Michael Feig

Department of Physics, Mathematics and Informatics

Also affiliated with Michigan State University

Biochemistry, Genetics and Molecular BiologyMaterials ScienceEnvironmental Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 27 papers. Top paper: “CHARMM36m: an improved force field for folded and intrinsically disordered proteins”.

CHARMM36m: an improved force field for folded and intrinsically disordered proteins

Nature Methods(2016)10.1038/nmeth.4067

N/A

1.3DataRank · unranked

7372 citations

Sarah Rauscher, Grzegorz Nawrocki, Ting Ran, Michael Feig, Bert L. de Groot +3 more

Inhibitory proteins block substrate access by occupying the active site cleft of Bacillus subtilis intramembrane protease SpoIVFB

eLife(2022)10.7554/elife.74275

N/A

0.345DataRank · unranked

9 citations

Lim Heo, Michael Feig, Lee Kroos, Sandra Olenic

Improved Sampling Strategies for Protein Model Refinement based on Molecular Dynamics Simulation

ChemRxiv(2020)10.26434/chemrxiv.13299197

N/A

0DataRank · unranked

1 citations

Collin F. Arbour, Michael Feig, Lim Heo

Improved Sampling Strategies for Protein Model Refinement based on Molecular Dynamics Simulation

ChemRxiv(2020)10.26434/chemrxiv.13299197.v1

N/A

0DataRank · unranked

0 citations

Collin F. Arbour, Michael Feig, Lim Heo

Reduced efficacy of a Src kinase inhibitor in crowded protein solution

Nature Communications(2021)10.1038/s41467-021-24349-5

N/A

0DataRank · unranked

37 citations

Suyong Re, Grzegorz Nawrocki, Hiraku Oshima, Chiemi Mishima-Tsumagari, Yukako Miyata-Yabuki +6 more

Multi-State Modeling of G-protein Coupled Receptors at Experimental Accuracy

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.26.470086

N/A

0DataRank · unranked

12 citations

Michael Feig, Lim Heo

Inhibitory proteins block substrate access by occupying the active site cleft of Bacillus subtilis intramembrane protease SpoIVFB

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.07.09.451828

N/A

0DataRank · unranked

1 citations

Lim Heo, Michael Feig, Lee Kroos, Sandra Olenic

Charge-driven condensation of RNA and proteins suggests broad role of phase separation in cytoplasmic environments

eLife(2021)10.7554/elife.64004

N/A

0DataRank · unranked

0 citations

Grzegorz Nawrocki, Joyce Goodluck, Ali Akbar Ashkarran, Charles G. Hoogstraten, Lisa J. Lapidus +2 more

Multi‐state modeling of G‐protein coupled receptors at experimental accuracy

Proteins Structure Function and Bioinformatics(2022)10.1002/prot.26382

N/A

0DataRank · unranked

225 citations

Michael Feig, Lim Heo

Molecular Dynamics Simulations of Rhodamine B Zwitterion Diffusion in Polyelectrolyte Solutions

The Journal of Physical Chemistry B(2022)10.1021/acs.jpcb.2c06281

N/A

0DataRank · unranked

16 citations

Zhe He, Bercem Dutagaci, Grzegorz Nawrocki, Michael Feig, Peter K. Walhout

Direct Generation of Protein Conformational Ensembles via Machine Learning

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.18.496675

N/A

0DataRank · unranked

6 citations

Gilberto Valdés‐García, Lim Heo, Michael Feig, Giacomo Janson

Modeling concentration-dependent phase separation processes involving peptides and RNA via residue-based coarse-graining

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.19.504518

N/A

0DataRank · unranked

6 citations

Lim Heo, Lisa J. Lapidus, Michael Feig, Gilberto Valdés‐García

Characterization of RNA Polymerase II Trigger Loop Mutations using Molecular Dynamics Simulations and Machine Learning

