1
|
Suades A, Qureshi A, McComas SE, Coinçon M, Rudling A, Chatzikyriakidou Y, Landreh M, Carlsson J, Drew D. Establishing mammalian GLUT kinetics and lipid composition influences in a reconstituted-liposome system. Nat Commun 2023; 14:4070. [PMID: 37429918 DOI: 10.1038/s41467-023-39711-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 06/26/2023] [Indexed: 07/12/2023] Open
Abstract
Glucose transporters (GLUTs) are essential for organism-wide glucose homeostasis in mammals, and their dysfunction is associated with numerous diseases, such as diabetes and cancer. Despite structural advances, transport assays using purified GLUTs have proven to be difficult to implement, hampering deeper mechanistic insights. Here, we have optimized a transport assay in liposomes for the fructose-specific isoform GLUT5. By combining lipidomic analysis with native MS and thermal-shift assays, we replicate the GLUT5 transport activities seen in crude lipids using a small number of synthetic lipids. We conclude that GLUT5 is only active under a specific range of membrane fluidity, and that human GLUT1-4 prefers a similar lipid composition to GLUT5. Although GLUT3 is designated as the high-affinity glucose transporter, in vitro D-glucose kinetics demonstrates that GLUT1 and GLUT3 actually have a similar KM, but GLUT3 has a higher turnover. Interestingly, GLUT4 has a high KM for D-glucose and yet a very slow turnover, which may have evolved to ensure uptake regulation by insulin-dependent trafficking. Overall, we outline a much-needed transport assay for measuring GLUT kinetics and our analysis implies that high-levels of free fatty acid in membranes, as found in those suffering from metabolic disorders, could directly impair glucose uptake.
Collapse
Affiliation(s)
- Albert Suades
- Department of Biochemistry and Biophysics, Stockholm University, Svante Arrhenius v. 16c, SE-106 91, Stockholm, Sweden
| | - Aziz Qureshi
- Department of Biochemistry and Biophysics, Stockholm University, Svante Arrhenius v. 16c, SE-106 91, Stockholm, Sweden
| | - Sarah E McComas
- Department of Biochemistry and Biophysics, Stockholm University, Svante Arrhenius v. 16c, SE-106 91, Stockholm, Sweden
| | - Mathieu Coinçon
- Department of Biochemistry and Biophysics, Stockholm University, Svante Arrhenius v. 16c, SE-106 91, Stockholm, Sweden
| | - Axel Rudling
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-751 24, Uppsala, Sweden
| | - Yurie Chatzikyriakidou
- Department of Biochemistry and Biophysics, Stockholm University, Svante Arrhenius v. 16c, SE-106 91, Stockholm, Sweden
| | - Michael Landreh
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solnavägen 9, SE-171 65, Solna, Sweden
| | - Jens Carlsson
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-751 24, Uppsala, Sweden
| | - David Drew
- Department of Biochemistry and Biophysics, Stockholm University, Svante Arrhenius v. 16c, SE-106 91, Stockholm, Sweden.
| |
Collapse
|
2
|
Kampen S, Rodríguez D, Jørgensen M, Kruszyk-Kujawa M, Huang X, Collins M, Boyle N, Maurel D, Rudling A, Lebon G, Carlsson J. Structure-Based Discovery of Negative Allosteric Modulators of the Metabotropic Glutamate Receptor 5. ACS Chem Biol 2022; 17:2744-2752. [PMID: 36149353 PMCID: PMC9594040 DOI: 10.1021/acschembio.2c00234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Recently determined structures of class C G protein-coupled receptors (GPCRs) revealed the location of allosteric binding sites and opened new opportunities for the discovery of novel modulators. In this work, molecular docking screens for allosteric modulators targeting the metabotropic glutamate receptor 5 (mGlu5) were performed. The mGlu5 receptor is activated by the main excitatory neurotransmitter of the nervous central system, L-glutamate, and mGlu5 receptor activity can be allosterically modulated by negative or positive allosteric modulators. The mGlu5 receptor is a promising target for the treatment of psychiatric and neurodegenerative diseases, and several allosteric modulators of this GPCR have been evaluated in clinical trials. Chemical libraries containing fragment- (1.6 million molecules) and lead-like (4.6 million molecules) compounds were docked to an allosteric binding site of mGlu5 identified in X-ray crystal structures. Among the top-ranked compounds, 59 fragments and 59 lead-like compounds were selected for experimental evaluation. Of these, four fragment- and seven lead-like compounds were confirmed to bind to the allosteric site with affinities ranging from 0.43 to 8.6 μM, corresponding to a hit rate of 9%. The four compounds with the highest affinities were demonstrated to be negative allosteric modulators of mGlu5 signaling in functional assays. The results demonstrate that virtual screens of fragment- and lead-like chemical libraries have complementary advantages and illustrate how access to high-resolution structures of GPCRs in complex with allosteric modulators can accelerate lead discovery.
