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Characterizing Protein-Protein Interactions with the Fragment Molecular Orbital Method

Authors :
Andrea Townsend-Nicholson
Vladimir Sladek
Alexander Heifetz
Dmitri G. Fedorov
Source :
Methods in Molecular Biology ISBN: 9781071602812, Quantum Mechanics in Drug Discovery, Methods in Molecular Biology, Methods in Molecular Biology-Quantum Mechanics in Drug Discovery
Publication Year :
2020
Publisher :
Springer US, 2020.

Abstract

Proteins are vital components of living systems, serving as building blocks, molecular machines, enzymes, receptors, ion channels, sensors, and transporters. Protein-protein interactions (PPIs) are a key part of their function. There are more than 645,000 reported disease-relevant PPIs in the human interactome, but drugs have been developed for only 2% of these targets. The advances in PPI-focused drug discovery are highly dependent on the availability of structural data and accurate computational tools for analysis of this data. Quantum mechanical approaches are often too expensive computationally, but the fragment molecular orbital (FMO) method offers an excellent solution that combines accuracy, speed and the ability to reveal key interactions that would otherwise be hard to detect. FMO provides essential information for PPI drug discovery, namely, identification of key interactions formed between residues of two proteins, including their strength (in kcal/mol) and their chemical nature (electrostatic or hydrophobic). In this chapter, we have demonstrated how three different FMO-based approaches (pair interaction energy analysis (PIE analysis), subsystem analysis (SA) and analysis of protein residue networks (PRNs)) have been applied to study PPI in three protein-protein complexes.

Details

ISBN :
978-1-07-160281-2
978-1-07-160282-9
ISSN :
10643745 and 19406029
ISBNs :
9781071602812 and 9781071602829
Database :
OpenAIRE
Journal :
Methods in Molecular Biology ISBN: 9781071602812, Quantum Mechanics in Drug Discovery, Methods in Molecular Biology, Methods in Molecular Biology-Quantum Mechanics in Drug Discovery
Accession number :
edsair.doi.dedup.....4e0ce170bc6936e8e4711b85f4c96c35
Full Text :
https://doi.org/10.1007/978-1-0716-0282-9_13