Literature DB >> 31742764

Novel sampling strategies and a coarse-grained score function for docking homomers, flexible heteromers, and oligosaccharides using Rosetta in CAPRI rounds 37-45.

Shourya S Roy Burman1, Morgan L Nance2, Jeliazko R Jeliazkov2, Jason W Labonte1, Joseph H Lubin1, Naireeta Biswas1, Jeffrey J Gray1,2,3,4.   

Abstract

Critical Assessment of PRediction of Interactions (CAPRI) rounds 37 through 45 introduced larger complexes, new macromolecules, and multistage assemblies. For these rounds, we used and expanded docking methods in Rosetta to model 23 target complexes. We successfully predicted 14 target complexes and recognized and refined near-native models generated by other groups for two further targets. Notably, for targets T110 and T136, we achieved the closest prediction of any CAPRI participant. We created several innovative approaches during these rounds. Since round 39 (target 122), we have used the new RosettaDock 4.0, which has a revamped coarse-grained energy function and the ability to perform conformer selection during docking with hundreds of pregenerated protein backbones. Ten of the complexes had some degree of symmetry in their interactions, so we tested Rosetta SymDock, realized its shortcomings, and developed the next-generation symmetric docking protocol, SymDock2, which includes docking of multiple backbones and induced-fit refinement. Since the last CAPRI assessment, we also developed methods for modeling and designing carbohydrates in Rosetta, and we used them to successfully model oligosaccharide-protein complexes in round 41. Although the results were broadly encouraging, they also highlighted the pressing need to invest in (a) flexible docking algorithms with the ability to model loop and linker motions and in (b) new sampling and scoring methods for oligosaccharide-protein interactions.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  CAPRI; Rosetta; conformational change; protein docking; protein-oligosaccharide interaction

Mesh:

Substances:

Year:  2019        PMID: 31742764     DOI: 10.1002/prot.25855

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  7 in total

1.  Protein docking and steered molecular dynamics suggest alternative phospholamban-binding sites on the SERCA calcium transporter.

Authors:  Rebecca F Alford; Nikolai Smolin; Howard S Young; Jeffrey J Gray; Seth L Robia
Journal:  J Biol Chem       Date:  2020-06-17       Impact factor: 5.157

2.  PyRosetta Jupyter Notebooks Teach Biomolecular Structure Prediction and Design.

Authors:  Kathy H Le; Jared Adolf-Bryfogle; Jason C Klima; Sergey Lyskov; Jason Labonte; Steven Bertolani; Shourya S Roy Burman; Andrew Leaver-Fay; Brian Weitzner; Jack Maguire; Ramya Rangan; Matt A Adrianowycz; Rebecca F Alford; Aleexsan Adal; Morgan L Nance; Yuanhan Wu; Jordan Willis; Daniel W Kulp; Rhiju Das; Roland L Dunbrack; William Schief; Brian Kuhlman; Justin B Siegel; Jeffrey J Gray
Journal:  Biophysicist (Rockv)       Date:  2021-04-14

3.  Design of peptides with high affinity binding to a monoclonal antibody as a basis for immunotherapy.

Authors:  Surendra S Negi; Randall M Goldblum; Werner Braun; Terumi Midoro-Horiuti
Journal:  Peptides       Date:  2021-08-16       Impact factor: 3.750

4.  Robustification of RosettaAntibody and Rosetta SnugDock.

Authors:  Jeliazko R Jeliazkov; Rahel Frick; Jing Zhou; Jeffrey J Gray
Journal:  PLoS One       Date:  2021-03-25       Impact factor: 3.240

Review 5.  Coarse-grained (hybrid) integrative modeling of biomolecular interactions.

Authors:  Jorge Roel-Touris; Alexandre M J J Bonvin
Journal:  Comput Struct Biotechnol J       Date:  2020-05-15       Impact factor: 7.271

6.  A Benchmark for Homomeric Enzyme Active Site Structure Prediction Highlights the Importance of Accurate Modeling of Protein Symmetry.

Authors:  Stephanie C Contreras; Steve J Bertolani; Justin B Siegel
Journal:  ACS Omega       Date:  2019-12-19

Review 7.  Three-Dimensional Structures of Carbohydrates and Where to Find Them.

Authors:  Sofya I Scherbinina; Philip V Toukach
Journal:  Int J Mol Sci       Date:  2020-10-18       Impact factor: 5.923

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.