An in silico proteomics screen to predict and prioritize protein–protein interactions dependent on post-translationally modified motifs | Zendy

Anna M. Schmoker | Zendy; Heather Driscoll | Zendy; Stefanie R Geiger | Zendy; James J. Vincent | Zendy; Alicia M. Ebert | Zendy; Bryan A. Ballif | Zendy

Open Access

An in silico proteomics screen to predict and prioritize protein–protein interactions dependent on post-translationally modified motifs

Author(s) -

Anna M. Schmoker,

Heather Driscoll,

Stefanie R Geiger,

James J. Vincent,

Alicia M. Ebert,

Bryan A. Ballif

Publication year - 2018

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/bty434

Subject(s) - adapter molecule crk , computational biology , signal transducing adaptor protein , sh2 domain , in silico , proteomics , protein–protein interaction , biology , motif (music) , phosphorylation , microbiology and biotechnology , proto oncogene tyrosine protein kinase src , genetics , gene , physics , acoustics

The development of proteomic methods for the characterization of domain/motif interactions has greatly expanded our understanding of signal transduction. However, proteomics-based binding screens have limitations including that the queried tissue or cell type may not harbor all potential interacting partners or post-translational modifications (PTMs) required for the interaction. Therefore, we sought a generalizable, complementary in silico approach to identify potentially novel motif and PTM-dependent binding partners of high priority.

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