Ligand binding affinities from MD simulations
- PMID: 12069620
- DOI: 10.1021/ar010014p
Ligand binding affinities from MD simulations
Abstract
Simplified free energy calculations based on force field energy estimates of ligand-receptor interactions and thermal conformational sampling have emerged as a useful tool in structure-based ligand design. Here we give an overview of the linear interaction energy (LIE) method for calculating ligand binding free energies from molecular dynamics simulations. A notable feature is that the binding energetics can be predicted by considering only the intermolecular interactions of the ligand in the associated and dissociated states. The approximations behind this approach are examined, and different parametrizations of the model are discussed. LIE-type methods appear particularly promising for computational "lead optimization". Recent applications to protein-protein interactions and ion channel blocking are also discussed.
Similar articles
-
The linear interaction energy method for predicting ligand binding free energies.Comb Chem High Throughput Screen. 2001 Dec;4(8):613-26. doi: 10.2174/1386207013330661. Comb Chem High Throughput Screen. 2001. PMID: 11812258 Review.
-
Protein-Ligand Binding Free Energy Calculations with FEP.Methods Mol Biol. 2019;2022:201-232. doi: 10.1007/978-1-4939-9608-7_9. Methods Mol Biol. 2019. PMID: 31396905
-
Prediction of ligand binding affinity and orientation of xenoestrogens to the estrogen receptor by molecular dynamics simulations and the linear interaction energy method.J Med Chem. 2004 Feb 12;47(4):1018-30. doi: 10.1021/jm0309607. J Med Chem. 2004. PMID: 14761204
-
Towards predictive ligand design with free-energy based computational methods?Curr Med Chem. 2006;13(29):3583-608. doi: 10.2174/092986706779026165. Curr Med Chem. 2006. PMID: 17168725
-
Recent advances in protein-ligand interactions: molecular dynamics simulations and binding free energy.Curr Comput Aided Drug Des. 2013 Dec;9(4):518-31. doi: 10.2174/15734099113096660036. Curr Comput Aided Drug Des. 2013. PMID: 24138393 Review.
Cited by
-
Characterizing (un)binding mechanism of USP7 inhibitors to unravel the cause of enhanced binding potencies at allosteric checkpoint.Protein Sci. 2022 Sep;31(9):e4398. doi: 10.1002/pro.4398. Protein Sci. 2022. PMID: 36629250 Free PMC article.
-
Probing the effect of point mutations at protein-protein interfaces with free energy calculations.Biophys J. 2006 Jan 15;90(2):433-42. doi: 10.1529/biophysj.105.073239. Epub 2005 Nov 4. Biophys J. 2006. PMID: 16272444 Free PMC article.
-
Structural refinement of the hERG1 pore and voltage-sensing domains with ROSETTA-membrane and molecular dynamics simulations.Proteins. 2010 Nov 1;78(14):2922-34. doi: 10.1002/prot.22815. Proteins. 2010. PMID: 20740484 Free PMC article.
-
Molecular dynamics simulation and linear interaction energy study of D-Glu-based inhibitors of the MurD ligase.J Comput Aided Mol Des. 2013 Aug;27(8):723-38. doi: 10.1007/s10822-013-9673-3. Epub 2013 Aug 30. J Comput Aided Mol Des. 2013. PMID: 23990043
-
Molecular dynamics simulations reveal that Tyr-317 phosphorylation reduces Shc binding affinity for phosphotyrosyl residues of epidermal growth factor receptor.Biophys J. 2009 Mar 18;96(6):2278-88. doi: 10.1016/j.bpj.2008.11.018. Biophys J. 2009. PMID: 19289054 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources