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Kotelnikov S, Ashizawa R, Popov KI, Khan O, Ignatov M, Li SX, Hassan M, Coutsias EA, Poda G, Padhorny D, Tropsha A, Vajda S, Kozakov D. Accurate ligand-protein docking in CASP15 using the ClusPro LigTBM server. Proteins 2023; 91:1822-1828. [PMID: 37697630 PMCID: PMC10947245 DOI: 10.1002/prot.26587] [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: 05/22/2023] [Revised: 07/31/2023] [Accepted: 08/09/2023] [Indexed: 09/13/2023]
Abstract
In the ligand prediction category of CASP15, the challenge was to predict the positions and conformations of small molecules binding to proteins that were provided as amino acid sequences or as models generated by the AlphaFold2 program. For most targets, we used our template-based ligand docking program ClusPro ligTBM, also implemented as a public server available at https://ligtbm.cluspro.org/. Since many targets had multiple chains and a number of ligands, several templates, and some manual interventions were required. In a few cases, no templates were found, and we had to use direct docking using the Glide program. Nevertheless, ligTBM was shown to be a very useful tool, and by any ranking criteria, our group was ranked among the top five best-performing teams. In fact, all the best groups used template-based docking methods. Thus, it appears that the AlphaFold2-generated models, despite the high accuracy of the predicted backbone, have local differences from the x-ray structure that make the use of direct docking methods more challenging. The results of CASP15 confirm that this limitation can be frequently overcome by homology-based docking.
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Affiliation(s)
- Sergei Kotelnikov
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA
| | - Ryota Ashizawa
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA
| | - Konstantin I. Popov
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Omeir Khan
- Department of Chemistry, Boston University, Boston, MA, USA
| | - Mikhail Ignatov
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA
| | - Stan Xiaogang Li
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA
| | - Mosavverul Hassan
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
| | - Evangelos A. Coutsias
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA
| | - Gennady Poda
- Drug Discovery Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Dzmitry Padhorny
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA
| | - Alexander Tropsha
- Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sandor Vajda
- Department of Chemistry, Boston University, Boston, MA, USA
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Dima Kozakov
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA
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3
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Ignatov M, Jindal A, Kotelnikov S, Beglov D, Posternak G, Tang X, Maisonneuve P, Poda G, Batey RA, Sicheri F, Whitty A, Tonge PJ, Vajda S, Kozakov D. High Accuracy Prediction of PROTAC Complex Structures. J Am Chem Soc 2023; 145:7123-7135. [PMID: 36961978 PMCID: PMC10240388 DOI: 10.1021/jacs.2c09387] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2023]
Abstract
The design of PROteolysis-TArgeting Chimeras (PROTACs) requires bringing an E3 ligase into proximity with a target protein to modulate the concentration of the latter through its ubiquitination and degradation. Here, we present a method for generating high-accuracy structural models of E3 ligase-PROTAC-target protein ternary complexes. The method is dependent on two computational innovations: adding a "silent" convolution term to an efficient protein-protein docking program to eliminate protein poses that do not have acceptable linker conformations and clustering models of multiple PROTACs that use the same E3 ligase and target the same protein. Results show that the largest consensus clusters always have high predictive accuracy and that the ensemble of models can be used to predict the dissociation rate and cooperativity of the ternary complex that relate to the degrading activity of the PROTAC. The method is demonstrated by applications to known PROTAC structures and a blind test involving PROTACs against BRAF mutant V600E. The results confirm that PROTACs function by stabilizing a favorable interaction between the E3 ligase and the target protein but do not necessarily exploit the most energetically favorable geometry for interaction between the proteins.
