1. TransINT: an interface-based prediction of membrane protein-protein interactions
- Author
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Khazen, G., Issa, T., Gyulkhandanian, A., and Maroun, R.C.
- Subjects
Computational biology ,Protein–protein interaction ,Transmembrane protein ,Cell signaling ,Proteome ,Membrane protein ,Sequence analysis ,Genetics ,Protein sequencing ,Biology ,Amino acid - Abstract
Membrane proteins account for about one-third of the proteomes of organisms and include structural proteins, channels, and receptors. The mutual interactions they establish in the membrane play crucial roles in organisms, as they are behind many processes such as cell signaling and protein function. Because of their number and diversity, these proteins and their macromolecular complexes, along with their physical interfaces represent potential pharmacological targets par excellence for a variety of diseases, with very important implications for the design and discovery of new drugs or peptides modulating or inhibiting the interaction. Yet, structural data coming from experiments is very scarce for this family of proteins. To overcome this problem, we propose a computational approach for the prediction of alpha transmembrane protein multimeric higher-order structures through data mining, sequence analysis, motif search, extraction, identification and characterization of the amino acid residues at the interface of the complexes. This method leads us to the formulation of binding sites used to scan protein sequence datasets for generating new potential interacting protein couples. Our template motif-based approach using experimental recognition sites leads us to predict new binding sites and to thousands of new binary complexes between membrane proteins when allowing amino acid mutations to take place. We generate an online database of the annotated predicted interactions. more...
- Published
- 2019
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