Meta-server for automatic analysis, scoring and ranking of docking models | Zendy

Anastasia A. Anashkina | Zendy; Yuri V. Kravatsky | Zendy; Eugene Kuznetsov | Zendy; Alexander Makarov | Zendy; Alexei A. Adzhubei | Zendy

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Meta-server for automatic analysis, scoring and ranking of docking models

Author(s) -

Anastasia A. Anashkina,

Yuri V. Kravatsky,

Eugene Kuznetsov,

Alexander Makarov,

Alexei A. Adzhubei

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx591

Subject(s) - docking (animal) , computer science , ranking (information retrieval) , data mining , server , rank (graph theory) , computational biology , artificial intelligence , biology , operating system , mathematics , medicine , nursing , combinatorics

Modelling with multiple servers that use different algorithms for docking results in more reliable predictions of interaction sites. However, the scoring and comparison of all models by an expert is time-consuming and is not feasible for large volumes of data generated by such modelling.

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