Gaia: automated quality assessment of protein structure models | Zendy

Pradeep Kota | Zendy; Feng Ding | Zendy; Srinivas Ramachandran | Zendy; Nikolay V. Dokholyan | Zendy

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Gaia: automated quality assessment of protein structure models

Author(s) -

Pradeep Kota,

Feng Ding,

Srinivas Ramachandran,

Nikolay V. Dokholyan

Publication year - 2011

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/btr374

Subject(s) - computer science , protein structure prediction , steric effects , protein structure , accessible surface area , crystal structure , covalent bond , protein crystallization , resolution (logic) , quality (philosophy) , crystallography , scaling , protein data bank , conformational isomerism , structural bioinformatics , algorithm , chemistry , geometry , mathematics , artificial intelligence , physics , molecule , computational chemistry , biochemistry , organic chemistry , quantum mechanics , stereochemistry , crystallization

Increasing use of structural modeling for understanding structure-function relationships in proteins has led to the need to ensure that the protein models being used are of acceptable quality. Quality of a given protein structure can be assessed by comparing various intrinsic structural properties of the protein to those observed in high-resolution protein structures.

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