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Finding multiple reaction pathways via global optimization of action
Cited 29 time in
Web of Science
Cited 31 time in Scopus
- Authors
- Issue Date
- 2017-05
- Publisher
- Nature Publishing Group
- Citation
- Nature Communications, Vol.8, p. 15443
- Abstract
- Global searching for reaction pathways is a long-standing challenge in computational chemistry and biology. Most existing approaches perform only local searches due to computational complexity. Here we present a computational approach, Action-CSA, to find multiple diverse reaction pathways connecting fixed initial and final states through global optimization of the Onsager-Machlup action using the conformational space annealing (CSA) method. Action-CSA successfully overcomes large energy barriers via crossovers and mutations of pathways and finds all possible pathways of small systems without initial guesses on pathways. The rank order and the transition time distribution of multiple pathways are in good agreement with those of long Langevin dynamics simulations. The lowest action folding pathway of FSD-1 is consistent with recent experiments. The results show that Action-CSA is an efficient and robust computational approach to study the multiple pathways of complex reactions and large-scale conformational changes.
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Related Researcher
- Graduate School of Convergence Science & Technology
- Dept. of Molecular and Biopharmaceutical Sciences
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