Literature DB >> 19298042

Exploring complex protein-ligand recognition mechanisms with coarse metadynamics.

Matteo Masetti1, Andrea Cavalli, Maurizio Recanatini, Francesco Luigi Gervasio.   

Abstract

The metadynamics method has been shown to be a valuable tool to study the mechanism of molecular recognition in atomistic detail [Gervasio, F. L.; et al. J. Am. Chem. Soc. 2005, 127, 2600]. However, it requires an a priori knowledge of all slow degrees of freedom relevant to the docking/undocking mechanism. Here we investigate a combination of docking/clustering with metadynamics performed with a subset of the necessary degrees of freedom (coarse metadynamics), and show that it provides a full mechanistic insight on the protein-ligand docking mechanism. Moreover, the proposed protocol is able to clearly distinguish between crystallographic and noncrystallographic poses of protein-ligand complexes, and also to find the transition state of the full undocking mechanism, thus giving an indication on the binding free energy.

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Year:  2009        PMID: 19298042     DOI: 10.1021/jp803936q

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  23 in total

1.  Sampling protein motion and solvent effect during ligand binding.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-11       Impact factor: 11.205

2.  Locating binding poses in protein-ligand systems using reconnaissance metadynamics.

Authors:  Pär Söderhjelm; Gareth A Tribello; Michele Parrinello
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-21       Impact factor: 11.205

Review 3.  Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

Authors:  Pierre Tuffery; Philippe Derreumaux
Journal:  J R Soc Interface       Date:  2011-10-12       Impact factor: 4.118

4.  Molecular motions in drug design: the coming age of the metadynamics method.

Authors:  Xevi Biarnés; Salvatore Bongarzone; Attilio Vittorio Vargiu; Paolo Carloni; Paolo Ruggerone
Journal:  J Comput Aided Mol Des       Date:  2011-02-17       Impact factor: 3.686

5.  Molecular basis of cyclooxygenase enzymes (COXs) selective inhibition.

Authors:  Vittorio Limongelli; Massimiliano Bonomi; Luciana Marinelli; Francesco Luigi Gervasio; Andrea Cavalli; Ettore Novellino; Michele Parrinello
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-09       Impact factor: 11.205

6.  Unveiling the binding mode of adenosine deaminase inhibitors to the active site of the enzyme: implication for rational drug design : presented by Maria P. Abbracchio.

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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

Review 8.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

9.  Lessons learned in induced fit docking and metadynamics in the Drug Design Data Resource Grand Challenge 2.

Authors:  Matthew P Baumgartner; David A Evans
Journal:  J Comput Aided Mol Des       Date:  2017-11-10       Impact factor: 3.686

10.  Type II kinase inhibitors show an unexpected inhibition mode against Parkinson's disease-linked LRRK2 mutant G2019S.

Authors:  Min Liu; Samantha A Bender; Gregory D Cuny; Woody Sherman; Marcie Glicksman; Soumya S Ray
Journal:  Biochemistry       Date:  2013-03-01       Impact factor: 3.162

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