Literature DB >> 22296449

SiteBinder: an improved approach for comparing multiple protein structural motifs.

David Sehnal1, Radka Svobodová Vařeková, Heinrich J Huber, Stanislav Geidl, Crina-Maria Ionescu, Michaela Wimmerová, Jaroslav Koča.   

Abstract

There is a paramount need to develop new techniques and tools that will extract as much information as possible from the ever growing repository of protein 3D structures. We report here on the development of a software tool for the multiple superimposition of large sets of protein structural motifs. Our superimposition methodology performs a systematic search for the atom pairing that provides the best fit. During this search, the RMSD values for all chemically relevant pairings are calculated by quaternion algebra. The number of evaluated pairings is markedly decreased by using PDB annotations for atoms. This approach guarantees that the best fit will be found and can be applied even when sequence similarity is low or does not exist at all. We have implemented this methodology in the Web application SiteBinder, which is able to process up to thousands of protein structural motifs in a very short time, and which provides an intuitive and user-friendly interface. Our benchmarking analysis has shown the robustness, efficiency, and versatility of our methodology and its implementation by the successful superimposition of 1000 experimentally determined structures for each of 32 eukaryotic linear motifs. We also demonstrate the applicability of SiteBinder using three case studies. We first compared the structures of 61 PA-IIL sugar binding sites containing nine different sugars, and we found that the sugar binding sites of PA-IIL and its mutants have a conserved structure despite their binding different sugars. We then superimposed over 300 zinc finger central motifs and revealed that the molecular structure in the vicinity of the Zn atom is highly conserved. Finally, we superimposed 12 BH3 domains from pro-apoptotic proteins. Our findings come to support the hypothesis that there is a structural basis for the functional segregation of BH3-only proteins into activators and enablers.

Entities:  

Mesh:

Year:  2012        PMID: 22296449     DOI: 10.1021/ci200444d

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


  5 in total

1.  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

2.  ValidatorDB: database of up-to-date validation results for ligands and non-standard residues from the Protein Data Bank.

Authors:  David Sehnal; Radka Svobodová Vařeková; Lukáš Pravda; Crina-Maria Ionescu; Stanislav Geidl; Vladimír Horský; Deepti Jaiswal; Michaela Wimmerová; Jaroslav Koča
Journal:  Nucleic Acids Res       Date:  2014-11-11       Impact factor: 16.971

3.  MotiveValidator: interactive web-based validation of ligand and residue structure in biomolecular complexes.

Authors:  Radka Svobodová Vařeková; Deepti Jaiswal; David Sehnal; Crina-Maria Ionescu; Stanislav Geidl; Lukáš Pravda; Vladimír Horský; Michaela Wimmerová; Jaroslav Koča
Journal:  Nucleic Acids Res       Date:  2014-05-21       Impact factor: 16.971

4.  The Eighth Central European Conference "Chemistry towards Biology": Snapshot.

Authors:  András Perczel; Atanas G Atanasov; Vladimír Sklenář; Jiří Nováček; Veronika Papoušková; Pavel Kadeřávek; Lukáš Žídek; Henryk Kozłowski; Joanna Wątły; Aleksandra Hecel; Paulina Kołkowska; Jaroslav Koča; Radka Svobodová-Vařeková; Lukáš Pravda; David Sehnal; Vladimír Horský; Stanislav Geidl; Ricardo D Enriz; Pavel Matějka; Adéla Jeništová; Marcela Dendisová; Alžběta Kokaislová; Volkmar Weissig; Mark Olsen; Aidan Coffey; Jude Ajuebor; Ruth Keary; Marta Sanz-Gaitero; Mark J van Raaij; Olivia McAuliffe; Birgit Waltenberger; Andrei Mocan; Karel Šmejkal; Elke H Heiss; Marc Diederich; Robert Musioł; Janez Košmrlj; Jarosław Polański; Josef Jampílek
Journal:  Molecules       Date:  2016-10-17       Impact factor: 4.411

5.  Finding enzyme cofactors in Protein Data Bank.

Authors:  Abhik Mukhopadhyay; Neera Borkakoti; Lukáš Pravda; Jonathan D Tyzack; Janet M Thornton; Sameer Velankar
Journal:  Bioinformatics       Date:  2019-09-15       Impact factor: 6.937

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.