Chapter 4: Protein Interactions and Disease
By Mileidy W. Gonzalez, Maricel G. Kann. 2012
243 citations recorded by the source corpus.
Proteins do not function in isolation; it is their interactions with one another and also with other molecules (e.g. DNA, RNA) that mediate metabolic and signaling pathways, cellular processes, and organismal systems. Due to their central role in biological function, protein interactions also control the mechanisms leading to healthy and diseased states in organisms. Diseases are often caused by mutations affecting the binding interface or leading to biochemically dysfunctional allosteric changes in proteins. Therefore, protein interaction networks can elucidate the molecular basis of disease, which in turn can inform methods for prevention, diagnosis, and treatment. In this chapter, we will describe the computational approaches to predict and map networks of protein interactions and briefly review the experimental methods to detect protein interactions. We will describe the application of protein interaction networks as a translational approach to the study of human disease and evaluate the challenges faced by these approaches.
Subfields: Computational Theory and Mathematics, Molecular Biology, Computational Biology & Bioinformatics
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In Computational Theory and Mathematics
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In Computational Biology & Bioinformatics
Citations in the corpus
- Molecular Docking and Structure-Based Drug Design Strategies (2015, background): “Cellular and biochemical processes are largely controlled by interactions between different classes of proteins [114].”
- Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, unknown): “For details on the increasing number ofmethodologies the Reader is referred to recent reviews on the subject (Chautard et al., 2009; De Las Rivas & Fontanillo, 2010, 2012; Jessulat et al., 2011; Sardiu & Washburn, 2011; Seebacher & Gavin, 2011; Gonzalez & Kahn, 2012).”
- The design and development of covalent protein-protein interaction inhibitors for cancer treatment (2020, background): “There are nearly 650,000 PPIs in humans, and this number continues to increase as more interaction networks become discovered [3, 7].”