in silico protein engineering using rosetta - cyrus bio · in silico protein engineering using...

2
Cyrus automates a set of Rosetta protein design software protocols that have been refined and tested on experimental data sets. Cyrus Bench® is an easy-to-use, SaaS offering proven to reliably perform essential tasks. Highest Accuracy Protein Structure Prediction / Homology Modeling - even with low similarity homologs Antibody Structure Prediction from Sequence Protein Stabilization - via single and multiple point mutations and evolutionary redesign Protein / Protein Interface Redesign - with protein flexibility Immunogenicity Prediction Fast Free Energy Calculations - ΔΔG Loop Modeling and Design - optimization or de novo Identification of Alternative Protein Structure Conformations - via powerful sampling and scoring protocols Enzyme Design Protein / Protein Docking in silico Protein Engineering using Rosetta Validated with over 1000 publications cyrusbio.com (1) Song, Y. et al., "High-Resolution Comparative Modeling with RosettaCM". Structure (2013) 21, 1735. (2) Kellogg et al., “Role of conformational sampling in computing mutation-induced changes in protein structure and stability”. Proteins (2010) 79, 830. (3) Borgo et al., ”Automated selection of stabilizing mutations in designed and natural proteins". PNAS (2012) 109, 1494. (4) Tyka et al., “Alternate states of proteins revealed by detailed energy landscape mapping”. J Mol Biol (2011) 405(2):607-18. (5) Ollikainen, de Jong and Kortemme, “Coupling Protein Side-Chain and Backbone Flexibility Improves the Re-design of Protein-Ligand Specificity”. PLoS Comput Biol (2015) 11(9) (6) Stein and Kortemme, “Improvements to Robotics-Inspired Conformational Sampling in Rosetta”. PLOS ONE (2013) 8(5): e63090 (7) King et al., “Removing T-cell epitopes with computational protein design”. PNAS (2014) 111, 8581 (8) Weitzner et al., “Modeling and docking of antibody structures with Rosetta” Nat. Protoc. (2017) 12 401-416 (9) Kozakov et al Proteins Structure Function and Bioinformatics vol. 65 p. 392. Protein/Protein Interface Design (5) Immunogenicity Prediction (7) Loop Modeling & Design (6) Alternative Conformations (4) Stabilization (ΔΔG) (2)(3) Homology Modeling (1) Enzyme Design (5) Antibody Structure Prediction (8) Protein/Protein Docking (9)

Upload: others

Post on 24-Aug-2020

1 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: in silico Protein Engineering using Rosetta - Cyrus Bio · in silico Protein Engineering using Rosetta Validated with over 1000 publications cyrusbio.com (1) Song, Y. et al., "High-Resolution

Cyrus automates a set of Rosetta protein design software protocols that have been refined and tested on experimental data sets. Cyrus Bench® is an easy-to-use, SaaS offering proven to reliably perform essential tasks.

•  Highest Accuracy Protein Structure Prediction / Homology Modeling - even with low similarity homologs

•  Antibody Structure Prediction from Sequence

•  Protein Stabilization - via single and multiple point mutations and evolutionary redesign

•  Protein / Protein Interface Redesign - with protein flexibility

•  Immunogenicity Prediction

•  Fast Free Energy Calculations - ΔΔG

•  Loop Modeling and Design - optimization or de novo

•  Identification of Alternative Protein Structure Conformations - via powerful sampling and scoring protocols

•  Enzyme Design

•  Protein / Protein Docking

in silico Protein Engineering using Rosetta Validated with over 1000 publications

cyrusbio.com

(1) Song, Y. et al., "High-Resolution Comparative Modeling with RosettaCM". Structure (2013) 21, 1735.(2) Kellogg et al., “Role of conformational sampling in computing mutation-induced changes in protein structure and stability”. Proteins (2010) 79, 830.(3) Borgo et al., ”Automated selection of stabilizing mutations in designed and natural proteins". PNAS (2012) 109, 1494.(4) Tyka et al., “Alternate states of proteins revealed by detailed energy landscape mapping”. J Mol Biol (2011) 405(2):607-18.(5) Ollikainen, de Jong and Kortemme, “Coupling Protein Side-Chain and Backbone Flexibility Improves the Re-design of Protein-Ligand Specificity”. PLoS Comput Biol (2015) 11(9)(6) Stein and Kortemme, “Improvements to Robotics-Inspired Conformational Sampling in Rosetta”. PLOS ONE (2013) 8(5): e63090 (7) King et al., “Removing T-cell epitopes with computational protein design”. PNAS (2014) 111, 8581(8) Weitzner et al., “Modeling and docking of antibody structures with Rosetta” Nat. Protoc. (2017) 12 401-416(9) Kozakov et al Proteins Structure Function and Bioinformatics vol. 65 p. 392.

Protein/Protein Interface Design(5)

Immunogenicity Prediction(7)

Loop Modeling & Design(6)

Alternative Conformations(4)

Stabilization

(ΔΔG) (2)(3)

Homology Modeling(1)

Enzyme Design(5)

Antibody Structure Prediction(8)

Protein/Protein Docking(9)

Page 2: in silico Protein Engineering using Rosetta - Cyrus Bio · in silico Protein Engineering using Rosetta Validated with over 1000 publications cyrusbio.com (1) Song, Y. et al., "High-Resolution

•  Easy to Use Graphical User Interface

•  Massively Scalable Cloud Implementation

•  No Installation Required

•  Runs in Chrome Browser

•  Full-Time Professional Support

in silico Protein Engineering using Rosetta Validated with over 1000 publications

cyrusbio.com