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.11.503690

N/A

0DataRank · unranked

2 citations

Bingbing Duan, Chenxi Qiu, Craig D. Kaplan, Michael Feig, Bercem Dutagaci

One bead per residue can describe all-atom protein structures

Structure(2023)10.1016/j.str.2023.10.013

N/A

0DataRank · unranked

65 citations

Michael Feig, Lim Heo

The effect of polymer length in liquid-liquid phase separation

Cell Reports Physical Science(2023)10.1016/j.xcrp.2023.101415

N/A

0DataRank · unranked

19 citations

Kasun Gamage, Casey Smith, Karina Martirosova, Michael Feig, Lisa J. Lapidus +1 more

Characterization of RNA polymerase II trigger loop mutations using molecular dynamics simulations and machine learning

PLoS Computational Biology(2023)10.1371/journal.pcbi.1010999

N/A

0DataRank · unranked

8 citations

Bingbing Duan, Chenxi Qiu, Craig D. Kaplan, Michael Feig, Bercem Dutagaci

Structural basis of transcription: RNA Polymerase II substrate binding and metal coordination at 3.0 Å using a free-electron laser

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.22.559052

N/A

0DataRank · unranked

1 citations

Christopher O. Barnes, Simon C. Weiss, Bercem Dutagaci, Chenxi Qiu, Michael Feig +6 more

CHARMM at 45: Enhancements in Accessibility, Functionality, and Speed

The Journal of Physical Chemistry B(2024)10.1021/acs.jpcb.4c04100

N/A

0DataRank · unranked

116 citations

Steven L. Austin, Arnaud Blondel, Eric D. Boittier, Stefan Boresch, Matthias Buck +68 more

Transferable deep generative modeling of intrinsically disordered protein conformations

PLoS Computational Biology(2024)10.1371/journal.pcbi.1012144

N/A

0DataRank · unranked

55 citations

Michael Feig, Giacomo Janson

Structural basis of transcription: RNA polymerase II substrate binding and metal coordination using a free-electron laser

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2318527121

N/A

0DataRank · unranked

16 citations

Christopher O. Barnes, Simon C. Weiss, Bercem Dutagaci, Chenxi Qiu, Michael Feig +6 more

Transferable deep generative modeling of intrinsically disordered protein conformations

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.08.579522

N/A

0DataRank · unranked

6 citations

Michael Feig, Giacomo Janson

COCOMO2: A coarse-grained model for interacting folded and disordered proteins

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.29.620916

N/A

0DataRank · unranked

6 citations

Divya Bartley, Lisa J. Lapidus, Michael Feig, Alexander Jussupow

Generation of protein dynamics by machine learning

Current Opinion in Structural Biology(2025)10.1016/j.sbi.2025.103115

N/A

0DataRank · unranked

13 citations

Michael Feig, Giacomo Janson

Deep generative modeling of temperature-dependent structural ensembles of proteins

Communications Chemistry(2025)10.1038/s42004-025-01737-2

N/A

0DataRank · unranked

5 citations

Alexander Jussupow, Michael Feig, Giacomo Janson

Structure Characterization of Bacterial Microcompartment Shells via X-ray Scattering and Coordinate Modeling: Evidence for Adventitious Capture of Cytoplasmic Proteins

ACS Applied Bio Materials(2025)10.1021/acsabm.4c01621

N/A

0DataRank · unranked

1 citations

Alexander Jussupow, Nina Ponomarenko, Thomas D. Grant, Nicholas M. Tefft, Neetu Singh Yadav +9 more

Molecular Modeling and Molecular Dynamics Simulation of a Packed and Intact Bacterial Microcompartment

ChemRxiv(2025)10.26434/chemrxiv-2025-1lktx

N/A

0DataRank · unranked

0 citations

Neetu Singh Yadav, Alexander Jussupow, Cheryl A. Kerfeld, Michael Feig, Josh V. Vermaas +1 more

Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Proteins by Machine Learning and Physics-Based Refinement

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.03.25.008904

N/A

0DataRank · unranked

97 citations

Michael Feig, Lim Heo