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Affiliation(s)
- Mikhail Ignatov
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, USA
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, USA
| | - Akhil Jindal
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, USA
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, USA
| | - Sergei Kotelnikov
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, USA
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, USA
| | - Dmitri Beglov
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215 USA
- Acpharis Inc., Holliston, Massachusetts 01746, USA
| | - Ganna Posternak
- Center for Molecular, Cell and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario L4K-M9W, Canada
- Department of Chemistry, University of Toronto, Toronto, Ontario L4K-M9W, Canada
| | - Xiaojing Tang
- Center for Molecular, Cell and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario L4K-M9W, Canada
| | - Pierre Maisonneuve
- Center for Molecular, Cell and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario L4K-M9W, Canada
| | - Gennady Poda
- Drug Discovery Program, Ontario Institute for Cancer Research, Toronto, Ontario L4K-M9W, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario L4K-M9W, Canada
| | - Robert A. Batey
- Department of Chemistry, University of Toronto, Toronto, Ontario L4K-M9W, Canada
| | - Frank Sicheri
- Center for Molecular, Cell and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario L4K-M9W, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario L4K-M9W, Canada
- Department of Biochemistry, University of Toronto, Toronto, Ontario L4K-M9W, Canada
| | - Adrian Whitty
- Department of Chemistry, Boston University, Boston, Massachusetts 02215, USA
| | - Peter J. Tonge
- Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, USA
| | - Sandor Vajda
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215 USA
- Department of Chemistry, Boston University, Boston, Massachusetts 02215, USA
| | - Dima Kozakov
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, USA
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, USA
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6
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Hekman RM, Hume AJ, Goel RK, Abo KM, Huang J, Blum BC, Werder RB, Suder EL, Paul I, Phanse S, Youssef A, Alysandratos KD, Padhorny D, Ojha S, Mora-Martin A, Kretov D, Ash PEA, Verma M, Zhao J, Patten JJ, Villacorta-Martin C, Bolzan D, Perea-Resa C, Bullitt E, Hinds A, Tilston-Lunel A, Varelas X, Farhangmehr S, Braunschweig U, Kwan JH, McComb M, Basu A, Saeed M, Perissi V, Burks EJ, Layne MD, Connor JH, Davey R, Cheng JX, Wolozin BL, Blencowe BJ, Wuchty S, Lyons SM, Kozakov D, Cifuentes D, Blower M, Kotton DN, Wilson AA, Mühlberger E, Emili A. Actionable Cytopathogenic Host Responses of Human Alveolar Type 2 Cells to SARS-CoV-2. Mol Cell 2020; 80:1104-1122.e9. [PMID: 33259812 PMCID: PMC7674017 DOI: 10.1016/j.molcel.2020.11.028] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 10/16/2020] [Accepted: 11/11/2020] [Indexed: 12/11/2022]
Abstract
Human transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causative pathogen of the COVID-19 pandemic, exerts a massive health and socioeconomic crisis. The virus infects alveolar epithelial type 2 cells (AT2s), leading to lung injury and impaired gas exchange, but the mechanisms driving infection and pathology are unclear. We performed a quantitative phosphoproteomic survey of induced pluripotent stem cell-derived AT2s (iAT2s) infected with SARS-CoV-2 at air-liquid interface (ALI). Time course analysis revealed rapid remodeling of diverse host systems, including signaling, RNA processing, translation, metabolism, nuclear integrity, protein trafficking, and cytoskeletal-microtubule organization, leading to cell cycle arrest, genotoxic stress, and innate immunity. Comparison to analogous data from transformed cell lines revealed respiratory-specific processes hijacked by SARS-CoV-2, highlighting potential novel therapeutic avenues that were validated by a high hit rate in a targeted small molecule screen in our iAT2 ALI system.
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Affiliation(s)
- Ryan M Hekman
- Center for Network Systems Biology, Boston University, Boston, MA, USA; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Adam J Hume
- Department of Microbiology, Boston University School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Raghuveera Kumar Goel
- Center for Network Systems Biology, Boston University, Boston, MA, USA; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Kristine M Abo
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA, USA; The Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Jessie Huang
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA, USA; The Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Benjamin C Blum
- Center for Network Systems Biology, Boston University, Boston, MA, USA; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Rhiannon B Werder
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA, USA; The Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Ellen L Suder
- Department of Microbiology, Boston University School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Indranil Paul
- Center for Network Systems Biology, Boston University, Boston, MA, USA; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Sadhna Phanse
- Center for Network Systems Biology, Boston University, Boston, MA, USA
| | - Ahmed Youssef
- Center for Network Systems Biology, Boston University, Boston, MA, USA; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA; Bioinformatics Program, Boston University, Boston, MA, USA
| | - Konstantinos D Alysandratos
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA, USA; The Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Dzmitry Padhorny
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA
| | - Sandeep Ojha
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | | | - Dmitry Kretov
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Peter E A Ash
- Department of Pharmacology, Boston University School of Medicine, Boston, MA, USA
| | - Mamta Verma
- Department of Pharmacology, Boston University School of Medicine, Boston, MA, USA
| | - Jian Zhao
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA
| | - J J Patten
