Literature DB >> 32079518

Methods of Computational Interactomics for Investigating Interactions of Human Proteoforms.

E V Poverennaya1, O I Kiseleva2, A S Ivanov2, E A Ponomarenko2.   

Abstract

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.

Entities:  

Year:  2020        PMID: 32079518     DOI: 10.1134/S000629792001006X

Source DB:  PubMed          Journal:  Biochemistry (Mosc)        ISSN: 0006-2979            Impact factor:   2.487


  2 in total

Review 1.  System-Wide Pollution of Biomedical Data: Consequence of the Search for Hub Genes of Hepatocellular Carcinoma Without Spatiotemporal Consideration.

Authors:  Ankush Sharma; Giovanni Colonna
Journal:  Mol Diagn Ther       Date:  2021-01-21       Impact factor: 4.074

2.  Quantitative fragmentomics allow affinity mapping of interactomes.

Authors:  Gergo Gogl; Boglarka Zambo; Camille Kostmann; Alexandra Cousido-Siah; Bastien Morlet; Fabien Durbesson; Luc Negroni; Pascal Eberling; Pau Jané; Yves Nominé; Andras Zeke; Søren Østergaard; Élodie Monsellier; Renaud Vincentelli; Gilles Travé
Journal:  Nat Commun       Date:  2022-09-17       Impact factor: 17.694

  2 in total

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