Interaction Entropy: A New Paradigm for Highly Efficient and Reliable Computation of Protein-Ligand Binding Free Energy
- PMID: 27058988
- DOI: 10.1021/jacs.6b02682
Interaction Entropy: A New Paradigm for Highly Efficient and Reliable Computation of Protein-Ligand Binding Free Energy
Abstract
Efficient and reliable calculation of protein-ligand binding free energy is a grand challenge in computational biology and is of critical importance in drug design and many other molecular recognition problems. The main challenge lies in the calculation of entropic contribution to protein-ligand binding or interaction systems. In this report, we present a new interaction entropy method which is theoretically rigorous, computationally efficient, and numerically reliable for calculating entropic contribution to free energy in protein-ligand binding and other interaction processes. Drastically different from the widely employed but extremely expensive normal mode method for calculating entropy change in protein-ligand binding, the new method calculates the entropic component (interaction entropy or -TΔS) of the binding free energy directly from molecular dynamics simulation without any extra computational cost. Extensive study of over a dozen randomly selected protein-ligand binding systems demonstrated that this interaction entropy method is both computationally efficient and numerically reliable and is vastly superior to the standard normal mode approach. This interaction entropy paradigm introduces a novel and intuitive conceptual understanding of the entropic effect in protein-ligand binding and other general interaction systems as well as a practical method for highly efficient calculation of this effect.
Similar articles
-
Interaction entropy for protein-protein binding.J Chem Phys. 2017 Mar 28;146(12):124124. doi: 10.1063/1.4978893. J Chem Phys. 2017. PMID: 28388125
-
Interaction Entropy for Computational Alanine Scanning.J Chem Inf Model. 2017 May 22;57(5):1112-1122. doi: 10.1021/acs.jcim.6b00734. Epub 2017 Apr 27. J Chem Inf Model. 2017. PMID: 28406301
-
Accurate and Efficient Calculation of Protein-Protein Binding Free Energy-Interaction Entropy with Residue Type-Specific Dielectric Constants.J Chem Inf Model. 2019 Jan 28;59(1):272-281. doi: 10.1021/acs.jcim.8b00248. Epub 2018 Nov 27. J Chem Inf Model. 2019. PMID: 30431271
-
Free energy of ligand binding to protein: evaluation of the contribution of water molecules by computational methods.Curr Med Chem. 2004 Dec;11(23):3093-118. doi: 10.2174/0929867043363929. Curr Med Chem. 2004. PMID: 15579003 Review.
-
Methods for calculating the entropy and free energy and their application to problems involving protein flexibility and ligand binding.Curr Protein Pept Sci. 2009 Jun;10(3):229-43. doi: 10.2174/138920309788452209. Curr Protein Pept Sci. 2009. PMID: 19519453 Free PMC article. Review.
Cited by
-
An Efficient Approach to the Accurate Prediction of Mutational Effects in Antigen Binding to the MHC1.Molecules. 2024 Feb 16;29(4):881. doi: 10.3390/molecules29040881. Molecules. 2024. PMID: 38398632 Free PMC article.
-
Conformational States of the GDP- and GTP-Bound HRAS Affected by A59E and K117R: An Exploration from Gaussian Accelerated Molecular Dynamics.Molecules. 2024 Jan 30;29(3):645. doi: 10.3390/molecules29030645. Molecules. 2024. PMID: 38338389 Free PMC article.
-
Computational Approach to Elucidating Insulin-Protamine Binding Interactions and Dynamics in Insulin NPH Formulations.ACS Omega. 2024 Jan 18;9(4):4857-4869. doi: 10.1021/acsomega.3c08445. eCollection 2024 Jan 30. ACS Omega. 2024. PMID: 38313521 Free PMC article.
-
Binding Free Energy Calculation Based on the Fragment Molecular Orbital Method and Its Application in Designing Novel SHP-2 Allosteric Inhibitors.Int J Mol Sci. 2024 Jan 4;25(1):671. doi: 10.3390/ijms25010671. Int J Mol Sci. 2024. PMID: 38203841 Free PMC article.
-
Potential anti-Pythium insidiosum therapeutics identified through screening of agricultural fungicides.Microbiol Spectr. 2024 Feb 6;12(2):e0162023. doi: 10.1128/spectrum.01620-23. Epub 2024 Jan 5. Microbiol Spectr. 2024. PMID: 38179943 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
