Literature DB >> 33307679

Binding Thermodynamics and Interaction Patterns of Inhibitor-Major Urinary Protein-I Binding from Extensive Free-Energy Calculations: Benchmarking AMBER Force Fields.

Zhe Huai1, Zhaoxi Shen2, Zhaoxi Sun1.   

Abstract

Mouse major urinary protein (MUP) plays a key role in the pheromone communication system. The one-end-closed β-barrel of MUP-I forms a small, deep, and hydrophobic central cavity, which could accommodate structurally diverse ligands. Previous computational studies employed old protein force fields and short simulation times to determine the binding thermodynamics or investigated only a small number of structurally similar ligands, which resulted in sampled regions far from the experimental structure, nonconverged sampling outcomes, and limited understanding of the possible interaction patterns that the cavity could produce. In this work, extensive end-point and alchemical free-energy calculations with advanced protein force fields were performed to determine the binding thermodynamics of a series of MUP-inhibitor systems and investigate the inter- and intramolecular interaction patterns. Three series of inhibitors with a total of 14 ligands were simulated. We independently simulated the MUP-inhibitor complexes under two advanced AMBER force fields. Our benchmark test showed that the advanced AMBER force fields including AMBER19SB and AMBER14SB provided better descriptions of the system, and the backbone root-mean-square deviation (RMSD) was significantly lowered compared with previous computational studies with old protein force fields. Surprisingly, although the latest AMBER force field AMBER19SB provided better descriptions of various observables, it neither improved the binding thermodynamics nor lowered the backbone RMSD compared with the previously proposed and widely used AMBER14SB. The older but widely used AMBER14SB actually achieved better performance in the prediction of binding affinities from the alchemical and end-point free-energy calculations. We further analyzed the protein-ligand interaction networks to identify important residues stabilizing the bound structure. Six residues including PHE38, LEU40, PHE90, ALA103, LEU105, and TYR120 were found to contribute the most significant part of protein-ligand interactions, and 10 residues were found to provide favorable interactions stabilizing the bound state. The two AMBER force fields gave extremely similar interaction networks, and the secondary structures also showed similar behavior. Thus, the intra- and intermolecular interaction networks described with the two AMBER force fields are similar. Therefore, AMBER14SB could still be the default option in free-energy calculations to achieve highly accurate binding thermodynamics and interaction patterns.

Entities:  

Year:  2020        PMID: 33307679     DOI: 10.1021/acs.jcim.0c01217

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  4 in total

1.  Comprehensive evaluation of end-point free energy techniques in carboxylated-pillar[6]arene host-guest binding: I. Standard procedure.

Authors:  Xiao Liu; Lei Zheng; Chu Qin; John Z H Zhang; Zhaoxi Sun
Journal:  J Comput Aided Mol Des       Date:  2022-09-22       Impact factor: 4.179

2.  Binding thermodynamics and interaction patterns of human purine nucleoside phosphorylase-inhibitor complexes from extensive free energy calculations.

Authors:  Zhe Huai; Huaiyu Yang; Zhaoxi Sun
Journal:  J Comput Aided Mol Des       Date:  2021-03-24       Impact factor: 3.686

3.  Assessing the effect of forcefield parameter sets on the accuracy of relative binding free energy calculations.

Authors:  Shan Sun; David J Huggins
Journal:  Front Mol Biosci       Date:  2022-09-12

Review 4.  "Dividing and Conquering" and "Caching" in Molecular Modeling.

Authors:  Xiaoyong Cao; Pu Tian
Journal:  Int J Mol Sci       Date:  2021-05-10       Impact factor: 5.923

  4 in total

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