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Recommendations for the article VAMPnets for deep learning of molecular kinetics
| Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
|---|---|---|---|---|---|---|
| visibility_off | Author Correction: VAMPnets for deep learning of molecular kinetics | Andreas Mardt, Luca Pasquali, Hao Wu, F. Noé | 2018-10-22 | Nature Communications | 24 | 61 |
| visibility_off | DeepWEST: Deep Learning of Kinetic Models with the Weighted Ensemble Simulation Toolkit for Enhanced Sampling. | Anupam Anand Ojha, Saumya Thakur, Surl-Hee Ahn, Rommie E. Amaro | 2023-01-31 | Journal of chemical theory and computation | 7 | 53 |
| visibility_off | GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules | Mahdi Ghorbani, Samarjeet Prasad, Jeffery B. Klauda, B. Brooks | 2022-01-12 | The Journal of chemical physics | 22 | 64 |
| visibility_off | Mind reading of the proteins: Deep-learning to forecast molecular dynamics | C. Gupta, J. Cava, Daipayan Sarkar, Eric A. Wilson, J. Vant, Steven Murray, A. Singharoy, S. Karmaker | 2020-07-29 | bioRxiv | 4 | 23 |
| visibility_off | Nonlinear Discovery of Slow Molecular Modes using Hierarchical Dynamics Encoders | Wei Chen, Hythem Sidky, Andrew L. Ferguson | 2019-02-09 | The Journal of chemical physics | 77 | 35 |
| visibility_off | Molecular latent space simulators | Hythem Sidky, Wei Chen, Andrew L. Ferguson | 2020-07-01 | Chemical Science | 31 | 35 |
| visibility_off | Machine Learning in Molecular Dynamics Simulations of Biomolecular Systems | Christopher Kolloff, Simon Olsson | 2022-05-06 | ArXiv | 2 | 4 |
| visibility_off | Markov field models: Scaling molecular kinetics approaches to large molecular machines. | Tim Hempel, Simon Olsson, Frank No'e | 2022-06-23 | Current opinion in structural biology | 6 | 9 |
| visibility_off | Predicting Future Kinetic States of Physicochemical Systems Using Generative Pre-trained Transformer | Palash Bera, Jagannath Mondal | 2024-06-19 | bioRxiv | 0 | 4 |
| visibility_off | Markov State Models: From an Art to a Science. | B. Husic, V. Pande | 2018-02-02 | Journal of the American Chemical Society | 583 | 103 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |