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BH

Brooke E. Husic

Princeton University US

ORCID 0000-0002-8020-3750
43
Publications
3,359
Citations
20
H-Index
24
i10-Index
32.0
2yr Mean Cite
-
Cite/Paper
Data combined from OpenAlex + Semantic Scholar. OA = OpenAlex S2 = Semantic Scholar
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Publication & Citation Trends

Most Cited Works

Markov State Models: From an Art to a Science
Brooke E. Husic, Vijay S. Pande
Journal of the American Chemical Society 2018
923
PotentialNet for Molecular Property Prediction OA
Evan N. Feinberg, Debnil Sur, Zhenqin Wu, Brooke E. Husic, Huanghao Mai +5 more
ACS Central Science 2018
502
Unsupervised Learning Methods for Molecular Simulation Data OA
Aldo Glielmo, Brooke E. Husic, Álex Rodríguez, Cecilia Clementi, Frank Noé +1 more
Chemical Reviews 2021
392
MSMBuilder: Statistical Models for Biomolecular Dynamics OA
Matthew P. Harrigan, Mohammad M. Sultan, Carlos X. Hernández, Brooke E. Husic, Peter Eastman +4 more
Biophysical Journal 2017
292
Variational encoding of complex dynamics OA
Carlos X. Hernández, Hannah K. Wayment-Steele, Mohammad M. Sultan, Brooke E. Husic, Vijay S. Pande
Physical review. E 2018
182

Publications

43 total

Machine learning coarse-grained potentials of protein thermodynamics PDF

Maciej Majewski, Adrià Pérez, Philipp Thölke, Stefan H. Doerr, Nicholas E. Charron et al. - Nature Communications, 2023
Cited by 104 OpenAlex

Validation of a Non-invasive Prenatal Test for Fetal RhD, C, c, E, Kell and FyA Antigens. OA

Brian D. Alford, B. P. Landry, Sarah Hou, Xavier Bower, M. Anna - medRxiv, 2023
Cited by 1 Semantic Scholar

Navigating protein landscapes with a machine-learned transferable coarse-grained model

N. Charron, Klara Bonneau, Aldo S. Pasos-Trejo, Andrea Guljas, Yaoyi Chen - Nature Chemistry, 2023
Cited by 49 Semantic Scholar

Machine learning implicit solvation for molecular dynamics PDF

Yaoyi Chen, Andreas Krämer, Nicholas E. Charron, Brooke E. Husic, Cecilia Clementi et al. - Refubium (Universitätsbibliothek der Freien Universität Berlin), 2022
Cited by 70 OpenAlex

Unsupervised Learning Methods for Molecular Simulation Data PDF

Aldo Glielmo, Brooke E. Husic, Álex Rodríguez, Cecilia Clementi, Frank Noé et al. - Chemical Reviews, 2021
Cited by 392 OpenAlex

Multi-body effects in a coarse-grained protein force field PDF

Jiang Wang, Nicholas E. Charron, Brooke E. Husic, Simon Olsson, Frank Noé et al. - The Journal of Chemical Physics, 2021
Cited by 56 OpenAlex

Deference Done Better

Kevin Dorst, B. A. Levinstein, Bernhard Salow, B. Husic, Branden Fitelson - Philosophical Perspectives, 2021
Cited by 25 Semantic Scholar

Deeptime: a Python library for machine learning dynamical models from time series data OA

Moritz Hoffmann, Martin K. Scherer, Tim Hempel, Andreas Mardt, Brian M. de Silva - Machine Learning: Science and Technology, 2021
Cited by 146 Semantic Scholar

Coarse graining molecular dynamics with graph neural networks PDF

Brooke E. Husic, Nicholas E. Charron, Dominik Lemm, Jiang Wang, Adrià Pérez et al. - Refubium (Universitätsbibliothek der Freien Universität Berlin), 2020
Cited by 166 OpenAlex

Energy Landscapes for Proteins: From Single Funnels to Multifunctional Systems PDF

Konstantin Röder, Jerelle A. Joseph, Brooke E. Husic, David J. Wales - Advanced Theory and Simulations, 2019
Cited by 78 OpenAlex

Research Topics

Protein Structure and Dynamics (25) Machine Learning in Materials Science (11) Enzyme Structure and Function (10) Computational Drug Discovery Methods (7) Mass Spectrometry Techniques and Applications (7)

Frequent Co-Authors

VI
Vijay S. Pande
8 joint publications
FR
Frank Noé
6 joint publications
CE
Cecilia Clementi
5 joint publications
NI
Nicholas E. Charron
4 joint publications
MO
Mohammad M. Sultan
3 joint publications
RO
Robert T. McGibbon
3 joint publications

Affiliations

Institució Catalana de Recerca i Estudis Avançats
ES 2020 - 2020
Pompeu Fabra University
ES 2020 - 2020
Princeton University
US 2025 - 2021
University of Cambridge
GB 2019 - 2019
Center for Theoretical Biological Physics
US 2020 - 2020

External Profiles

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