REVIEW: Methods of Computational Interactomics for Investigating Interactions of Human Proteoforms

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E. V. Poverennaya^1,a*, O. I. Kiseleva¹, A. S. Ivanov¹, and E. A. Ponomarenko¹

¹Institute of Biomedical Chemistry, 119121 Moscow, Russia

^* To whom correspondence should be addressed.

Received March 25, 2019; Revised September 16, 2019; Accepted October 7, 2019

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Human genome contains ca. 20,000 protein-coding genes that could be translated into millions of unique protein species (proteoforms). Proteoforms coded by a single gene often have different functions, which implies different protein partners. By interacting with each other, proteoforms create a network reflecting the dynamics of cellular processes in an organism. Perturbations of protein–protein interactions change the network topology, which often triggers pathological processes. Studying proteoforms is a relatively new research area in proteomics, and this is why there are comparatively few experimental studies on the interaction of proteoforms. Bioinformatics tools can facilitate such studies by providing valuable complementary information to the experimental data and, in particular, expanding the possibilities of the studies of proteoform interactions.

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KEY WORDS: protein–protein interactions, interactomics, bioinformatics

DOI: 10.1134/S000629792001006X

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