New Results
Direct Generation of Protein Conformational Ensembles via Machine Learning
Giacomo Janson, Gilberto Valdes-Garcia, Lim Heo, View ORCID ProfileMichael Feig
doi: https://doi.org/10.1101/2022.06.18.496675
Giacomo Janson
1Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
Gilberto Valdes-Garcia
1Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
Lim Heo
1Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
Michael Feig
1Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
Article usage
Posted June 19, 2022.
Direct Generation of Protein Conformational Ensembles via Machine Learning
Giacomo Janson, Gilberto Valdes-Garcia, Lim Heo, Michael Feig
bioRxiv 2022.06.18.496675; doi: https://doi.org/10.1101/2022.06.18.496675
Subject Area
Subject Areas
- Biochemistry (11571)
- Bioengineering (8622)
- Bioinformatics (28868)
- Biophysics (14803)
- Cancer Biology (11941)
- Cell Biology (17168)
- Clinical Trials (138)
- Developmental Biology (9302)
- Ecology (14019)
- Epidemiology (2067)
- Evolutionary Biology (18128)
- Genetics (12145)
- Genomics (16616)
- Immunology (11707)
- Microbiology (27692)
- Molecular Biology (11387)
- Neuroscience (60096)
- Paleontology (447)
- Pathology (1847)
- Pharmacology and Toxicology (3184)
- Physiology (4878)
- Plant Biology (10278)
- Synthetic Biology (2849)
- Systems Biology (7289)
- Zoology (1619)