Structure-based de novo prediction of zinc-binding sites in proteins of unknown function | Zendy

Wei Zhao | Zendy; Meng Xu | Zendy; Zhi Liang | Zendy; Bo Ding | Zendy; Liwen Niu | Zendy; Haiyan Liu | Zendy; Maikun Teng | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Structure-based de novo prediction of zinc-binding sites in proteins of unknown function

Author(s) -

Wei Zhao,

Meng Xu,

Zhi Liang,

Bo Ding,

Liwen Niu,

Haiyan Liu,

Maikun Teng

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/btr133

Subject(s) - computational biology , function (biology) , zinc , binding site , computer science , biology , chemistry , biochemistry , genetics , organic chemistry

Zinc-binding proteins are the most abundant metallo-proteins in Protein Data Bank (PDB). Accurate prediction of zinc-binding sites in proteins of unknown function may provide important clues for the inference of protein function. As zinc binding is often associated with characteristic 3D arrangements of zinc ligand residues, its prediction may benefit from using not only the sequence information but also the structure information of proteins.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research