Brian Kuhlman

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"Brian Kuhlman"

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Alexander Matthew Payne research assistant 2017-2019 UNC Chapel Hill (Microtree)
Matthew J. O'Meara grad student UNC Chapel Hill (Computer Science Tree)
Frank Teets grad student (Microtree)
Joseph S Harrison post-doc UNC Chapel Hill (Microtree)
Xavier I. Ambroggio post-doc 2004-2008 (Cell Biology Tree)
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Publications

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Guffy SL, Pulavarti SVSRK, Harrison J, et al. (2023) Inside-Out Design of Zinc-Binding Proteins with Non-Native Backbones. Biochemistry
Thieker DF, Maguire JB, Kudlacek ST, et al. (2022) Stabilizing proteins, simplified: A Rosetta-based webtool for predicting favorable mutations. Protein Science : a Publication of the Protein Society. 31: e4428
Cummins MC, Jacobs TM, Teets FD, et al. (2022) AlphaFold accurately predicts distinct conformations based on the oligomeric state of a de novo designed protein. Protein Science : a Publication of the Protein Society. 31: e4368
Alford RF, Leaver-Fay A, Jeliazkov JR, et al. (2022) Correction to "The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design". Journal of Chemical Theory and Computation
Pulavarti SVSRK, Maguire JB, Yuen S, et al. (2022) From Protein Design to the Energy Landscape of a Cold Unfolding Protein. The Journal of Physical Chemistry. B
Albanese KI, Leaver-Fay A, Treacy JW, et al. (2022) Comparative Analysis of Sulfonium-π, Ammonium-π, and Sulfur-π Interactions and Relevance to SAM-Dependent Methyltransferases. Journal of the American Chemical Society
Le KH, Adolf-Bryfogle J, Klima JC, et al. (2021) PyRosetta Jupyter Notebooks Teach Biomolecular Structure Prediction and Design. Biophysicist (Rockville, Md.). 2: 108-122
Koehler Leman J, Lyskov S, Lewis SM, et al. (2021) Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks. Nature Communications. 12: 6947
Kudlacek ST, Metz S, Thiono D, et al. (2021) Designed, highly expressing, thermostable dengue virus 2 envelope protein dimers elicit quaternary epitope antibodies. Science Advances. 7: eabg4084
Maguire JB, Haddox HK, Strickland D, et al. (2020) Perturbing the energy landscape for improved packing during computational protein design. Proteins
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