Collapse
Affiliation(s)
- Stefanie Kampen
- Science
for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, SE-751 24 Uppsala, Sweden
| | - David Rodríguez
- Science
for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, SE-171 21 Solna, Sweden,H.
Lundbeck A/S, Ottiliavej
9, DK-2500 Valby, Denmark
| | | | | | - Xinyan Huang
- Lundbeck
Research USA, 215 College Road, Paramus, New Jersey 07652 - 1431, United States
| | - Michael Collins
- Lundbeck
Research USA, 215 College Road, Paramus, New Jersey 07652 - 1431, United States
| | - Noel Boyle
- Lundbeck
Research USA, 215 College Road, Paramus, New Jersey 07652 - 1431, United States
| | - Damien Maurel
- IGF,
Université de Montpellier, CNRS, INSERM, 34094 Montpellier, France
| | - Axel Rudling
- Science
for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, SE-171 21 Solna, Sweden
| | - Guillaume Lebon
- IGF,
Université de Montpellier, CNRS, INSERM, 34094 Montpellier, France
| | - Jens Carlsson
- Science
for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, SE-751 24 Uppsala, Sweden,
| |
Collapse
|
3
|
Ballante F, Rudling A, Zeifman A, Luttens A, Vo DD, Irwin JJ, Kihlberg J, Brea J, Loza MI, Carlsson J. Docking Finds GPCR Ligands in Dark Chemical Matter. J Med Chem 2019; 63:613-620. [DOI: 10.1021/acs.jmedchem.9b01560] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Flavio Ballante
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-751 24 Uppsala, Sweden
| | - Axel Rudling
- Department of Biochemistry and Biophysics, Stockholm University, SE-106 91 Stockholm, Sweden
| | - Alexey Zeifman
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-751 24 Uppsala, Sweden
- Department of Biochemistry and Biophysics, Stockholm University, SE-106 91 Stockholm, Sweden
| | - Andreas Luttens
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-751 24 Uppsala, Sweden
| | - Duy Duc Vo
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-751 24 Uppsala, Sweden
| | - John J. Irwin
- Department of Pharmaceutical Chemistry, University of California, San Francisco, Byers Hall, 1700 4th Street, San Francisco, California 94158-2330, United States
| | - Jan Kihlberg
- Department of Chemistry-BMC, Uppsala University, Box 576, SE-751 23 Uppsala, Sweden
| | - Jose Brea
- Innopharma Screening Platform-BioFarma Research Group, Centre for Research in Molecular Medicine and Chronic Diseases, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Maria Isabel Loza
- Innopharma Screening Platform-BioFarma Research Group, Centre for Research in Molecular Medicine and Chronic Diseases, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Jens Carlsson
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-751 24 Uppsala, Sweden
| |
Collapse
|
4
|
Rudling A, Orro A, Carlsson J. Prediction of Ordered Water Molecules in Protein Binding Sites from Molecular Dynamics Simulations: The Impact of Ligand Binding on Hydration Networks. J Chem Inf Model 2018; 58:350-361. [PMID: 29308882 PMCID: PMC6716772 DOI: 10.1021/acs.jcim.7b00520] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
![]()
Water
plays a major role in ligand binding and is attracting increasing
attention in structure-based drug design. Water molecules can make
large contributions to binding affinity by bridging protein–ligand
interactions or by being displaced upon complex formation, but these
phenomena are challenging to model at the molecular level. Herein,
networks of ordered water molecules in protein binding sites were
analyzed by clustering of molecular dynamics (MD) simulation trajectories.
