Segmenting Proteins into Tripeptides to Enhance Conformational Sampling with Monte Carlo Methods
This paper presents an approach to enhance conformational sampling of proteins employing stochastic algorithms such as Monte Carlo (MC) methods. The approach is based on a mechanistic representation of proteins and on the application of methods originating from robotics. We outline the general ideas...
Main Authors: | Laurent Denarie, Ibrahim Al-Bluwi, Marc Vaisset, Thierry Siméon, Juan Cortés |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-02-01
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Series: | Molecules |
Subjects: | |
Online Access: | http://www.mdpi.com/1420-3049/23/2/373 |
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