Literature DB >> 23621586

TRAPP: a tool for analysis of transient binding pockets in proteins.

Daria B Kokh1, Stefan Richter, Stefan Henrich, Paul Czodrowski, Friedrich Rippmann, Rebecca C Wade.   

Abstract

We present TRAPP (TRAnsient Pockets in Proteins), a new automated software platform for tracking, analysis, and visualization of binding pocket variations along a protein motion trajectory or within an ensemble of protein structures that may encompass conformational changes ranging from local side chain fluctuations to global backbone motions. TRAPP performs accurate grid-based calculations of the shape and physicochemical characteristics of a binding pocket for each structure and detects the conserved and transient regions of the pocket in an ensemble of protein conformations. It also provides tools for tracing the opening of a particular subpocket and residues that contribute to the binding site. TRAPP thus enables an assessment of the druggability of a disease-related target protein taking its flexibility into account.

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Year:  2013        PMID: 23621586     DOI: 10.1021/ci4000294

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  17 in total

1.  POVME 3.0: Software for Mapping Binding Pocket Flexibility.

Authors:  Jeffrey R Wagner; Jesper Sørensen; Nathan Hensley; Celia Wong; Clare Zhu; Taylor Perison; Rommie E Amaro
Journal:  J Chem Theory Comput       Date:  2017-08-30       Impact factor: 6.006

Review 2.  Computational polypharmacology: a new paradigm for drug discovery.

Authors:  Rajan Chaudhari; Zhi Tan; Beibei Huang; Shuxing Zhang
Journal:  Expert Opin Drug Discov       Date:  2017-01-23       Impact factor: 6.098

3.  Geometric Detection Algorithms for Cavities on Protein Surfaces in Molecular Graphics: A Survey.

Authors:  Tiago Simões; Daniel Lopes; Sérgio Dias; Francisco Fernandes; João Pereira; Joaquim Jorge; Chandrajit Bajaj; Abel Gomes
Journal:  Comput Graph Forum       Date:  2017-06-01       Impact factor: 2.078

Review 4.  Investigating Cryptic Binding Sites by Molecular Dynamics Simulations.

Authors:  Antonija Kuzmanic; Gregory R Bowman; Jordi Juarez-Jimenez; Julien Michel; Francesco L Gervasio
Journal:  Acc Chem Res       Date:  2020-03-05       Impact factor: 22.384

5.  AlphaSpace 2.0: Representing Concave Biomolecular Surfaces Using β-Clusters.

Authors:  Joseph Katigbak; Haotian Li; David Rooklin; Yingkai Zhang
Journal:  J Chem Inf Model       Date:  2020-02-11       Impact factor: 4.956

6.  Considerations of Protein Subpockets in Fragment-Based Drug Design.

Authors:  Matthew Bartolowits; V Jo Davisson
Journal:  Chem Biol Drug Des       Date:  2015-08-31       Impact factor: 2.817

7.  Evidence of conformational selection driving the formation of ligand binding sites in protein-protein interfaces.

Authors:  Tanggis Bohnuud; Dima Kozakov; Sandor Vajda
Journal:  PLoS Comput Biol       Date:  2014-10-02       Impact factor: 4.475

8.  KVFinder: steered identification of protein cavities as a PyMOL plugin.

Authors:  Saulo H P Oliveira; Felipe A N Ferraz; Rodrigo V Honorato; José Xavier-Neto; Tiago J P Sobreira; Paulo S L de Oliveira
Journal:  BMC Bioinformatics       Date:  2014-06-17       Impact factor: 3.169

9.  Structure-based druggability assessment of the mammalian structural proteome with inclusion of light protein flexibility.

Authors:  Kathryn A Loving; Andy Lin; Alan C Cheng
Journal:  PLoS Comput Biol       Date:  2014-07-31       Impact factor: 4.475

10.  Exploiting Transient Protein States for the Design of Small-Molecule Stabilizers of Mutant p53.

Authors:  Andreas C Joerger; Matthias R Bauer; Rainer Wilcken; Matthias G J Baud; Hannes Harbrecht; Thomas E Exner; Frank M Boeckler; John Spencer; Alan R Fersht
Journal:  Structure       Date:  2015-12-01       Impact factor: 5.006

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