Machine learning for protein folding and dynamics

Machine learning for protein folding and dynamics

22 November 2019

Frank Noé

Gianni De Fabritiis

Papers citing "Machine learning for protein folding and dynamics"

7 / 7 papers shown

Title
Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction Kaiyuan Yang Houjing Huang Olafs Vandans A. Murali Fujia Tian R. Yap Liang Dai 17 10 0 27 Nov 2022
Transferring Chemical and Energetic Knowledge Between Molecular Systems with Machine Learning Sajjad Heydari S. Raniolo L. Livi V. Limongelli 27 2 0 06 May 2022
BIGDML: Towards Exact Machine Learning Force Fields for Materials H. E. Sauceda Luis E Gálvez-González Stefan Chmiela L. O. Paz-Borbón K. Müller A. Tkatchenko AI4CE 34 47 0 08 Jun 2021
Artificial intelligence techniques for integrative structural biology of intrinsically disordered proteins A. Ramanathan Henglong Ma Akash Parvatikar C. Chennubhotla AI4CE 23 40 0 01 Dec 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 29 159 0 16 Jul 2020
Ensemble Learning of Coarse-Grained Molecular Dynamics Force Fields with a Kernel Approach Jiang Wang Stefan Chmiela K. Müller Frank Noè C. Clementi 8 46 0 04 May 2020
Estimation and uncertainty of reversible Markov models Benjamin Trendelkamp-Schroer Hao Wu Fabian Paul Frank Noé 76 129 0 19 Jul 2015