Locations of ordered waters (hydration sites) were first identified
from simulations of high resolution crystal structures of 13 protein–ligand
complexes. The MD-derived hydration sites reproduced 73% of the binding
site water molecules observed in the crystal structures. If the simulations
were repeated without the cocrystallized ligands, a majority (58%)
of the crystal waters in the binding sites were still predicted. In
addition, comparison of the hydration sites obtained from simulations
carried out in the absence of ligands to those identified for the
complexes revealed that the networks of ordered water molecules were
preserved to a large extent, suggesting that the locations of waters
in a protein–ligand interface are mainly dictated by the protein.
Analysis of >1000 crystal structures showed that hydration sites
bridged
protein–ligand interactions in complexes with different ligands,
and those with high MD-derived occupancies were more likely to correspond
to experimentally observed ordered water molecules. The results demonstrate
that ordered water molecules relevant for modeling of protein–ligand
complexes can be identified from MD simulations. Our findings could
contribute to development of improved methods for structure-based
virtual screening and lead optimization.
Collapse
Affiliation(s)
- Axel Rudling
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University , SE-106 91 Stockholm, Sweden
| | - Adolfo Orro
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University , SE-106 91 Stockholm, Sweden
| | - Jens Carlsson
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC , Box 596, SE-751 24 Uppsala, Sweden
| |
Collapse
|
5
|
Rudling A, Gustafsson R, Almlöf I, Homan E, Scobie M, Warpman Berglund U, Helleday T, Stenmark P, Carlsson J. Fragment-Based Discovery and Optimization of Enzyme Inhibitors by Docking of Commercial Chemical Space. J Med Chem 2017; 60:8160-8169. [PMID: 28929756 DOI: 10.1021/acs.jmedchem.7b01006] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Fragment-based lead discovery has emerged as a leading drug development strategy for novel therapeutic targets. Although fragment-based drug discovery benefits immensely from access to atomic-resolution information, structure-based virtual screening has rarely been used to drive fragment discovery and optimization. Here, molecular docking of 0.3 million fragments to a crystal structure of cancer target MTH1 was performed. Twenty-two predicted fragment ligands, for which analogs could be acquired commercially, were experimentally evaluated. Five fragments inhibited MTH1 with IC50 values ranging from 6 to 79 μM. Structure-based optimization guided by predicted binding modes and analogs from commercial chemical libraries yielded nanomolar inhibitors. Subsequently solved crystal structures confirmed binding modes predicted by docking for three scaffolds. Structure-guided exploration of commercial chemical space using molecular docking gives access to fragment libraries that are several orders of magnitude larger than those screened experimentally and can enable efficient optimization of hits to potent leads.
Collapse
Affiliation(s)
- Axel Rudling
- Department of Biochemistry and Biophysics, Stockholm University , SE-106 91 Stockholm, Sweden
| | - Robert Gustafsson
- Department of Biochemistry and Biophysics, Stockholm University , SE-106 91 Stockholm, Sweden
| | - Ingrid Almlöf
- Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet , Box 1031, SE-171 21 Solna, Sweden
| | - Evert Homan
- Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet , Box 1031, SE-171 21 Solna, Sweden
| | - Martin Scobie
- Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet , Box 1031, SE-171 21 Solna, Sweden
| | - Ulrika Warpman Berglund
- Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet , Box 1031, SE-171 21 Solna, Sweden
| | - Thomas Helleday
- Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet , Box 1031, SE-171 21 Solna, Sweden
| | - Pål Stenmark
- Department of Biochemistry and Biophysics, Stockholm University , SE-106 91 Stockholm, Sweden
| | - Jens Carlsson
- Science for Life Laboratory, Department of Cell and Molecular Biology, BMC, Uppsala University , Box 596, SE-751 24 Uppsala, Sweden
| |
Collapse
|
6
|
Matricon P, Ranganathan A, Warnick E, Gao ZG, Rudling A, Lambertucci C, Marucci G, Ezzati A, Jaiteh M, Dal Ben D, Jacobson KA, Carlsson J. Fragment optimization for GPCRs by molecular dynamics free energy calculations: Probing druggable subpockets of the A 2A adenosine receptor binding site. Sci Rep 2017; 7:6398. [PMID: 28743961 PMCID: PMC5526870 DOI: 10.1038/s41598-017-04905-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 05/23/2017] [Indexed: 12/19/2022] Open
Abstract
Fragment-based lead discovery is becoming an increasingly popular strategy for drug discovery. Fragment screening identifies weakly binding compounds that require optimization to become high-affinity leads. As design of leads from fragments is challenging, reliable computational methods to guide optimization would be invaluable. We evaluated using molecular dynamics simulations and the free energy perturbation method (MD/FEP) in fragment optimization for the A2A adenosine receptor, a pharmaceutically relevant G protein-coupled receptor. Optimization of fragments exploring two binding site subpockets was probed by calculating relative binding affinities for 23 adenine derivatives, resulting in strong agreement with experimental data (R2 = 0.78). The predictive power of MD/FEP was significantly better than that of an empirical scoring function. We also demonstrated the potential of the MD/FEP to assess multiple binding modes and to tailor the thermodynamic profile of ligands during optimization. Finally, MD/FEP was applied prospectively to optimize three nonpurine fragments, and predictions for 12 compounds were evaluated experimentally. The direction of the change in binding affinity was correctly predicted in a majority of the cases, and agreement with experiment could be improved with rigorous parameter derivation. The results suggest that MD/FEP will become a powerful tool in structure-driven optimization of fragments to lead candidates.
