Application of the Monte Carlo Method for the Prediction of Behavior of Peptides.


Journal

Current protein & peptide science
ISSN: 1875-5550
Titre abrégé: Curr Protein Pept Sci
Pays: United Arab Emirates
ID NLM: 100960529

Informations de publication

Date de publication:
2019
Historique:
received: 23 10 2018
revised: 17 12 2018
accepted: 20 12 2018
pubmed: 25 1 2019
medline: 28 2 2020
entrez: 25 1 2019
Statut: ppublish

Résumé

Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishment of quantitative structure - property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to application of the Monte Carlo technique for studying peptides and biopolymers have been discussed in this review.

Identifiants

pubmed: 30674254
pii: CPPS-EPUB-96055
doi: 10.2174/1389203720666190123163907
doi:

Substances chimiques

Peptides 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1151-1157

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Alla P Toropova (AP)

Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via La Masa 19, 20156 Milano, Italy.

Andrey A Toropov (AA)

Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via La Masa 19, 20156 Milano, Italy.

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Classifications MeSH