Enhanced sampling method in molecular simulations using genetic algorithm for biomolecular systems

Author:

Sakae Yoshitake1,Straub John E.2,Okamoto Yuko13456ORCID

Affiliation:

1. Department of PhysicsGraduate School of Science, Nagoya University Nagoya Aichi 464‐8602 Japan

2. Department of ChemistryBoston University Boston Massachusetts 02215‐2521

3. Information Technology CenterNagoya University Nagoya Aichi 464‐8601 Japan

4. Structural Biology Research CenterGraduate School of Science, Nagoya University Nagoya Aichi 464‐8602 Japan

5. Center for Computational Science, Graduate School of Engineering, Nagoya University Nagoya Aichi 464‐8603 Japan

6. JST‐CREST Nagoya Aichi 464‐8602 Japan

Funder

Japan Society for the Promotion of Science

Ministry of Education, Culture, Sports, Science and Technology

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions;Frontiers of Information Technology & Electronic Engineering;2022-10

2. Combination of genetic algorithm and generalised-ensemble algorithms for biomolecular simulations;Frontiers of Nanoscience;2022

3. Stability of feature selection algorithm: A review;Journal of King Saud University - Computer and Information Sciences;2019-06

4. Protein structure predictions by enhanced conformational sampling methods;Biophysics and Physicobiology;2019

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