- Department of Microbiology, Boston University School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Carlos Villacorta-Martin
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA, USA
| | - Dante Bolzan
- Department of Computer Science, University of Miami, Miami, FL, USA
| | - Carlos Perea-Resa
- Department of Molecular Biology, Harvard Medical School, Boston, MA, USA
| | - Esther Bullitt
- Department of Physiology and Biophysics, Boston University, Boston, MA, USA
| | - Anne Hinds
- The Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Andrew Tilston-Lunel
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Xaralabos Varelas
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Shaghayegh Farhangmehr
- Donnelly Centre, University of Toronto, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | | | - Julian H Kwan
- Center for Network Systems Biology, Boston University, Boston, MA, USA; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Mark McComb
- Center for Network Systems Biology, Boston University, Boston, MA, USA; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA; Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, MA, USA
| | - Avik Basu
- Center for Network Systems Biology, Boston University, Boston, MA, USA; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Mohsan Saeed
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Valentina Perissi
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Eric J Burks
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Matthew D Layne
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - John H Connor
- Department of Microbiology, Boston University School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Robert Davey
- Department of Microbiology, Boston University School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Ji-Xin Cheng
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Benjamin L Wolozin
- Department of Pharmacology, Boston University School of Medicine, Boston, MA, USA
| | - Benjamin J Blencowe
- Donnelly Centre, University of Toronto, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Stefan Wuchty
- Department of Computer Science, University of Miami, Miami, FL, USA; Department of Biology, University of Miami, Miami, FL, USA; Miami Institute of Data Science and Computing, Miami, FL, USA
| | - Shawn M Lyons
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Dima Kozakov
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA
| | - Daniel Cifuentes
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Michael Blower
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA; Department of Molecular Biology, Harvard Medical School, Boston, MA, USA
| | - Darrell N Kotton
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA, USA; The Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
| | - Andrew A Wilson
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA, USA; The Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
| | - Elke Mühlberger
- Department of Microbiology, Boston University School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA.
| | - Andrew Emili
- Center for Network Systems Biology, Boston University, Boston, MA, USA; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA; Department of Biology, Boston University, Boston, MA, USA.
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7
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Alekseenko A, Kotelnikov S, Ignatov M, Egbert M, Kholodov Y, Vajda S, Kozakov D. ClusPro LigTBM: Automated Template-based Small Molecule Docking. J Mol Biol 2019; 432:3404-3410. [PMID: 31863748 DOI: 10.1016/j.jmb.2019.12.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 12/03/2019] [Accepted: 12/04/2019] [Indexed: 12/31/2022]
Abstract
The template-based approach has been essential for achieving high-quality models in the recent rounds of blind protein-protein docking competition CAPRI (Critical Assessment of Predicted Interactions). However, few such automated methods exist for protein-small molecule docking. In this paper, we present an algorithm for template-based docking of small molecules. It searches for known complexes with ligands that have partial coverage of the target ligand, performs conformational sampling and template-guided energy refinement to produce a variety of possible poses, and then scores the refined poses. The algorithm is available as the automated ClusPro LigTBM server. It allows the user to specify the target protein as a PDB file and the ligand as a SMILES string. The server then searches for templates and uses them for docking, presenting the user with top-scoring poses and their confidence scores. The method is tested on the Astex Diverse benchmark, as well as on the targets from the last round of the D3R (Drug Design Data Resource) Grand Challenge. The server is publicly available as part of the ClusPro docking server suite at https://ligtbm.cluspro.org/.
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Affiliation(s)
- Andrey Alekseenko
- Department of Applied Mathematics and Statistics, Stony Brook University, 11794 Stony Brook, NY, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, 11794 Stony Brook, NY, USA
| | - Sergei Kotelnikov
- Department of Applied Mathematics and Statistics, Stony Brook University, 11794 Stony Brook, NY, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, 11794 Stony Brook, NY, USA; Innopolis University, 420500, Innopolis, Russia
| | - Mikhail Ignatov
- Department of Applied Mathematics and Statistics, Stony Brook University, 11794 Stony Brook, NY, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, 11794 Stony Brook, NY, USA; Institute for Advanced Computational Sciences, Stony Brook University, 11794, Stony Brook, NY, USA
| | - Megan Egbert
- Department of Biomedical Engineering, Boston University, 02215, Boston, MA, USA
| | | | - Sandor Vajda
- Department of Biomedical Engineering, Boston University, 02215, Boston, MA, USA; Department of Chemistry, Boston University, 02215, Boston, MA, USA
| | - Dima Kozakov
- Department of Applied Mathematics and Statistics, Stony Brook University, 11794 Stony Brook, NY, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, 11794 Stony Brook, NY, USA; Institute for Advanced Computational Sciences, Stony Brook University, 11794, Stony Brook, NY, USA.
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