Bowman, Gregory R.
University of Pennsylvania
25 papers on CoChatORCID 0000-0002-2083-4892
Most cited papers
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Everything you wanted to know about Markov State Models but were afraid to ask
Pande, V. S., Beauchamp, K., & Bowman, G. R. (2010) · Methods
Protein Structure and DynamicsAdvanced Physical and Chemical Molecular Interactions
Cited by 698
- Verified
Progress and challenges in the automated construction of Markov state models for full protein systems
Bowman, G. R., Beauchamp, K. A., Boxer, G., & Pande, V. S. (2009) · The Journal of Chemical Physics
Protein Structure and DynamicsAdvanced Physical and Chemical Molecular Interactions
Cited by 396
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MSMBuilder2: Modeling Conformational Dynamics on the Picosecond to Millisecond Scale
Beauchamp, K. A., Bowman, G. R., Lane, T. J., Maibaum, L., Haque, I. S., & Pande, V. S. (2011) · Journal of Chemical Theory and Computation
Protein Structure and DynamicsAdvanced Physical and Chemical Molecular Interactions
Cited by 372
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Equilibrium fluctuations of a single folded protein reveal a multitude of potential cryptic allosteric sites
Bowman, G. R., & Geissler, P. L. (2012) · Proceedings of the National Academy of Sciences
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 279
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SARS-CoV-2 infects the human kidney and drives fibrosis in kidney organoids
Jansen, J., Reimer, K. C., Nagai, J. S., Varghese, F. S., Overheul, G. J., de Beer, M., Roverts, R., Daviran, D., Fermin, L. A. S., Willemsen, B., et al. (2022) · Cell Stem Cell
COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research
Cited by 259
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Dynamics of an Intrinsically Disordered Protein Reveal Metastable Conformations That Potentially Seed Aggregation
Qiao, Q., Bowman, G. R., & Huang, X. (2013) · Journal of the American Chemical Society
Protein Structure and DynamicsAlzheimer's disease research and treatments
Cited by 182
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Slow Unfolded-State Structuring in Acyl-CoA Binding Protein Folding Revealed by Simulation and Experiment
Voelz, V. A., Jäger, M., Yao, S., Chen, Y., Zhu, L., Waldauer, S. A., Bowman, G. R., Friedrichs, M., Bakajin, O., Lapidus, L. J., et al. (2012) · Journal of the American Chemical Society
Protein Structure and DynamicsRNA and protein synthesis mechanisms
Cited by 140
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Investigating How Peptide Length and a Pathogenic Mutation Modify the Structural Ensemble of Amyloid Beta Monomer
Lin, Y.-S., Bowman, G. R., Beauchamp, K. A., & Pande, V. S. (2012) · Biophysical Journal
Alzheimer's disease research and treatmentsProtein Structure and Dynamics
Cited by 111
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Structure and Dynamics of PD-L1 and an Ultra-High-Affinity PD-1 Receptor Mutant
Pascolutti, R., Sun, X., Kao, J., Maute, R. L., Ring, A. M., Bowman, G. R., & Kruse, A. C. (2016) · Structure
Cancer Immunotherapy and BiomarkersProtein Structure and Dynamics
Cited by 102
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Structural Insight into RNA Hairpin Folding Intermediates
Bowman, G. R., Huang, X., Yao, Y., Sun, J., Carlsson, G., Guibas, L. J., & Pande, V. S. (2008) · Journal of the American Chemical Society
RNA and protein synthesis mechanismsProtein Structure and Dynamics
Cited by 101
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SARS-CoV-2 Nsp16 activation mechanism and a cryptic pocket with pan-coronavirus antiviral potential
Vithani, N., Ward, M. D., Zimmerman, M. I., Novak, B., Borowsky, J. H., Singh, S., & Bowman, G. R. (2020) · Biophysical Journal
SARS-CoV-2 and COVID-19 ResearchProtein Structure and Dynamics
Cited by 84
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SARS-CoV-2 Nsp16 activation mechanism and a cryptic pocket with pan-coronavirus antiviral potential
Vithani, N., Ward, M. D., Zimmerman, M. I., Novak, B., Borowsky, J. H., Singh, S., & Bowman, G. R. (2021) · Biophysical Journal
SARS-CoV-2 and COVID-19 ResearchProtein Structure and Dynamics
Cited by 84
