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Brian Kuhlman

Oliver Smithies investigator, Professor

Research: Protein Design, Protein Therapeutics, and Molecular Modeling

Oliver Smithies investigator, Professor of Biochemistry and Biophysics
Co-Director, UNC Molecular and Cellular Biophysics Program
(PhD – State University of New York, Stony Brook)

ACCEPTING STUDENTS

Trained Faculty Mentor endorsed by Office of Graduate Ed UNC Chapel Hill

HONORS & AWARDS

  • UNC Excellence in Basic Science Mentoring Award, 2020
  • ASBMB DeLano Award for Computational Biosciences, 2019
  • UNC Oliver Smithies Investigator, 2019
  • W.M. Keck Foundation Distinguished Young Scholar in Medical Research, 2005-2010
  • Searle Scholar, 2004-2007
  • Beckman Young Investigator, 2004-2007
  • AAAS Newcomb Cleveland Prize, 2004
  • Foresight Institute Feynman Prize in Nanotechnology, 2004
  • Alfred P. Sloan Fellow, 2004

RESEARCH OVERVIEW

Computational Protein Design / Protein-Protein Interactions / Antibodies / Structural Biology / Optogenetics / Rosetta

What is protein design? Most ambitiously it is the creation of novel proteins to perform useful tasks. At a more modest level it might be identifying amino acid mutations that enhance protein stability, alter binding specificity, or increase solubility.

How do we design proteins? We are co-developers of a molecular modeling program called Rosetta that identifies low energy sequences for a target structure or interface. In essence, it is like solving a jigsaw puzzle. The pieces, in this case amino acids, must fit together so that there are no overlaps and little empty space. In addition, specific interactions such as hydrogen bonds must be satisfied.

What have we designed in the past? In the past we have used our program to enhance protein stabilities, design new protein structures, manipulate protein-protein interactions, and engineer protein switches.

What would we like to design in the future? Currently we are focusing on a variety of design goals including the design of light-activatable proteins, new strategies for creating therapeutic antibodies, the de novo design of protein structure.

What techniques do we use? Computer programming (primarily C++ and Python), molecular cloning, protein expression, biophysical analysis of protein-protein interactions (circular dichroism, isothermal titration calorimetry, surface plasmon resonance), directed evolution/yeast display, X-ray crystallography, live cell imaging and microscopy.

RESEARCH TOPICS

Optogenetics. Optogenetics describes the use of genetically encoded light-activatable proteins to control biological processes in living cells. Using a variety of protein engineering techniques, we have created a family of protein switches that can be used to control protein localization with light (see here for relevant papers). We have shown that these proteins can be used to activate GTPase signaling, control cell motility, and turn on gene transcription.

Antibody engineering. Antibodies are invaluable reagents for biological research, and have emerged over the last 20 years as an important class of therapeutic. For the last five year, we have been engaged in a productive collaboration with Eli Lilly focused on the development of new strategies for engineering bispecific antibodies. Bispecific antibodies recognize two antigens simultaneously and can be used to enhance specificity to particular cell types as well as allow the co-localization of different cell types, for instance the recruitment of t-cells to tumor cells in order to fight cancer.

De novo protein design. A long standing area of research in our laboratory is the development of computational methods for designing new protein structures from scratch. These projects allow us to probe the minimal determinants of protein structure, and provides the foundation for building new functional sites in proteins.

Protein interface design. Protein-protein interactions are central to all biological processes, and proteins with new binding properties can be used to manipulate biological pathways for applications in research and medicine. We have developed computational strategies for increasing protein-protein binding affinities, manipulating binding specificities, and creating novel interactions. We have also explored approaches for effectively combining computational predictions with high throughput screening approaches like yeast display and phage display.

Rosetta methods development. Rosetta is a powerful modeling package with modules for protein structure prediction, docking and design. It is being developed by a consortium of over 30 universities and is continually being modified to improve performance and expand capabilities. Our laboratory has played an important role in parameterizing the current energy functions used by Rosetta, and we are now focused on enhanced strategies for parallel computing.

PUBLICATIONS pubmed.png (click for Full Publication List)

  • Maguire JB, Haddox HK, Strickland D, Halabiya SF, Coventry B, Griffin JR, Pulavarti SVSRK, Cummins M, Thieker DF, Klavins E, Szyperski T, DiMaio F, Baker D, Kuhlman B. Perturbing the energy landscape for improved packing during computational protein design. Proteins. 2020 Nov 29. doi: 10.1002/prot.26030. Epub ahead of print. PMID: 33249652.
  •  Froning K, Maguire J, Sereno A, Huang F, Chang S, Weichert K, Frommelt AJ, Dong J, Wu X, Austin H, Conner EM, Fitchett JR, Heng AR, Balasubramaniam D, Hilgers MT, Kuhlman B, Demarest SJ. Computational stabilization of T cell receptors allows pairing with antibodies to form bispecifics. Nat Commun. 2020 May 11;11(1):2330. doi: 10.1038/s41467-020-16231-7. PMID: 32393818; PMCID: PMC7214467.
  •  Kuhlman B. Designing protein structures and complexes with the molecular modeling program Rosetta. J Biol Chem. 2019 Dec 13;294(50):19436-19443. doi: 10.1074/jbc.AW119.008144. Epub 2019 Nov 7. PMID: 31699898; PMCID: PMC6916497.
  •  Kuhlman B, Bradley P. Advances in protein structure prediction and design. Nat Rev Mol Cell Biol. 2019 Nov;20(11):681-697. doi: 10.1038/s41580-019-0163-x. Epub 2019 Aug 15. PMID: 31417196; PMCID: PMC7032036.
  •  Studer S, Hansen DA, Pianowski ZL, Mittl PRE, Debon A, Guffy SL, Der BS, Kuhlman B, Hilvert D. Evolution of a highly active and enantiospecific metalloenzyme from short peptides. Science. 2018 Dec 14;362(6420):1285-1288. doi: 10.1126/science.aau3744. PMID: 30545884.
  •  Kudlacek ST, Premkumar L, Metz SW, Tripathy A, Bobkov AA, Payne AM, Graham S, Brackbill JA, Miley MJ, de Silva AM, Kuhlman B. Physiological temperatures reduce dimerization of dengue and Zika virus recombinant envelope proteins. J Biol Chem. 2018 Jun 8;293(23):8922-8933. doi: 10.1074/jbc.RA118.002658. Epub 2018 Apr 20. PMID: 29678884; PMCID: PMC5995514.
  •  Jacobs TM, Williams B, Williams T, Xu X, Eletsky A, Federizon JF, Szyperski T, Kuhlman B. Design of structurally distinct proteins using strategies inspired by evolution. Science. 2016 May 6;352(6286):687-90. doi: 10.1126/science.aad8036. PMID: 27151863; PMCID: PMC4934125.
  • Leaver-Fay A, Froning KJ, Atwell S, Aldaz H, Pustilnik A, Lu F, Huang F, Yuan R, Hassanali S, Chamberlain AK, Fitchett JR, Demarest SJ, Kuhlman B. Computationally Designed Bispecific Antibodies using Negative State Repertoires. Structure. 2016 Apr 5;24(4):641-651. doi: 10.1016/j.str.2016.02.013. Epub 2016 Mar 17. PMID: 26996964; PMCID: PMC4866497.

Lab Contact:

Lab Rooms: 3100D-F Genetic Medicine
Lab Phone: 919-966-6781