Unknown

Dataset Information

0

InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.


ABSTRACT: We propose InSite, a computational method that integrates high-throughput protein and sequence data to infer the specific binding regions of interacting protein pairs. We compared our predictions with binding sites in Protein Data Bank and found significantly more binding events occur at sites we predicted. Several regions containing disease-causing mutations or cancer polymorphisms in human are predicted to be binding for protein pairs related to the disease, which suggests novel mechanistic hypotheses for several diseases.

SUBMITTER: Wang H 

PROVIDER: S-EPMC2375030 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature

altmetric image

Publications

InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.

Wang Haidong H   Segal Eran E   Ben-Hur Asa A   Li Qian-Ru QR   Vidal Marc M   Koller Daphne D  

Genome biology 20070101 9


We propose InSite, a computational method that integrates high-throughput protein and sequence data to infer the specific binding regions of interacting protein pairs. We compared our predictions with binding sites in Protein Data Bank and found significantly more binding events occur at sites we predicted. Several regions containing disease-causing mutations or cancer polymorphisms in human are predicted to be binding for protein pairs related to the disease, which suggests novel mechanistic hy  ...[more]

Similar Datasets

| S-EPMC9849350 | biostudies-literature
| S-EPMC4133621 | biostudies-literature
| S-EPMC4354139 | biostudies-literature
| S-EPMC2253325 | biostudies-literature
| S-EPMC3403467 | biostudies-literature
| S-EPMC8769072 | biostudies-literature
| S-EPMC2800349 | biostudies-literature
| S-EPMC10543297 | biostudies-literature
| S-EPMC11127014 | biostudies-literature
| S-EPMC2808167 | biostudies-literature