Literature DB >> 23553839

Funnel metadynamics as accurate binding free-energy method.

Vittorio Limongelli1, Massimiliano Bonomi, Michele Parrinello.   

Abstract

A detailed description of the events ruling ligand/protein interaction and an accurate estimation of the drug affinity to its target is of great help in speeding drug discovery strategies. We have developed a metadynamics-based approach, named funnel metadynamics, that allows the ligand to enhance the sampling of the target binding sites and its solvated states. This method leads to an efficient characterization of the binding free-energy surface and an accurate calculation of the absolute protein-ligand binding free energy. We illustrate our protocol in two systems, benzamidine/trypsin and SC-558/cyclooxygenase 2. In both cases, the X-ray conformation has been found as the lowest free-energy pose, and the computed protein-ligand binding free energy in good agreement with experiments. Furthermore, funnel metadynamics unveils important information about the binding process, such as the presence of alternative binding modes and the role of waters. The results achieved at an affordable computational cost make funnel metadynamics a valuable method for drug discovery and for dealing with a variety of problems in chemistry, physics, and material science.

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Year:  2013        PMID: 23553839      PMCID: PMC3631651          DOI: 10.1073/pnas.1303186110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

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Journal:  Angew Chem Int Ed Engl       Date:  2013-01-17       Impact factor: 15.336

8.  Structural basis for selective inhibition of cyclooxygenase-2 by anti-inflammatory agents.

Authors:  R G Kurumbail; A M Stevens; J K Gierse; J J McDonald; R A Stegeman; J Y Pak; D Gildehaus; J M Miyashiro; T D Penning; K Seibert; P C Isakson; W C Stallings
Journal:  Nature       Date:  1996 Dec 19-26       Impact factor: 49.962

9.  A new method for predicting binding affinity in computer-aided drug design.

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Review 10.  Computations of standard binding free energies with molecular dynamics simulations.

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Journal:  J Phys Chem B       Date:  2009-02-26       Impact factor: 2.991

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  91 in total

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Review 4.  Enhanced sampling techniques in molecular dynamics simulations of biological systems.

Authors:  Rafael C Bernardi; Marcelo C R Melo; Klaus Schulten
Journal:  Biochim Biophys Acta       Date:  2014-10-23

Review 5.  Mutagenesis computer experiments in pentameric ligand-gated ion channels: the role of simulation tools with different resolution.

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Authors:  Alex Dickson; Samuel D Lotz
Journal:  Biophys J       Date:  2017-02-28       Impact factor: 4.033

Review 7.  Enhanced sampling simulations to construct free-energy landscape of protein-partner substrate interaction.

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8.  Predicting ligand binding affinity using on- and off-rates for the SAMPL6 SAMPLing challenge.

Authors:  Tom Dixon; Samuel D Lotz; Alex Dickson
Journal:  J Comput Aided Mol Des       Date:  2018-08-23       Impact factor: 3.686

9.  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

10.  Computing Ligands Bound to Proteins Using MELD-Accelerated MD.

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Journal:  J Chem Theory Comput       Date:  2020-09-23       Impact factor: 6.006

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