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Improved coarse-graining of Markov state models via explicit consideration of statistical uncertainty
Bowman, G. R. (2012) · The Journal of Chemical Physics
Protein Structure and DynamicsAdvanced Physical and Chemical Molecular Interactions
Cited by 76
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Hierarchical Nyström methods for constructing Markov state models for conformational dynamics
Yao, Y., Cui, R. Z., Bowman, G. R., Silva, D.-A., Sun, J., & Huang, X. (2013) · The Journal of Chemical Physics
Protein Structure and DynamicsAdvanced Physical and Chemical Molecular Interactions
Cited by 69
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Quantitative comparison of alternative methods for coarse-graining biological networks
Bowman, G. R., Meng, L., & Huang, X. (2013) · The Journal of Chemical Physics
Protein Structure and DynamicsAdvanced Physical and Chemical Molecular Interactions
Cited by 55
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Apolipoprotein E4 has extensive conformational heterogeneity in lipid-free and lipid-bound forms
Stuchell-Brereton, M. D., Zimmerman, M. I., Miller, J. J., Mallimadugula, U. L., Incicco, J. J., Roy, D., Smith, L. G., Cubuk, J., Baban, B., DeKoster, G. T., et al. (2023) · Proceedings of the National Academy of Sciences
Alzheimer's disease research and treatmentsProtein Structure and Dynamics
Cited by 48
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Extensive conformational heterogeneity within protein cores
Bowman, G. R., & Geissler, P. L. (2014) · The Journal of Physical Chemistry B
Protein Structure and DynamicsAdvanced Physical and Chemical Molecular Interactions
Cited by 38
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Advancements in APOE and dementia research: Highlights from the 2023 AAIC Advancements: APOE conference
Kloske, C. M., Belloy, M. E., Blue, E. E., Bowman, G. R., Carrillo, M. C., Chen, X., Chiba‐Falek, O., Davis, A. A., Paolo, G. D., Garretti, F., et al. (2024) · Alzheimer's & Dementia
Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research
Cited by 33
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Conformational distributions of isolated myosin motor domains encode their mechanochemical properties
Porter, J. R., Meller, A., Zimmerman, M. I., Greenberg, M. J., & Bowman, G. R. (2020) · eLife
Protein Structure and DynamicsCardiomyopathy and Myosin Studies
Cited by 31
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Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm
Kshirsagar, M., Meller, A., Humphreys, I. R., Sledzieski, S., Xu, Y., Dodhia, R., Horvitz, E., Berger, B., Bowman, G. R., Ferres, J. L., et al. (2025) · Nature Communications
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 23
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Rapid and accurate prediction of protein homo-oligomer symmetry with Seq2Symm
Kshirsagar, M., Meller, A., Humphreys, I., Sledzieski, S., Xu, Y., Dodhia, R., Horvitz, E., Berger, B., Bowman, G., Ferres, J. L., et al. (2024) · Nature Communications
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 22
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Deep Mining of the Human Antibody Repertoire Identifies Frequent and Genetically Diverse CDRH3 Topologies Targetable by Vaccination
Habib, R., Solieva, S. O., Lin, Z. J., Ghosh, S., Bayruns, K., Singh, M., Agostino, C. J., Tursi, N. J., Sowers, K. J., Huang, J., et al. (2024) · Proceedings of the National Academy of Sciences
HIV Research and TreatmentMonoclonal and Polyclonal Antibodies Research
Cited by 8
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How Well Can AI and Physics-Based Simulations Predict the Probability a Cryptic Pocket Is Open?
Zhang, S., Miller, J. J., & Bowman, G. R. (2026) · Journal of Chemical Theory and Computation
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 7
- Verified
Cooperative changes in solvent exposure identify cryptic pockets, conformational switches, and allosteric coupling
Porter, J. R., Moeder, K. E., Sibbald, C. A., Zimmerman, M. I., Hart, K. M., Greenberg, M. J., & Bowman, G. R. (2018) · Acta Crystallographica Section A Foundations and Advances
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 3
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