SEHNAL, David, Radka SVOBODOVÁ VAŘEKOVÁ, Heinrich J. HUBER, Stanislav GEIDL, Crina-Maria IONESCU, Michaela WIMMEROVÁ and Jaroslav KOČA. SiteBinder: An improved approach for comparing multiple protein structural motifs. Journal of Chemical Information and Modeling. vol. 52, No 2, p. 343–359. ISSN 1549-9596. doi:10.1021/ci200444d. 2012.
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Basic information
Original name SiteBinder: An improved approach for comparing multiple protein structural motifs
Authors SEHNAL, David (203 Czech Republic, belonging to the institution), Radka SVOBODOVÁ VAŘEKOVÁ (203 Czech Republic, belonging to the institution), Heinrich J. HUBER (40 Austria), Stanislav GEIDL (203 Czech Republic, belonging to the institution), Crina-Maria IONESCU (642 Romania, belonging to the institution), Michaela WIMMEROVÁ (203 Czech Republic, belonging to the institution) and Jaroslav KOČA (203 Czech Republic, guarantor, belonging to the institution).
Edition Journal of Chemical Information and Modeling, 2012, 1549-9596.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10403 Physical chemistry
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 4.304
RIV identification code RIV/00216224:14310/12:00057316
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1021/ci200444d
UT WoS 000300650400009
Keywords in English protein structural motifs; superimposition; comparison; lectins; apoptosis
Tags AKR, best1, rivok
Tags International impact, Reviewed
Changed by Changed by: RNDr. Stanislav Geidl, Ph.D., učo 327887. Changed: 27/7/2014 18:56.
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.
Links
GD301/09/H004, research and development projectName: Molekulární a strukturní biologie vybraných cytostatik. Od mechanistických studií k chemoterapii rakoviny
Investor: Czech Science Foundation
ME08008, research and development projectName: Návrh antibakteriálních a antivirových léků na bázi cukrů a glykomimetik
Investor: Ministry of Education, Youth and Sports of the CR, Design of Carbohydrates and Glycomimetics as Antibacterial and Antiviral Drugs, Research and Development Programme KONTAKT (ME)
MUNI/A/0914/2009, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace (Acronym: SV-FI MAV)
Investor: Masaryk University, Category A
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