239 citations · 473 across the 10 of their papers we have counts for
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q-bio.BM2022★ 126 cited
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics
Maciej Majewski, Adrià Pérez, Philipp Thölke +7
A generalized understanding of protein dynamics is an unsolved scientific problem, the solution of which is critical to the interpretation of the structure-function relationships t…
q-bio.BM2022★ 2 cited
NNP/MM: Accelerating molecular dynamics simulations with machine learning potentials and molecular mechanic
Raimondas Galvelis, Alejandro Varela-Rial, Stefan Doerr +5
Machine learning potentials have emerged as a means to enhance the accuracy of biomolecular simulations. However, their application is constrained by the significant computational…