Literature DB >> 31188006

Exhaustive Search of Ligand Binding Pathways via Volume-Based Metadynamics.

Riccardo Capelli1,2, Paolo Carloni1,3, Michele Parrinello4,5,6.   

Abstract

Determining the complete set of ligands' binding-unbinding pathways is important for drug discovery and for rational interpretation of mutation data. Here we have developed a metadynamics-based technique that addresses this issue and allows estimating affinities in the presence of multiple escape pathways. Our approach is shown on a lysozyme T4 variant in complex with a benzene molecule. The calculated binding free energy is in agreement with experimental data. Remarkably, not only were we able to find all the previously identified ligand binding pathways, but also we identified three pathways previously not identified as such. These results were obtained at a small computational cost, making this approach valuable for practical applications, such as screening of small compound libraries.

Entities:  

Year:  2019        PMID: 31188006     DOI: 10.1021/acs.jpclett.9b01183

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  14 in total

1.  The SAMPL6 SAMPLing challenge: assessing the reliability and efficiency of binding free energy calculations.

Authors:  Andrea Rizzi; Travis Jensen; David R Slochower; Matteo Aldeghi; Vytautas Gapsys; Dimitris Ntekoumes; Stefano Bosisio; Michail Papadourakis; Niel M Henriksen; Bert L de Groot; Zoe Cournia; Alex Dickson; Julien Michel; Michael K Gilson; Michael R Shirts; David L Mobley; John D Chodera
Journal:  J Comput Aided Mol Des       Date:  2020-01-27       Impact factor: 3.686

2.  Enhanced Jarzynski free energy calculations using weighted ensemble.

Authors:  Nicole M Roussey; Alex Dickson
Journal:  J Chem Phys       Date:  2020-10-07       Impact factor: 3.488

3.  SAMPL6 host-guest binding affinities and binding poses from spherical-coordinates-biased simulations.

Authors:  Zhaoxi Sun; Qiaole He; Xiao Li; Zhengdan Zhu
Journal:  J Comput Aided Mol Des       Date:  2020-01-23       Impact factor: 3.686

4.  Creating Maps of the Ligand Binding Landscape for Kinetics-Based Drug Discovery.

Authors:  Tom Dixon; Samuel D Lotz; Alex Dickson
Journal:  Methods Mol Biol       Date:  2022

5.  Exploration vs Convergence Speed in Adaptive-Bias Enhanced Sampling.

Authors:  Michele Invernizzi; Michele Parrinello
Journal:  J Chem Theory Comput       Date:  2022-05-26       Impact factor: 6.578

6.  Interrogating RNA-Small Molecule Interactions with Structure Probing and Artificial Intelligence-Augmented Molecular Simulations.

Authors:  Yihang Wang; Shaifaly Parmar; John S Schneekloth; Pratyush Tiwary
Journal:  ACS Cent Sci       Date:  2022-05-16       Impact factor: 18.728

Review 7.  Thermodynamics and Kinetics of Drug-Target Binding by Molecular Simulation.

Authors:  Sergio Decherchi; Andrea Cavalli
Journal:  Chem Rev       Date:  2020-10-02       Impact factor: 60.622

8.  SAMPL7 TrimerTrip host-guest binding affinities from extensive alchemical and end-point free energy calculations.

Authors:  Zhe Huai; Huaiyu Yang; Xiao Li; Zhaoxi Sun
Journal:  J Comput Aided Mol Des       Date:  2020-10-10       Impact factor: 3.686

9.  SAMPL7 TrimerTrip host-guest binding poses and binding affinities from spherical-coordinates-biased simulations.

Authors:  Zhaoxi Sun
Journal:  J Comput Aided Mol Des       Date:  2020-08-10       Impact factor: 3.686

10.  Protein-ligand binding with the coarse-grained Martini model.

Authors:  Paulo C T Souza; Sebastian Thallmair; Paolo Conflitti; Carlos Ramírez-Palacios; Riccardo Alessandri; Stefano Raniolo; Vittorio Limongelli; Siewert J Marrink
Journal:  Nat Commun       Date:  2020-07-24       Impact factor: 14.919

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