iWRAP: An Interface Threading Approach with Application to Prediction of Cancer-Related Protein-Protein Interactions

iWRAP: An Interface Threading Approach with Application to Prediction of Cancer-Related Protein-Protein Interactions

Current homology modeling methods for predicting protein-protein interactions (PPIs) have difficulty in the "twilight zone" (< 40%) of sequence identities. Threading methods extend coverage further into the twilight zone by aligning primary sequences for a pair of proteins to a best-fit...

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Bibliographic Details
Main Authors: Hosur, Raghavendra (Contributor), Xu, Jinbo (Contributor), Berger, Bonnie (Contributor), Bienkowska, Jadwiga R. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Materials Science and Engineering (Contributor), Massachusetts Institute of Technology. Department of Mathematics (Contributor)
Format: Article
Language:English
Published: Elsevier, 2015-09-17T17:56:44Z.
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