arXiv Open Access 2019

Machine learning approaches for analyzing and enhancing molecular dynamics simulations

Yihang Wang Joao Marcelo Lamim Ribeiro Pratyush Tiwary
Lihat Sumber

Abstrak

Molecular dynamics (MD) has become a powerful tool for studying biophysical systems, due to increasing computational power and availability of software. Although MD has made many contributions to better understanding these complex biophysical systems, there remain methodological difficulties to be surmounted. First, how to make the deluge of data generated in running even a microsecond long MD simulation human comprehensible. Second, how to efficiently sample the underlying free energy surface and kinetics. In this short perspective, we summarize machine learning based ideas that are solving both of these limitations, with a focus on their key theoretical underpinnings and remaining challenges.

Penulis (3)

Y

Yihang Wang

J

Joao Marcelo Lamim Ribeiro

P

Pratyush Tiwary

Format Sitasi

Wang, Y., Ribeiro, J.M.L., Tiwary, P. (2019). Machine learning approaches for analyzing and enhancing molecular dynamics simulations. https://arxiv.org/abs/1909.11748

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
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arXiv
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Open Access ✓