Author

S. K. Karmaker

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Biophysics· 1

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Approach:deep learning· 1 Assay:multiome· 1 Research Focus:protein folding & dynamics· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

A. Singharoy· 1 shared C. Gupta· 1 shared D. Sarkar· 1 shared E. A. Wilson· 1 shared J. K. Cava· 1 shared J. Vant· 1 shared S. Murray· 1 shared

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2020-2020 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBiophysics

A. Singharoy

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1 paper

Recent·Most cited

Mind reading of the proteins: Deep-learning to forecast molecular dynamics

C. Gupta, J. K. Cava, D. Sarkar, E. A. Wilson, J. Vant, S. Murray, A. Singharoy, S. K. Karmaker

This paper uses deep learning to predict molecular dynamics from simulation data, finding that non-equilibrium MD is easier to train and performance improves with atom independence assumptions.

bioRxiv · Jul 28, 2020 · PreprintBiophysics