INstruct: a database of high-quality 3D structurally resolved protein interactome networks | Zendy

Michael J. Meyer | Zendy; Jishnu Das | Zendy; Xiujuan Wang | Zendy; Haiyuan Yu | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

INstruct: a database of high-quality 3D structurally resolved protein interactome networks

Author(s) -

Michael J. Meyer,

Jishnu Das,

Xiujuan Wang,

Haiyuan Yu

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt181

Subject(s) - interactome , computer science , interface (matter) , visualization , inference , upload , database , information retrieval , data mining , world wide web , biology , artificial intelligence , gene , genetics , bubble , maximum bubble pressure method , parallel computing

INstruct is a database of high-quality, 3D, structurally resolved protein interactome networks in human and six model organisms. INstruct combines the scale of available high-quality binary protein interaction data with the specificity of atomic-resolution structural information derived from co-crystal evidence using a tested interaction interface inference method. Its web interface is designed to allow for flexible search based on standard and organism-specific protein and gene-naming conventions, visualization of protein architecture highlighting interaction interfaces and viewing and downloading custom 3D structurally resolved interactome datasets.

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