In Silico Models of Biological Activities of Peptides Using the Coefficient of Conformism of a Correlative Prediction and the Las Vegas Algorithm

Peptides are substances with numerous applications in chemistry, biology, medicine, and agriculture. Systematization of knowledge related to peptides may well have not only scientific research but also economic consequences. This study examines the antioxidant activity of peptides and the ACE-inhibi...

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Main Authors: Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, Emilio Benfenati
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Macromol
Subjects:
Online Access:https://www.mdpi.com/2673-6209/5/2/27
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author Alla P. Toropova
Andrey A. Toropov
Alessandra Roncaglioni
Emilio Benfenati
author_facet Alla P. Toropova
Andrey A. Toropov
Alessandra Roncaglioni
Emilio Benfenati
author_sort Alla P. Toropova
collection DOAJ
description Peptides are substances with numerous applications in chemistry, biology, medicine, and agriculture. Systematization of knowledge related to peptides may well have not only scientific research but also economic consequences. This study examines the antioxidant activity of peptides and the ACE-inhibitory capacity of peptides. Peptides are considered here containing three or four amino acids. Nevertheless, instead of considering peptides as traditional molecules, an attempt is made here to systematize the corresponding endpoints as mathematical functions of lists of amino acids, rather than considering the corresponding atoms and covalent bonds. New techniques that may be useful in theory and in practice for the development of quantitative structure–property/activity relationships (QSPRs/QSARs) related to certain types of biological activity of peptides are proposed and discussed.
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institution Kabale University
issn 2673-6209
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publishDate 2025-06-01
publisher MDPI AG
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series Macromol
spelling doaj-art-767a6d564d8443758a8bb2b910912c2f2025-08-20T03:27:29ZengMDPI AGMacromol2673-62092025-06-01522710.3390/macromol5020027In Silico Models of Biological Activities of Peptides Using the Coefficient of Conformism of a Correlative Prediction and the Las Vegas AlgorithmAlla P. Toropova0Andrey A. Toropov1Alessandra Roncaglioni2Emilio Benfenati3Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, ItalyLaboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, ItalyLaboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, ItalyLaboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, ItalyPeptides are substances with numerous applications in chemistry, biology, medicine, and agriculture. Systematization of knowledge related to peptides may well have not only scientific research but also economic consequences. This study examines the antioxidant activity of peptides and the ACE-inhibitory capacity of peptides. Peptides are considered here containing three or four amino acids. Nevertheless, instead of considering peptides as traditional molecules, an attempt is made here to systematize the corresponding endpoints as mathematical functions of lists of amino acids, rather than considering the corresponding atoms and covalent bonds. New techniques that may be useful in theory and in practice for the development of quantitative structure–property/activity relationships (QSPRs/QSARs) related to certain types of biological activity of peptides are proposed and discussed.https://www.mdpi.com/2673-6209/5/2/27antioxidant activityACE-inhibitory activitypeptidesquasi-SMILESQSARMonte Carlo method
spellingShingle Alla P. Toropova
Andrey A. Toropov
Alessandra Roncaglioni
Emilio Benfenati
In Silico Models of Biological Activities of Peptides Using the Coefficient of Conformism of a Correlative Prediction and the Las Vegas Algorithm
Macromol
antioxidant activity
ACE-inhibitory activity
peptides
quasi-SMILES
QSAR
Monte Carlo method
title In Silico Models of Biological Activities of Peptides Using the Coefficient of Conformism of a Correlative Prediction and the Las Vegas Algorithm
title_full In Silico Models of Biological Activities of Peptides Using the Coefficient of Conformism of a Correlative Prediction and the Las Vegas Algorithm
title_fullStr In Silico Models of Biological Activities of Peptides Using the Coefficient of Conformism of a Correlative Prediction and the Las Vegas Algorithm
title_full_unstemmed In Silico Models of Biological Activities of Peptides Using the Coefficient of Conformism of a Correlative Prediction and the Las Vegas Algorithm
title_short In Silico Models of Biological Activities of Peptides Using the Coefficient of Conformism of a Correlative Prediction and the Las Vegas Algorithm
title_sort in silico models of biological activities of peptides using the coefficient of conformism of a correlative prediction and the las vegas algorithm
topic antioxidant activity
ACE-inhibitory activity
peptides
quasi-SMILES
QSAR
Monte Carlo method
url https://www.mdpi.com/2673-6209/5/2/27
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