Gabriel J. Rocklin, Ph.D.

Affiliations: 
2007-2013 Biophysics University of California, San Francisco, San Francisco, CA 
 2013-2019 Biochemistry University of Washington, Seattle, Seattle, WA 
 2019- Pharmacology Northwestern University Feinberg School of Medicine, Chicago, IL, United States 
Area:
protein folding and stability
Website:
www.rocklinlab.org
Google:
"Gabriel Rocklin"

Parents

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Ken A. Dill grad student 2013 UCSF
 (Predicting charged protein-ligand binding affinities using free energy calculations.)
Brian K. Shoichet grad student 2013 UCSF
 (Predicting charged protein-ligand binding affinities using free energy calculations.)
David Baker post-doc University of Washington
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Publications

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Ferrari ÁJR, Dixit SM, Thibeault J, et al. (2025) Large-scale discovery, analysis, and design of protein energy landscapes. Biorxiv : the Preprint Server For Biology
Olshefsky A, Benasutti H, Sylvestre M, et al. (2023) In vivo selection of synthetic nucleocapsids for tissue targeting. Proceedings of the National Academy of Sciences of the United States of America. 120: e2306129120
Tsuboyama K, Dauparas J, Chen J, et al. (2023) Mega-scale experimental analysis of protein folding stability in biology and design. Nature
Singer JM, Novotney S, Strickland D, et al. (2022) Large-scale design and refinement of stable proteins using sequence-only models. Plos One. 17: e0265020
Chevalier A, Silva DA, Rocklin GJ, et al. (2017) Massively parallel de novo protein design for targeted therapeutics. Nature
Rocklin GJ, Chidyausiku TM, Goreshnik I, et al. (2017) Global analysis of protein folding using massively parallel design, synthesis, and testing. Science (New York, N.Y.). 357: 168-175
Lemak A, Rocklin GJ, Houliston S, et al. (2017) Solution NMR structure of the de novo mini protein HEEH_rd4_0097 Journal of Back and Musculoskeletal Rehabilitation
Rocklin GJ, Chidyausiku T, Goreshnik I, et al. (2017) High-Throughput Protein Design Reveals Quantitative Protein Stability Requirements Biophysical Journal. 112: 194a
Bhardwaj G, Mulligan VK, Bahl CD, et al. (2016) Accurate de novo design of hyperstable constrained peptides. Nature
Mobley DL, Rocklin GJ. (2014) Predicting Charged-Ligand Binding from Molecular Simulations Biophysical Journal. 106: 250a
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