PHI-DAC: protein homology database through dihedral angle conservation | Zendy

Noa Maatuk | Zendy; Yitav Glantz-Gashai | Zendy; Maya Rotman | Zendy; Meirav Baydany | Zendy; Gennadiy Fonar | Zendy; Amir Shechvitz | Zendy; Karin Shemer | Zendy; Aviva Peleg | Zendy; Eli Reuveni | Zendy; Abraham O. Samson | Zendy

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PHI-DAC: protein homology database through dihedral angle conservation

Author(s) -

Noa Maatuk,

Yitav Glantz-Gashai,

Maya Rotman,

Meirav Baydany,

Gennadiy Fonar,

Amir Shechvitz,

Karin Shemer,

Aviva Peleg,

Eli Reuveni,

Abraham O. Samson

Publication year - 2014

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/btu617

Subject(s) - dihedral angle , computer science , homology (biology) , protein data bank , search engine , database search engine , information retrieval , database , data mining , computational biology , protein structure , amino acid , biology , chemistry , genetics , biochemistry , hydrogen bond , organic chemistry , molecule

Finding related conformations in the Protein Data Bank is essential in many areas of bioscience. To assist this task, we designed a dihedral angle database for searching protein segment homologs. The search engine relies on encoding of the protein coordinates into text characters representing amino acid sequence, φ and ψ dihedral angles. The search engine is advantageous owing to its high speed and interactive nature and is expected to assist scientists in discovering conformation homologs and evolutionary kinship. The search engine is fast, with query times lasting a few seconds, and freely available at http://tarshish.md.biu.ac.il/∼samsona.

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