Rosetta is a molecular modeling program for the prediction and design of macromolecular structures. The capabilities of the program have been highlighted in community-wide assessments, and macromolecules designed with Rosetta are regularly validated experimentally with high-resolution structures. Rosetta is currently being applied to a variety of problems including: scaffold design for vaccine development, design of new therapeutic antibody formats, engineering of protein switches for inducible control of signaling pathways, and structure determination of protein monomers and complexes with sparse experimental constraints. Over 200 programmers at 50 laboratories are actively developing new capabilities within Rosetta, and 20,000 users have obtained free licenses to perform simulations with Rosetta. Just in the last two years, Rosetta developers have committed over 1300 revisions to the master version of Rosetta from their individual development branches. Maintaining the integrity, accuracy and usability of such a dynamic program is a significant challenge. This proposal is a competing renewal and is in response to a program announcement (PAR-11-028) for the continued development, maintenance and testing of biomedical software. Activities from the previous funding periods have been instrumental in the productive growth of Rosetta, these include the development of an automated testing system that checks and benchmarks every revision to the code base, code refactoring to ensure the use of modern programming practices and enable new scientific features, deployment of web servers for standardized, publicly-accessible Rosetta simulations, and user support through an online forum and tutorials. With this proposal our goal is to further increase the usefulness of Rosetta to expert and non- expert users by pursuing four specific aims: (1) promote rapid development of new algorithms and modeling strategies by maintaining and expanding our testing platform as well as creating automated protocols for ensuring code quality, (2) create a new job control system and scripting tools for multi-stage protocols with adaptive sampling, (3) convert to C++11 as the default build system for Rosetta, and (4) and provide user support through updated documentation, tutorials and workshops.

Public Health Relevance

The function of a protein, RNA or DNA molecule is largely determined by its 3-dimensional structure. We aim to develop and support a state-of-the-art computer program for predicting and designing the structures of biological macromolecules. The program will be freely available to academic laboratories and its predictions will help investigators understand and fight human diseases such as cancer and AIDS.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM073151-14
Application #
9670112
Study Section
Biodata Management and Analysis Study Section (BDMA)
Program Officer
Smith, Ward
Project Start
2005-03-01
Project End
2021-03-31
Budget Start
2019-04-01
Budget End
2021-03-31
Support Year
14
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Biochemistry
Type
Schools of Medicine
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Fu, Darwin Yu; Meiler, Jens (2018) RosettaLigandEnsemble: A Small-Molecule Ensemble-Driven Docking Approach. ACS Omega 3:3655-3664
Tessmer, Maxx H; Anderson, David M; Pickrum, Adam M et al. (2018) Identification of a ubiquitin-binding interface using Rosetta and DEER. Proc Natl Acad Sci U S A 115:525-530
Kratochvil, Isabel; Hofmann, Tommy; Rother, Sandra et al. (2018) Mono(2-ethylhexyl) phthalate (MEHP) and mono(2-ethyl-5-oxohexyl) phthalate (MEOHP) but not di(2-ethylhexyl) phthalate (DEHP) bind productively to the peroxisome proliferator-activated receptor ?. Rapid Commun Mass Spectrom :
Leffler, Abba E; Kuryatov, Alexander; Zebroski, Henry A et al. (2017) Discovery of peptide ligands through docking and virtual screening at nicotinic acetylcholine receptor homology models. Proc Natl Acad Sci U S A 114:E8100-E8109
Li, Bian; Mendenhall, Jeffrey; Nguyen, Elizabeth Dong et al. (2017) Improving prediction of helix-helix packing in membrane proteins using predicted contact numbers as restraints. Proteins 85:1212-1221
Alford, Rebecca F; Leaver-Fay, Andrew; Jeliazkov, Jeliazko R et al. (2017) The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design. J Chem Theory Comput 13:3031-3048
Anishchenko, Ivan; Ovchinnikov, Sergey; Kamisetty, Hetunandan et al. (2017) Origins of coevolution between residues distant in protein 3D structures. Proc Natl Acad Sci U S A 114:9122-9127
Weitzner, Brian D; Jeliazkov, Jeliazko R; Lyskov, Sergey et al. (2017) Modeling and docking of antibody structures with Rosetta. Nat Protoc 12:401-416
Weitzner, Brian D; Gray, Jeffrey J (2017) Accurate Structure Prediction of CDR H3 Loops Enabled by a Novel Structure-Based C-Terminal Constraint. J Immunol 198:505-515
Alford, Rebecca F; Leaver-Fay, Andrew; Gonzales, Lynda et al. (2017) A cyber-linked undergraduate research experience in computational biomolecular structure prediction and design. PLoS Comput Biol 13:e1005837

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