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Biology and Biochemistry

D-Index
76
Citations
25899
World Ranking
4969
National Ranking
2387

Research.com Recognitions

  • 2004 - Fellow of Alfred P. Sloan Foundation

Overview

Brian Kuhlman is a researcher affiliated with the University of North Carolina at Chapel Hill in the United States. Their work spans the field of Biochemistry, Genetics and Molecular Biology, with a primary focus on Molecular Biology. Their research also extends into Materials Chemistry, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, and Infectious Diseases.

Their scientific contributions cover several key topics, including:

  • Protein Structure and Dynamics
  • Enzyme Structure and Function
  • RNA and protein synthesis mechanisms
  • Monoclonal and Polyclonal Antibodies Research
  • Ubiquitin and proteasome pathways
  • Mosquito-borne diseases and control
  • Microbial Metabolic Engineering and Bioproduction

Kuhlman's publication record includes papers appearing in a variety of venues, notably:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Protein Science
  • Zenodo (CERN European Organization for Nuclear Research)

Selected recent papers include:

  • "Macromolecular modeling and design in Rosetta: recent methods and frameworks," 2020, Nature Methods
  • "Perturbing the energy landscape for improved packing during computational protein design," 2020, Proteins Structure Function and Bioinformatics
  • "Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules," 2020, UNC Libraries
  • "Transfer learning to leverage larger datasets for improved prediction of protein stability changes," 2024, Proceedings of the National Academy of Sciences
  • "Modifications to the Framework Regions Eliminate Chimeric Antigen Receptor Tonic Signaling," 2021, Cancer Immunology Research

Kuhlman has collaborated frequently with several researchers, including Andrew Leaver-Fay, Jeffrey J. Gray, Sergey Lyskov, Steven M. Lewis, and Tanja Kortemme. These collaborations have contributed to a cohesive body of work involving macromolecular design, protein modeling, and computational biology.

Over the course of their career, Kuhlman has been recognized as a Fellow of the Alfred P. Sloan Foundation in 2004. This award is noted among their professional distinctions.

Best Publications

  • Design of a Novel Globular Protein Fold with Atomic-Level Accuracy

    Brian A Kuhlman;Gautam Dantas;Gregory C. Ireton;Gabriele Varani

  • ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

    Andrew Leaver-Fay;Michael Tyka;Steven M. Lewis;Oliver F. Lange

  • Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations.

    Jeffrey J. Gray;Stewart Moughon;Chu Wang;Ora Schueler-Furman

  • The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design.

    Rebecca F. Alford;Andrew Leaver-Fay;Jeliazko R. Jeliazkov;Matthew J. O’Meara

  • A genetically encoded photoactivatable Rac controls the motility of living cells

    Yi I. Wu;Daniel Frey;Oana I. Lungu;Angelika Jaehrig

  • Native protein sequences are close to optimal for their structures

    Brian Kuhlman;David Baker

  • Macromolecular modeling and design in Rosetta: recent methods and frameworks

    Julia Koehler Leman;Brian D. Weitzner;Brian D. Weitzner;Steven M. Lewis;Steven M. Lewis;Jared Adolf-Bryfogle

  • Labelling and optical erasure of synaptic memory traces in the motor cortex

    Akiko Hayashi-Takagi;Sho Yagishita;Mayumi Nakamura;Fukutoshi Shirai

  • Advances in protein structure prediction and design

    Brian Kuhlman;Philip Bradley

  • Engineering an improved light-induced dimer (iLID) for controlling the localization and activity of signaling proteins

    Gurkan Guntas;Ryan A. Hallett;Seth P. Zimmerman;Tishan Williams

  • Serverification of molecular modeling applications: the Rosetta Online Server that Includes Everyone (ROSIE).

    Sergey Lyskov;Fang Chieh Chou;Shane Ó Conchúir;Bryan S. Der

  • A large scale test of computational protein design: folding and stability of nine completely redesigned globular proteins.

    Gautam Dantas;Brian Kuhlman;David Callender;Michelle Wong

  • LOVTRAP: an optogenetic system for photoinduced protein dissociation

    Hui Wang;Marco Vilela;Andreas Winkler;Miroslaw Tarnawski

  • Computer-based redesign of a protein folding pathway

    Sehat Nauli;Brian Kuhlman;David Baker

  • Combined covalent-electrostatic model of hydrogen bonding improves structure prediction with Rosetta

    Matthew J. O’Meara;Andrew Leaver-Fay;Michael D. Tyka;Amelie Stein

  • Generation of bispecific IgG antibodies by structure-based design of an orthogonal Fab interface

    Steven M Lewis;Xiufeng Wu;Anna Pustilnik;Arlene Sereno

  • RosettaDesign server for protein design

    Yi Liu;Brian Kuhlman

  • Designing photoswitchable peptides using the AsLOV2 domain

    Oana I. Lungu;Ryan A. Hallett;Eun Jung Choi;Mary J. Aiken

  • Scientific Benchmarks for Guiding Macromolecular Energy Function Improvement

    Andrew P Leaver-Fay;Matthew J. O'Meara;Mike Tyka;Ron Jacak

  • Computational design of a single amino acid sequence that can switch between two distinct protein folds.

    Xavier I. Ambroggio;Brian A Kuhlman

Frequent Co-Authors

David Baker
David Baker University of Washington
Jeffrey J. Gray
Jeffrey J. Gray Johns Hopkins University
Richard Bonneau
Richard Bonneau New York University
Tanja Kortemme
Tanja Kortemme University of California, San Francisco
Klaus M. Hahn
Klaus M. Hahn University of North Carolina at Chapel Hill
Roland L. Dunbrack
Roland L. Dunbrack Fox Chase Cancer Center
Jens Meiler
Jens Meiler Vanderbilt University
William R. Schief
William R. Schief Scripps Research Institute
Thomas Szyperski
Thomas Szyperski University at Buffalo, State University of New York
Daniel P. Raleigh
Daniel P. Raleigh Stony Brook University

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