RosettaBackrub--a web server for flexible backbone protein structure modeling and design
- Univ. of California, San Francisco, CA (United States). Dept. of Bioengineering and Therapeutic Sciences; DOE/OSTI
- Univ. of California, San Francisco, CA (United States). Dept. of Bioengineering and Therapeutic Sciences
- Joint BioEnergy Institute (JBEI), Emeryville, CA (United States). Technology Division; Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States). Biomass Science and Conversion Technology Dept.
- Yale Univ., New Haven, CT (United States). Dept. of Molecular Biophysics and Biochemistry
The Rosetta-Backrub server (http://kortemmelab .ucsf.edu/backrub) implements the Backrub method, derived from observations of alternative conformations in high-resolution protein crystal structures, for flexible backbone protein modeling. Backrub modeling is applied to three related applications using the Rosetta program for structure prediction and design: (I) modeling of structures of point mutations, (II) generating protein conformational ensembles and designing sequences consistent with these conformations and (III) predicting tolerated sequences at protein–protein interfaces. The three protocols have been validated on experimental data. Starting from a user-provided single input protein structure in PDB format, the server generates near-native conformational ensembles. The predicted conformations and sequences can be used for different applications, such as to guide mutagenesis experiments, for ensemble-docking approaches or to generate sequence libraries for protein design.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
- Grant/Contract Number:
- NA0003525
- OSTI ID:
- 1625480
- Journal Information:
- Nucleic Acids Research, Journal Name: Nucleic Acids Research Vol. 38; ISSN 0305-1048
- Publisher:
- Oxford University PressCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Increasing Sequence Diversity with Flexible Backbone Protein Design: The Complete Redesign of a Protein Hydrophobic Core
Robust deep learning–based protein sequence design using ProteinMPNN
High-Resolution Design of a Protein Loop
Journal Article
·
Thu Oct 15 00:00:00 EDT 2015
· Structure
·
OSTI ID:1046251
Robust deep learning–based protein sequence design using ProteinMPNN
Journal Article
·
Wed Sep 14 20:00:00 EDT 2022
· Science
·
OSTI ID:2470608
High-Resolution Design of a Protein Loop
Journal Article
·
Sun Dec 31 23:00:00 EST 2006
· Proceedings of the National Academy of Sciences of the USA
·
OSTI ID:959484