic Agarose Beads. Sci Rep 2016; 6:33477. [PMID: 27633629 PMCID: PMC5025856 DOI: 10.1038/srep33477] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 08/24/2016] [Indexed: 01/04/2023] Open
Abstract
HIV-1 integrase (IN) plays an essential role in viral replication and thus serves as an important target for chemotherapeutic intervention against HIV-1 infection. However, the current three clinical IN inhibitors, raltegravir, elvitegravir and dolutegravir share the same inhibitory mechanism, resulting in a common clinical resistance profile which have emerged in infected patients receiving treatment. Therefore, it is important to develop small molecule inhibitors that impair IN function with distinct mechanisms of action. In this work, a magnetic-beads based biochemical assay targeting the protein-protein interaction (PPI) between HIV IN and the cellular cofactor LEDGF/p75 was developed for identification of HIV-1 IN inhibitors. Furthermore, a library containing 1000 US. Food and Drug Administration (FDA)-approved drugs currently used for human medication was screened to identify inhibitors targeting the PPI. The assay was proved to be quite robust and with the novel assay we successfully identified dexlansoprazole (IC50 of 4.8 μM), a FDA-approved proton pump inhibitor, as a potential inhibitor for the PPI between IN and LEDGF/p75, which bound to the LEDGF/p75 partner with a kinetic dissociation (Kd) constant of 330 nM ± 2.6 nM.
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Affiliation(s)
- Zhang Dawei
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences &Peking Union Medical College, Beijing, 100193, China.,Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, 213001, China
| | - He Hongqiu
- Chongqing Center for Biomedicines and Medical Equipment, Chongqing Academy of Science and Technology, Chongqing, 401123, China
| | - Liu Mengmeng
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences &Peking Union Medical College, Beijing, 100193, China.,Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, 213001, China
| | - Meng Zhixia
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences &Peking Union Medical College, Beijing, 100193, China
| | - Guo Shunxing
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences &Peking Union Medical College, Beijing, 100193, China
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Modell AE, Blosser SL, Arora PS. Systematic Targeting of Protein-Protein Interactions. Trends Pharmacol Sci 2016; 37:702-713. [PMID: 27267699 DOI: 10.1016/j.tips.2016.05.008] [Citation(s) in RCA: 109] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 05/14/2016] [Accepted: 05/16/2016] [Indexed: 12/22/2022]
Abstract
Over the past decade, protein-protein interactions (PPIs) have gone from being neglected as 'undruggable' to being considered attractive targets for the development of therapeutics. Recent advances in computational analysis, fragment-based screening, and molecular design have revealed promising strategies to address the basic molecular recognition challenge: how to target large protein surfaces with specificity. Several systematic and complementary workflows have been developed to yield successful inhibitors of PPIs. Here we review the major contemporary approaches utilized for the discovery of inhibitors and focus on a structure-based workflow, from the selection of a biological target to design.
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Affiliation(s)
- Ashley E Modell
- Department of Chemistry, New York University, New York, NY 10003, USA
| | - Sarah L Blosser
- Department of Chemistry, New York University, New York, NY 10003, USA
| | - Paramjit S Arora
- Department of Chemistry, New York University, New York, NY 10003, USA
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Wichapong K, Alard JE, Ortega-Gomez A, Weber C, Hackeng TM, Soehnlein O, Nicolaes GAF. Structure-Based Design of Peptidic Inhibitors of the Interaction between CC Chemokine Ligand 5 (CCL5) and Human Neutrophil Peptides 1 (HNP1). J Med Chem 2016; 59:4289-301. [PMID: 26871718 DOI: 10.1021/acs.jmedchem.5b01952] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Protein-protein interactions (PPIs) are receiving increasing interest, much sparked by the realization that they represent druggable targets. Recently, we successfully developed a peptidic inhibitor, RRYGTSKYQ ("SKY" peptide), that shows high potential in vitro and in vivo to interrupt a PPI between the platelet-borne chemokine CCL5 and the neutrophil-derived granule protein HNP1. This PPI plays a vital role in monocyte adhesion, representing a key mechanism in acute and chronic inflammatory diseases. Here, we present extensive and detailed computational methods applied to develop the SKY peptide. We combined experimentally determined binding affinities (KD) of several orthologs of CCL5 with HNP1 with in silico studies to identify the most likely heterodimeric CCL5-HNP1 complex which was subsequently used as a starting structure to rationally design peptidic inhibitors. Our method represents a fast and simple approach that can be widely applied to determine other protein-protein complexes and moreover to design inhibitors or stabilizers of protein-protein interaction.
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Affiliation(s)
- Kanin Wichapong
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , 6200 MD Maastricht, The Netherlands
| | - Jean-Eric Alard
- Institute for Cardiovascular Prevention, Ludwig Maximilians University Munich , 80336 Munich, Germany
| | - Almudena Ortega-Gomez
- Institute for Cardiovascular Prevention, Ludwig Maximilians University Munich , 80336 Munich, Germany
| | - Christian Weber
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , 6200 MD Maastricht, The Netherlands.,Institute for Cardiovascular Prevention, Ludwig Maximilians University Munich , 80336 Munich, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, 80336 Munich, Germany
| | - Tilman M Hackeng
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , 6200 MD Maastricht, The Netherlands
| | - Oliver Soehnlein
- Institute for Cardiovascular Prevention, Ludwig Maximilians University Munich , 80336 Munich, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, 80336 Munich, Germany.,Department of Pathology, Academic Medical Center (AMC), University of Amsterdam , 1105 AZ Amsterdam, The Netherlands
| | - Gerry A F Nicolaes
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , 6200 MD Maastricht, The Netherlands
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