Phil Bradley

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"Phil Bradley"
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Leman JK, Weitzner BD, Lewis SM, et al. (2020) Macromolecular modeling and design in Rosetta: recent methods and frameworks. Nature Methods
Koehler Leman J, Weitzner BD, Renfrew PD, et al. (2020) Better together: Elements of successful scientific software development in a distributed collaborative community. Plos Computational Biology. 16: e1007507
Kuhlman B, Bradley P. (2019) Advances in protein structure prediction and design. Nature Reviews. Molecular Cell Biology
Crook ZR, Sevilla GP, Friend D, et al. (2018) Publisher Correction: Mammalian display screening of diverse cystine-dense peptides for difficult to drug targets. Nature Communications. 9: 1072
Crook ZR, Sevilla GP, Friend D, et al. (2017) Mammalian display screening of diverse cystine-dense peptides for difficult to drug targets. Nature Communications. 8: 2244
Alford RF, Leaver-Fay A, Jeliazkov JR, et al. (2017) The Rosetta all-atom energy function for macromolecular modeling and design. Journal of Chemical Theory and Computation
Park H, Bradley P, Greisen P, et al. (2016) Simultaneous optimization of biomolecular energy function on features from small molecules and macromolecules. Journal of Chemical Theory and Computation
Doyle L, Hallinan J, Bolduc J, et al. (2015) Rational design of α-helical tandem repeat proteins with closed architectures. Nature
McCoy CO, Bedford T, Minin VN, et al. (2015) Quantifying evolutionary constraints on B-cell affinity maturation. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 370
O'Meara MJ, Leaver-Fay A, Tyka M, et al. (2015) A Combined Covalent-Electrostatic Model of Hydrogen Bonding Improves Structure Prediction with Rosetta. Journal of Chemical Theory and Computation. 11: 609-622
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