A computational framework for modeling functional protein-protein interactions

Pal, A and Pal, D and Mitra, P (2021) A computational framework for modeling functional protein-protein interactions. In: Proteins: Structure, Function and Bioinformatics .

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Abstract

Protein interactions and their assemblies assist in understanding the cellular mechanisms through the knowledge of interactome. Despite recent advances, a vast number of interacting protein complexes is not annotated by three-dimensional structures. Therefore, a computational framework is a suitable alternative to fill the large gap between identified interactions and the interactions with known structures. In this work, we develop an automated computational framework for modeling functionally related protein-complex structures utilizing GO-based semantic similarity technique and co-evolutionary information of the interaction sites. The framework can consider protein sequence and structure information as input and employ both rigid-body docking and template-based modeling exploiting the existing structural templates and sequence homology information from the PDB. Our framework combines geometric as well as physicochemical features for re-ranking the docking decoys. The proposed framework has an 83 success rate when tested on a benchmark dataset while considering Top1 models for template-based modeling and Top10 models for the docking pipeline. We believe that our computational framework can be used for any pair of proteins with higher confidence to identify the functional protein-protein interactions. © 2021 Wiley Periodicals LLC.

Item Type:	Journal Article
Publication:	Proteins: Structure, Function and Bioinformatics
Publisher:	John Wiley and Sons Inc
Additional Information:	The copyright for this article belongs to John Wiley and Sons Inc
Keywords:	article; pipeline; protein protein interaction; sequence homology
Department/Centre:	Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited:	24 Aug 2021 11:00
Last Modified:	24 Aug 2021 11:00
URI:	http://eprints.iisc.ac.in/id/eprint/69376

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