Author

N. Pomarici

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Biology Disciplines

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Biophysics· 1

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Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1 Approach:statistical model· 1

Frequent Co-Authors

J. R. Loeffler· 1 shared K. Liedl· 1 shared M. L. Fernandez-Quintero· 1 shared P. Quoika· 1 shared P. Tiwary· 1 shared S. Lee· 1 shared S. Mehdi· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBiophysics

J. R. Loeffler

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1 paper

Recent·Most cited

Learning high-dimensional reaction coordinates of fast-folding proteins using State Predictive Information Bottleneck and Bias Exchange Metadynamics

N. Pomarici, S. Mehdi, P. Quoika, S. Lee, J. R. Loeffler, K. Liedl, P. Tiwary, M. L. Fernandez-Quintero

This study uses AI and enhanced sampling to accelerate protein unfolding simulations by learning high-dimensional reaction coordinates from poor data.

bioRxiv · Jul 24, 2023 · PreprintBiophysics