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Toropova AP, Toropov AA. Application of the Monte Carlo Method for the Prediction of Behavior of Peptides. Curr Protein Pept Sci 2019; 20:1151-1157. [DOI: 10.2174/1389203720666190123163907] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 12/17/2018] [Accepted: 12/20/2018] [Indexed: 12/26/2022]
Abstract
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.
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Affiliation(s)
- Alla P. Toropova
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via La Masa 19, 20156 Milano, Italy
| | - Andrey A. Toropov
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via La Masa 19, 20156 Milano, Italy
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Dubovskii PV. Unusual titration of the membrane-bound artificial hemagglutinin fusion peptide. EUROPEAN BIOPHYSICS JOURNAL: EBJ 2012; 41:1077-84. [DOI: 10.1007/s00249-012-0867-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2012] [Revised: 09/25/2012] [Accepted: 10/04/2012] [Indexed: 11/28/2022]
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