| MSMBuilder: statistical models for biomolecular dynamics MP Harrigan, MM Sultan, CX Hernández, BE Husic, P Eastman, ... Biophysical journal 112 (1), 10-15, 2017 | 277 | 2017 |
| Allosteric pathways in imidazole glycerol phosphate synthase I Rivalta, MM Sultan, NS Lee, GA Manley, JP Loria, VS Batista Proceedings of the National Academy of Sciences 109 (22), E1428-E1436, 2012 | 222 | 2012 |
| Variational encoding of complex dynamics CX Hernández, HK Wayment-Steele, MM Sultan, BE Husic, VS Pande Physical Review E 97 (6), 062412, 2018 | 185 | 2018 |
| tICA-metadynamics: accelerating metadynamics by using kinetically selected collective variables M M. Sultan, VS Pande Journal of chemical theory and computation 13 (6), 2440-2447, 2017 | 165 | 2017 |
| Automated design of collective variables using supervised machine learning MM Sultan, VS Pande The Journal of chemical physics 149 (9), 2018 | 135 | 2018 |
| Transferable neural networks for enhanced sampling of protein dynamics MM Sultan, HK Wayment-Steele, VS Pande Journal of chemical theory and computation 14 (4), 1887-1894, 2018 | 122 | 2018 |
| Optimized parameter selection reveals trends in Markov state models for protein folding BE Husic, RT McGibbon, MM Sultan, VS Pande The Journal of chemical physics 145 (19), 2016 | 78 | 2016 |
| Towards simple kinetic models of functional dynamics for a kinase subfamily MM Sultan, G Kiss, VS Pande Nature chemistry 10 (9), 903-909, 2018 | 64 | 2018 |
| Millisecond dynamics of BTK reveal kinome-wide conformational plasticity within the apo kinase domain MM Sultan, RA Denny, R Unwalla, F Lovering, VS Pande Nature Scientific reports 7, 2017 | 55 | 2017 |
| Electrostatic effects on proton coupled electron transfer in oxomanganese complexes inspired by the oxygen-evolving complex of photosystem II M Amin, L Vogt, S Vassiliev, I Rivalta, MM Sultan, D Bruce, GW Brudvig, ... The Journal of Physical Chemistry B 117 (20), 6217-6226, 2013 | 47 | 2013 |
| Osprey: Hyperparameter optimization for machine learning RT McGibbon, CX Hernández, MP Harrigan, S Kearnes, MM Sultan, ... Journal of Open Source Software 1 (5), 34, 2016 | 46 | 2016 |
| Using deep learning for segmentation and counting within microscopy data CX Hernández, MM Sultan, VS Pande arXiv preprint arXiv:1802.10548, 2018 | 45 | 2018 |
| Understanding protein dynamics with L1-regularized reversible hidden Markov models R McGibbon, B Ramsundar, M Sultan, G Kiss, V Pande International Conference on Machine Learning, 1197-1205, 2014 | 29 | 2014 |
| Automatic selection of order parameters in the analysis of large scale molecular dynamics simulations MM Sultan, G Kiss, D Shukla, VS Pande Journal of chemical theory and computation 10 (12), 5217-5223, 2014 | 28 | 2014 |
| A minimum variance clustering approach produces robust and interpretable coarse-grained models BE Husic, KA McKiernan, HK Wayment-Steele, MM Sultan, VS Pande Journal of chemical theory and computation 14 (2), 1071-1082, 2018 | 23 | 2018 |
| Transfer learning from Markov models leads to efficient sampling of related systems MM Sultan, VS Pande The Journal of Physical Chemistry B 122 (21), 5291-5299, 2017 | 23 | 2017 |
| A pooled cell painting CRISPR screening platform enables de novo inference of gene function by self-supervised deep learning S Sivanandan, B Leitmann, E Lubeck, MM Sultan, P Stanitsas, N Ranu, ... bioRxiv, 2023.08. 13.553051, 2023 | 16 | 2023 |
| MSMExplorer: data visualizations for biomolecular dynamics CX Hernández, MP Harrigan, MM Sultan, VS Pande Journal of Open Source Software 2 (12), 188, 2017 | 15 | 2017 |
| DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries K Shmilovich, B Chen, T Karaletsos, MM Sultan Journal of Chemical Information and Modeling 63 (9), 2719-2727, 2023 | 14 | 2023 |
| Regression modeling on DNA encoded libraries R Ma, GHS Dreiman, F Ruggiu, AJ Riesselman, B Liu, K James, M Sultan, ... NeurIPS 2021 AI for Science Workshop, 2021 | 12 | 2021 |
Vijay PandeAndreessen Horowitz, Stanford UniversityVerified email at stanford.edu
