H
Hahnbeom Park
Researcher at University of Washington
Publications - 55
Citations - 8817
Hahnbeom Park is an academic researcher from University of Washington. The author has contributed to research in topics: Protein structure prediction & Loop modeling. The author has an hindex of 28, co-authored 51 publications receiving 4352 citations. Previous affiliations of Hahnbeom Park include Seoul National University & Korea Institute for Advanced Study.
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Journal ArticleDOI
Accurate prediction of protein structures and interactions using a three-track neural network
Minkyung Baek,Frank DiMaio,Ivan Anishchenko,Justas Dauparas,Sergey Ovchinnikov,Gyu Rie Lee,Jue Wang,Qian Cong,Lisa N. Kinch,R. Dustin Schaeffer,Claudia Millán,Hahnbeom Park,Carson Adams,Caleb R. Glassman,Andy DeGiovanni,Jose Henrique Pereira,Andria V. Rodrigues,Alberdina A. van Dijk,Ana C. Ebrecht,Diederik J. Opperman,Theo Sagmeister,Christoph Buhlheller,Christoph Buhlheller,Tea Pavkov-Keller,Manoj K. Rathinaswamy,Udit Dalwadi,Calvin K. Yip,John E. Burke,K. Christopher Garcia,Nick V. Grishin,Paul D. Adams,Paul D. Adams,Randy J. Read,David Baker +33 more
TL;DR: In this article, a three-track network is proposed to combine information at the one-dimensional (1D) sequence level, the 2D distance map level, and the 3D coordinate level.
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Improved protein structure prediction using predicted interresidue orientations
TL;DR: A deep residual network for predicting interresidue orientations, in addition to distances, and a Rosetta-constrained energy-minimization protocol for rapidly and accurately generating structure models guided by these restraints are developed.
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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.
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GalaxyRefine: protein structure refinement driven by side-chain repacking
Lim Heo,Hahnbeom Park,Chaok Seok +2 more
TL;DR: The GalaxyRefine web server, freely available at http://galaxy.seoklab.org/refine, is based on a refinement method that has been successfully tested in CASP10 and can improve both global and local structure quality on average, when used for refining the models generated by state-of-the-art protein structure prediction servers.
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GalaxyWEB server for protein structure prediction and refinement
TL;DR: The GalaxyWEB server predicts protein structure from sequence by template-based modeling and refines loop or terminus regions by ab initio modeling and generates reliable core structures from multiple templates and re-builds unreliable loops or termini by using an optimization-based refinement method.