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Personal profile

Research Interests

Faculty Member, Center for Synthetic Biology We develop high-throughput methods for protein biophysics and protein design, with a focus on protein therapeutics. Key questions include: How do protein sequence and structure determine folding stability, conformational dynamics, and resistance to aggregation/degradation-inducing stresses? Can we quantitatively predict these protein "phenotypes" from genotype (sequence) using computational modeling? How do we design protein therapeutics that optimize these phenotypes for a particular application? To answer these questions, we combine large-scale de novo computational protein design with high-throughput methods such as display selections, mass spectrometry proteomics, and next-generation sequencing, enabling us to test thousands of proteins in parallel. By combining these technologies, we seek to develop efficient "design-test-analyze" cycles, iterating our way to an improved, quantitative understanding of protein biophysics and more advanced protein therapeutics.

Training Experience

2019Postdoctoral Fellowship, University of Washington, Institute for Protein Design

Education/Academic qualification

PhD, University Of California-San Francisco

… → 2013

Research interests

  • Biochemistry: Proteins
  • Bioengineering
  • Biologic Therapies
  • Biophysics
  • Computational Biology
  • Drug Discovery
  • Proteins / Macromolecules
  • Proteomics

Fingerprint Dive into the research topics where Gabriel Rocklin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output 2006 2017

  • 698 Citations
  • 10 Article
82 Citations (Scopus)

Global analysis of protein folding using massively parallel design, synthesis, and testing

Rocklin, G., Chidyausiku, T. M., Goreshnik, I., Ford, A., Houliston, S., Lemak, A., Carter, L., Ravichandran, R., Mulligan, V. K., Chevalier, A., Arrowsmith, C. H. & Baker, D., Jul 14 2017, In : Science. 357, 6347, p. 168-175 8 p.

Research output: Contribution to journalArticle

Open Access
Protein Folding
Peptide Hydrolases
Costs and Cost Analysis
80 Citations (Scopus)

Massively parallel de novo protein design for targeted therapeutics

Chevalier, A., Silva, D. A., Rocklin, G., Hicks, D. R., Vergara, R., Murapa, P., Bernard, S. M., Zhang, L., Lam, K. H., Yao, G., Bahl, C. D., Miyashita, S. I., Goreshnik, I., Fuller, J. T., Koday, M. T., Jenkins, C. M., Colvin, T., Carter, L., Bohn, A., Bryan, C. M. & 8 others, Fernández-Velasco, D. A., Stewart, L., Dong, M., Huang, X., Jin, R., Wilson, I. A., Fuller, D. H. & Baker, D., Oct 5 2017, In : Nature. 550, 7674, p. 74-79 6 p.

Research output: Contribution to journalArticle

Human Influenza
99 Citations (Scopus)

Accurate de novo design of hyperstable constrained peptides

Bhardwaj, G., Mulligan, V. K., Bahl, C. D., Gilmore, J. M., Harvey, P. J., Cheneval, O., Buchko, G. W., Pulavarti, S. V. S. R. K., Kaas, Q., Eletsky, A., Huang, P. S., Johnsen, W. A., Greisen, P. J., Rocklin, G., Song, Y., Linsky, T. W., Watkins, A., Rettie, S. A., Xu, X., Carter, L. P. & 7 others, Bonneau, R., Olson, J. M., Coutsias, E., Correnti, C. E., Szyperski, T., Craik, D. J. & Baker, D., Jan 1 2016, In : Nature. 538, 7625, p. 329-335 7 p.

Research output: Contribution to journalArticle

Pharmaceutical Preparations
Hot Temperature
31 Citations (Scopus)

Blind prediction of charged ligand binding affinities in a model binding site

Rocklin, G., Boyce, S. E., Fischer, M., Fish, I., Mobley, D. L., Shoichet, B. K. & Dill, K. A., Nov 15 2013, In : Journal of Molecular Biology. 425, 22, p. 4569-4583 15 p.

Research output: Contribution to journalArticle

Binding Sites
Static Electricity
Cytochrome-c Peroxidase
87 Citations (Scopus)
Free energy
free energy