Collapse
Affiliation(s)
- Pierre Matricon
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-75124, Uppsala, Sweden
| | - Anirudh Ranganathan
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, SE-10691, Stockholm, Sweden
| | - Eugene Warnick
- Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, 20892, United States
| | - Zhan-Guo Gao
- Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, 20892, United States
| | - Axel Rudling
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, SE-10691, Stockholm, Sweden
| | - Catia Lambertucci
- Scuola di Scienze del Farmaco e dei Prodotti della Salute, Università degli Studi di Camerino, Via S. Agostino 1, 62032, Camerino (MC), Italy
| | - Gabriella Marucci
- Scuola di Scienze del Farmaco e dei Prodotti della Salute, Università degli Studi di Camerino, Via S. Agostino 1, 62032, Camerino (MC), Italy
| | - Aitakin Ezzati
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, SE-10691, Stockholm, Sweden
| | - Mariama Jaiteh
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-75124, Uppsala, Sweden
| | - Diego Dal Ben
- Scuola di Scienze del Farmaco e dei Prodotti della Salute, Università degli Studi di Camerino, Via S. Agostino 1, 62032, Camerino (MC), Italy
| | - Kenneth A Jacobson
- Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, 20892, United States
| | - Jens Carlsson
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC, Box 596, SE-75124, Uppsala, Sweden.
| |
Collapse
|
7
|
Ranganathan A, Heine P, Rudling A, Plückthun A, Kummer L, Carlsson J. Ligand Discovery for a Peptide-Binding GPCR by Structure-Based Screening of Fragment- and Lead-Like Chemical Libraries. ACS Chem Biol 2017; 12:735-745. [PMID: 28032980 DOI: 10.1021/acschembio.6b00646] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Peptide-recognizing G protein-coupled receptors (GPCRs) are promising therapeutic targets but often resist drug discovery efforts. Determination of crystal structures for peptide-binding GPCRs has provided opportunities to explore structure-based methods in lead development. Molecular docking screens of two chemical libraries, containing either fragment- or lead-like compounds, against a neurotensin receptor 1 crystal structure allowed for a comparison between different drug development strategies for peptide-binding GPCRs. A total of 2.3 million molecules were screened computationally, and 25 fragments and 27 leads that were top-ranked in each library were selected for experimental evaluation. Of these, eight fragments and five leads were confirmed as ligands by surface plasmon resonance. The hit rate for the fragment screen (32%) was thus higher than for the lead-like library (19%), but the affinities of the fragments were ∼100-fold lower. Both screens returned unique scaffolds and demonstrated that a crystal structure of a stabilized peptide-binding GPCR can guide the discovery of small-molecule agonists. The complementary advantages of exploring fragment- and lead-like chemical space suggest that these strategies should be applied synergistically in structure-based screens against challenging GPCR targets.
Collapse
Affiliation(s)
- Anirudh Ranganathan
- Science
for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, SE-106 91 Stockholm, Sweden
| | - Philipp Heine
- Department
of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Axel Rudling
- Science
for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, SE-106 91 Stockholm, Sweden
| | - Andreas Plückthun
- Department
of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Lutz Kummer
- Department
of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
- G7 Therapeutics AG, Grabenstrasse
11a, 8952 Schlieren, Switzerland
| | - Jens Carlsson
- Science
for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC,
Box 596, SE-751 24 Uppsala, Sweden
| |
Collapse
|