Qualitative and Quantitative Protein Complex Prediction Through Proteome-Wide Simulations.

ABSTRACT: Despite recent progress in proteomics most protein complexes are still unknown. Identification of these complexes will help us understand cellular regulatory mechanisms and support development of new drugs. Therefore it is really important to establish detailed information about the composition and the abundance of protein complexes but existing algorithms can only give qualitative predictions. Herein, we propose a new approach based on stochastic simulations of protein complex formation that integrates multi-source data--such as protein abundances, domain-domain interactions and functional annotations--to predict alternative forms of protein complexes together with their abundances. This method, called SiComPre (Simulation based Complex Prediction), achieves better qualitative prediction

SUBMITTER: Rizzetto S 

PROVIDER: S-EPMC4619657 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature