B
Brian Kuhlman
Researcher at University of North Carolina at Chapel Hill
Publications - 188
Citations - 19150
Brian Kuhlman is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Protein structure & Protein design. The author has an hindex of 62, co-authored 174 publications receiving 15936 citations. Previous affiliations of Brian Kuhlman include Stony Brook University & University of Göttingen.
Papers
More filters
Book ChapterDOI
ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.
Andrew Leaver-Fay,Michael D. Tyka,Steven M. Lewis,Oliver F. Lange,James Thompson,Ron Jacak,Kristian W. Kaufman,P. Douglas Renfrew,Colin A. Smith,William Sheffler,Ian W. Davis,Seth Cooper,Adrien Treuille,Daniel J. Mandell,Florian Richter,Yih-En Andrew Ban,Sarel J. Fleishman,Jacob E. Corn,David E. Kim,Sergey Lyskov,Monica Berrondo,Stuart Mentzer,Zoran Popović,James J. Havranek,John Karanicolas,Rhiju Das,Jens Meiler,Tanja Kortemme,Jeffrey J. Gray,Brian Kuhlman,David Baker,Philip Bradley +31 more
TL;DR: This chapter describes the requirements for the ROSETTA molecular modeling program's new architecture, justifies the design decisions, sketches out central classes, and highlights a few of the common tasks that the new software can perform.
Journal ArticleDOI
Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
TL;DR: A general computational strategy that iterates between sequence design and structure prediction to design a 93-residue α/β protein called Top7 with a novel sequence and topology, found experimentally to be folded and extremely stable.
Journal ArticleDOI
Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations.
Jeffrey J. Gray,Stewart E. Moughon,Chu Wang,Ora Schueler-Furman,Brian Kuhlman,Carol A. Rohl,David Baker +6 more
TL;DR: A new method to predict protein-protein complexes from the coordinates of the unbound monomer components using a low-resolution, rigid-body, Monte Carlo search followed by simultaneous optimization of backbone displacement and side-chain conformations using Monte Carlo minimization is presented.
Journal ArticleDOI
A genetically encoded photoactivatable Rac controls the motility of living cells
Yi I. Wu,Daniel Frey,Oana I. Lungu,Angelika Jaehrig,Ilme Schlichting,Brian Kuhlman,Klaus M. Hahn +6 more
TL;DR: A new approach to produce genetically encoded photoactivatable derivatives of Rac1, a key GTPase regulating actin cytoskeletal dynamics in metazoan cells, which was shown to inhibit RhoA in mouse embryonic fibroblasts, with inhibition modulated at protrusions and ruffles.
Journal ArticleDOI
The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design.
Rebecca F. Alford,Andrew Leaver-Fay,Jeliazko R. Jeliazkov,Matthew J. O’Meara,Frank DiMaio,Hahnbeom Park,Maxim V. Shapovalov,P. Douglas Renfrew,Vikram Khipple Mulligan,Kalli Kappel,Jason W. Labonte,Michael S. Pacella,Richard Bonneau,Philip Bradley,Roland L. Dunbrack,Rhiju Das,David Baker,Brian Kuhlman,Tanja Kortemme,Jeffrey J. Gray +19 more
TL;DR: This paper describes the mathematical models and physical concepts that underlie the latest Rosetta energy function, called the Rosetta Energy Function 2015 (REF15), and explains how to use Rosetta energies to identify and analyze the features of biomolecular models.