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Characterizing Protein-Protein Interactions with the Fragment Molecular Orbital Method
- 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.
- Subjects :
- 0303 health sciences
010304 chemical physics
Chemistry
Drug discovery
Interaction energy
Computational biology
01 natural sciences
Molecular machine
Protein–protein interaction
03 medical and health sciences
Molecular recognition
Human interactome
0103 physical sciences
Fragment molecular orbital
Function (biology)
030304 developmental biology
Subjects
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