Literature DB >> 31436990

QresFEP: An Automated Protocol for Free Energy Calculations of Protein Mutations in Q.

Willem Jespers1, Geir V Isaksen1,2, Tor A H Andberg2, Silvana Vasile1, Amber van Veen1, Johan Åqvist1, Bjørn Olav Brandsdal2, Hugo Gutiérrez-de-Terán1.   

Abstract

Predicting the effect of single-point mutations on protein stability or protein-ligand binding is a major challenge in computational biology. Free energy calculations constitute the most rigorous approach to this problem, though the estimation of converged values for amino acid mutations remains challenging. To overcome this limitation, we developed tailored protocols to calculate free energy shifts associated with single-point mutations. We herein describe the QresFEP protocol, which includes an extension of our recent protocols to cover all amino acids mutations, based on the latest versions of the OPLS-AA force field. QresFEP is implemented in an application programming interface framework and the graphic interface QGui, for the molecular dynamics software Q. The complete protocol is benchmarked in several model systems, optimizing a number of sampling parameters and the implementation of Zwanzig's exponential formula and Bennet's acceptance ratio methods. QresFEP shows an excellent performance on estimating the hydration free energies of amino acid side-chain mimics, including their charged analogues. We also examined its performance on a protein-ligand binding problem of pharmaceutical relevance, the antagonism of neuropeptide Y1 G protein-coupled receptor. Here, the calculations show very good agreement with the experimental effect of 16 mutations on the binding of antagonists BIBP3226, in line with our recent applications in this field. Finally, the characterization of 43 mutations of T4-lysozyme reveals the capacity of our protocol to assess variations of the thermal stability of proteins, achieving a similar performance to alternative free energy perturbation (FEP) approaches. In summary, QresFEP is a robust, versatile, and user-friendly computational FEP protocol to examine biochemical effects of single-point mutations with high accuracy.

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Year:  2019        PMID: 31436990     DOI: 10.1021/acs.jctc.9b00538

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  10 in total

Review 1.  Free Energy Calculations for Protein-Ligand Binding Prediction.

Authors:  Willem Jespers; Johan Åqvist; Hugo Gutiérrez-de-Terán
Journal:  Methods Mol Biol       Date:  2021

2.  Improving the Accuracy of Protein Thermostability Predictions for Single Point Mutations.

Authors:  Jianxin Duan; Dmitry Lupyan; Lingle Wang
Journal:  Biophys J       Date:  2020-05-29       Impact factor: 4.033

3.  RestraintMaker: a graph-based approach to select distance restraints in free-energy calculations with dual topology.

Authors:  Benjamin Ries; Salomé Rieder; Clemens Rhiner; Philippe H Hünenberger; Sereina Riniker
Journal:  J Comput Aided Mol Des       Date:  2022-03-22       Impact factor: 4.179

4.  Evolution of Angiotensin Peptides and Peptidomimetics as Angiotensin II Receptor Type 2 (AT2) Receptor Agonists.

Authors:  Silvana Vasile; Anders Hallberg; Jessica Sallander; Mathias Hallberg; Johan Åqvist; Hugo Gutiérrez-de-Terán
Journal:  Biomolecules       Date:  2020-04-23

5.  Structural Basis of Inhibition of Human Insulin-Regulated Aminopeptidase (IRAP) by Benzopyran-Based Inhibitors.

Authors:  Sudarsana Reddy Vanga; Johan Åqvist; Anders Hallberg; Hugo Gutiérrez-de-Terán
Journal:  Front Mol Biosci       Date:  2021-04-01

6.  Deciphering conformational selectivity in the A2A adenosine G protein-coupled receptor by free energy simulations.

Authors:  Willem Jespers; Laura H Heitman; Adriaan P IJzerman; Eddy Sotelo; Gerard J P van Westen; Johan Åqvist; Hugo Gutiérrez-de-Terán
Journal:  PLoS Comput Biol       Date:  2021-11-24       Impact factor: 4.475

7.  Large-scale application of free energy perturbation calculations for antibody design.

Authors:  Fangqiang Zhu; Feliza A Bourguet; William F D Bennett; Edmond Y Lau; Kathryn T Arrildt; Brent W Segelke; Adam T Zemla; Thomas A Desautels; Daniel M Faissol
Journal:  Sci Rep       Date:  2022-07-21       Impact factor: 4.996

8.  Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs.

Authors:  Neeladri Sen; Ivan Anishchenko; Nicola Bordin; Ian Sillitoe; Sameer Velankar; David Baker; Christine Orengo
Journal:  Brief Bioinform       Date:  2022-07-18       Impact factor: 13.994

9.  Predicting the mutation effects of protein-ligand interactions via end-point binding free energy calculations: strategies and analyses.

Authors:  Yang Yu; Zhe Wang; Lingling Wang; Sheng Tian; Tingjun Hou; Huiyong Sun
Journal:  J Cheminform       Date:  2022-08-20       Impact factor: 8.489

10.  Identification of V6.51L as a selectivity hotspot in stereoselective A2B adenosine receptor antagonist recognition.

Authors:  Xuesong Wang; Willem Jespers; Rubén Prieto-Díaz; Maria Majellaro; Adriaan P IJzerman; Gerard J P van Westen; Eddy Sotelo; Laura H Heitman; Hugo Gutiérrez-de-Terán
Journal:  Sci Rep       Date:  2021-07-08       Impact factor: 4.379

  10 in total

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