期刊
BIOINFORMATICS
卷 29, 期 12, 页码 1577-1579出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btt181
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资金
- Tri-Institutional Training Program in Computational Biology and Medicine [via NIH] [1T32GM083937]
- National Institute of General Medical Sciences [R01 GM097358, R01 CA167824]
- Tata Graduate Fellowship
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.
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