Multiscale Computational Protocols for Accurate Residue Interactions at the Flexible Insulin-Receptor Interface
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F25%3A00635637" target="_blank" >RIV/61388963:_____/25:00635637 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1021/acs.jcim.5c00772" target="_blank" >https://doi.org/10.1021/acs.jcim.5c00772</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1021/acs.jcim.5c00772" target="_blank" >10.1021/acs.jcim.5c00772</a>
Alternative languages
Result language
angličtina
Original language name
Multiscale Computational Protocols for Accurate Residue Interactions at the Flexible Insulin-Receptor Interface
Original language description
The quantitative characterization of residue contributions to protein-protein binding across extensive flexible interfaces poses a significant challenge for biophysical computations. It is attributable to the inherent imperfections in the experimental structures themselves, as well as to the lack of reliable computational tools for the evaluation of all types of noncovalent interactions. This study leverages recent advancements in semiempirical quantum-mechanical and implicit solvent approaches embodied in the PM6-D3H4S/COSMO2 method for the development of a hierarchical computational protocols encompassing molecular dynamics, fragmentation, and virtual glycine scan techniques for the investigation of flexible protein-protein interactions. As a model, the binding of insulin to its receptor is selected, a complex and dynamic process that has been extensively studied experimentally. The interaction energies calculated at the PM6-D3H4S/COSMO2 level in ten molecular dynamics snapshots did not correlate with molecular mechanics/generalized Born interaction energies because only the former method is able to describe nonadditive effects. This became evident by the examination of the energetics in small-model dimers featuring all the present types of noncovalent interactions with respect to DFT-D3 calculations. The virtual glycine scan has identified 15 hotspot residues on insulin and 15 on the insulin receptor, and their contributions have been quantified using PM6-D3H4S/COSMO2. The accuracy and credibility of the approach are further supported by the fact that all the insulin hotspots have previously been detected by biochemical and structural methods. The modular nature of the protocol has enabled the formulation of several variants, each tailored to specific accuracy and efficiency requirements. The developed computational strategy is firmly rooted in general biophysical chemistry and is thus offered as a general tool for the quantification of interactions across relevant flexible protein-protein interfaces.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10610 - Biophysics
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Chemical Information and Modeling
ISSN
1549-9596
e-ISSN
1549-960X
Volume of the periodical
65
Issue of the periodical within the volume
11
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
5690-5705
UT code for WoS article
001490103700001
EID of the result in the Scopus database
2-s2.0-105005263175