Literature DB >> 32814837

Ligand binding free-energy calculations with funnel metadynamics.

Stefano Raniolo1, Vittorio Limongelli2,3.   

Abstract

The accurate resolution of the binding mechanism of a ligand to its molecular target is fundamental to develop a successful drug design campaign. Free-energy calculations, which provide the energy value of the ligand-protein binding complex, are essential for resolving the binding mode of the ligand. The accuracy of free-energy calculation methods is counteracted by their poor user-friendliness, which hampers their broad application. Here we present the Funnel-Metadynamics Advanced Protocol (FMAP), which is a flexible and user-friendly graphical user interface (GUI)-based protocol to perform funnel metadynamics, a binding free-energy method that employs a funnel-shape restraint potential to reveal the ligand binding mode and accurately calculate the absolute ligand-protein binding free energy. FMAP guides the user through all phases of the free-energy calculation process, from preparation of the input files, to production simulation, to analysis of the results. FMAP delivers the ligand binding mode and the absolute protein-ligand binding free energy as outputs. Alternative binding modes and the role of waters are also elucidated, providing a detailed description of the ligand binding mechanism. The entire protocol on the paradigmatic system benzamidine-trypsin, composed of ~105 k atoms, took ~2.8 d using the Cray XC50 piz Daint cluster at the Swiss National Supercomputing Centre.

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Year:  2020        PMID: 32814837     DOI: 10.1038/s41596-020-0342-4

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  57 in total

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Journal:  Angew Chem Int Ed Engl       Date:  2018-02-02       Impact factor: 15.336

Review 2.  Physics-based methods for studying protein-ligand interactions.

Authors:  Niu Huang; Matthew P Jacobson
Journal:  Curr Opin Drug Discov Devel       Date:  2007-05

3.  Well-tempered metadynamics: a smoothly converging and tunable free-energy method.

Authors:  Alessandro Barducci; Giovanni Bussi; Michele Parrinello
Journal:  Phys Rev Lett       Date:  2008-01-18       Impact factor: 9.161

4.  Funnel-metadynamics and solution NMR to estimate protein-ligand affinities.

Authors:  Laura Troussicot; Florence Guillière; Vittorio Limongelli; Olivier Walker; Jean-Marc Lancelin
Journal:  J Am Chem Soc       Date:  2015-01-14       Impact factor: 15.419

5.  An Efficient Metadynamics-Based Protocol To Model the Binding Affinity and the Transition State Ensemble of G-Protein-Coupled Receptor Ligands.

Authors:  Noureldin Saleh; Passainte Ibrahim; Giorgio Saladino; Francesco Luigi Gervasio; Timothy Clark
Journal:  J Chem Inf Model       Date:  2017-05-08       Impact factor: 4.956

Review 6.  Can We Rely on Computational Predictions To Correctly Identify Ligand Binding Sites on Novel Protein Drug Targets? Assessment of Binding Site Prediction Methods and a Protocol for Validation of Predicted Binding Sites.

Authors:  Neal K Broomhead; Mahmoud E Soliman
Journal:  Cell Biochem Biophys       Date:  2016-10-31       Impact factor: 2.194

7.  Prediction of SAMPL4 host-guest binding affinities using funnel metadynamics.

Authors:  Ya-Wen Hsiao; Pär Söderhjelm
Journal:  J Comput Aided Mol Des       Date:  2014-02-18       Impact factor: 3.686

8.  Ligand Binding, Unbinding, and Allosteric Effects: Deciphering Small-Molecule Modulation of HSP90.

Authors:  Ilda D'Annessa; Stefano Raniolo; Vittorio Limongelli; Daniele Di Marino; Giorgio Colombo
Journal:  J Chem Theory Comput       Date:  2019-10-08       Impact factor: 6.006

9.  The Molecular Mechanism Underlying Ligand Binding to the Membrane-Embedded Site of a G-Protein-Coupled Receptor.

Authors:  Xiaojing Yuan; Stefano Raniolo; Vittorio Limongelli; Yechun Xu
Journal:  J Chem Theory Comput       Date:  2018-04-27       Impact factor: 6.006

10.  A guide to simple and informative binding assays.

Authors:  Thomas D Pollard
Journal:  Mol Biol Cell       Date:  2010-12       Impact factor: 4.138

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  19 in total

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Authors:  Jinan Wang; Yinglong Miao
Journal:  J Chem Phys       Date:  2020-10-21       Impact factor: 3.488

2.  Assessing models of force-dependent unbinding rates via infrequent metadynamics.

Authors:  Willmor J Peña Ccoa; Glen M Hocky
Journal:  J Chem Phys       Date:  2022-03-28       Impact factor: 3.488

3.  Molecular mechanism of allosteric modulation for the cannabinoid receptor CB1.

Authors:  Xin Yang; Xuehui Wang; Zheng Xu; Chao Wu; Yangli Zhou; Yifei Wang; Guifeng Lin; Kan Li; Ming Wu; Anjie Xia; Jingming Liu; Lin Cheng; Jun Zou; Wei Yan; Zhenhua Shao; Shengyong Yang
Journal:  Nat Chem Biol       Date:  2022-05-30       Impact factor: 16.174

4.  SEEKR2: Versatile Multiscale Milestoning Utilizing the OpenMM Molecular Dynamics Engine.

Authors:  Lane W Votapka; Andrew M Stokely; Anupam A Ojha; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2022-06-27       Impact factor: 6.162

Review 5.  Accurate determination of protein:ligand standard binding free energies from molecular dynamics simulations.

Authors:  Haohao Fu; Haochuan Chen; Marharyta Blazhynska; Emma Goulard Coderc de Lacam; Florence Szczepaniak; Anna Pavlova; Xueguang Shao; James C Gumbart; François Dehez; Benoît Roux; Wensheng Cai; Christophe Chipot
Journal:  Nat Protoc       Date:  2022-03-11       Impact factor: 17.021

6.  Atomistic Perspective on Biomolecular Adsorption on Functionalized Carbon Nanomaterials under Ambient Conditions.

Authors:  Marzieh Saeedimasine; Erik G Brandt; Alexander P Lyubartsev
Journal:  J Phys Chem B       Date:  2020-12-29       Impact factor: 2.991

7.  Perspectives on High-Throughput Ligand/Protein Docking With Martini MD Simulations.

Authors:  Paulo C T Souza; Vittorio Limongelli; Sangwook Wu; Siewert J Marrink; Luca Monticelli
Journal:  Front Mol Biosci       Date:  2021-03-29

8.  Enhanced sampling molecular dynamics simulations correctly predict the diverse activities of a series of stiff-stilbene G-quadruplex DNA ligands.

Authors:  Michael P O'Hagan; Susanta Haldar; Juan C Morales; Adrian J Mulholland; M Carmen Galan
Journal:  Chem Sci       Date:  2020-11-26       Impact factor: 9.825

9.  Membrane-Facilitated Receptor Access and Binding Mechanisms of Long-Acting β2-Adrenergic Receptor Agonists.

Authors:  Christopher T Szlenk; Jeevan B Gc; Senthil Natesan
Journal:  Mol Pharmacol       Date:  2021-08-01       Impact factor: 4.054

Review 10.  "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

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