Bench delivers a full array of molecular modeling software, e.g. sequence and structure alignment, to use Rosetta to its full potential.
Cyrus Bench is an easy-to-use but powerful version of the Rosetta molecular modeling
Nature (Chevalier, Silva, Rocklin et al.) 2017 Science (Gonen et al.), June 2015 Science (Jardine et al.), March 2016 Science (Boyken et al.) May 2016 Science (Hosseinzadeh et al.) December 2017 Science (Lu et al.), March 2018 Nature (Dou et al.), September 2018 Science (Marcos et al.), January 2017 Nature (Tinberg et al.), March 2013 Science (Fleishman et al.) May 2011 Cell (Marcandalli et al.) March 2019 Nature (Chen et al.) December 2018
Over one thousand published papers with wet-lab verified results
Thousands of CPUs, instant updates, massive databases, all at the touch of a button. Your data is private and encrypted, and all data for sequences and biological structures belong to the user, unlike with public servers.
Cyrus’s Rosetta interface (GUI) was designed from scratch to be powerful but intuitive to a biochemist or chemist, making complex tasks accessible via a web browser.
Cyrus Bench includes the most in-demand
features from BioPharma scientists
An introduction to Rosetta protein modeling and engineering software, and Cyrus’s software and services
Cyrus in drug discovery
A summary of practical applications of Rosetta and Bench focused on clinical applications
Cyrus Scientific Validation
An overview of scientific studies validating Rosetta software in vitro and in vivo
Cyrus Software Demo
An in-depth sample use case demo of Bench showing how to run a protein stabilization calculation on a therapeutic candidate enzyme
Bench is available now. It offers the most in-demand features from Rosetta, including:
- The homology modeling protein structure prediction pipeline, with world-leading performance in the peer-reviewed CASP contests over the last 14 years
- Basic protein design tools in Rosetta, the same tools responsible for an array of “firsts” in protein design, including the first fully-computational protein design (top7) and first computational design of a protein-protein interaction with stronger binding than an antibody (HB36).
- Protein mutational free energy (ddG) calculations using Rosetta’s unique backbone flexibility modeling.
- Protein/protein interface redesign with fixed or flexible backbone, methods used for Biologics optimization in academia and Big Pharma, as presented in multiple conferences and published papers.
- Protein loop structure prediction / protein loop modeling using the latest NGK protocol in Rosetta
- Protein/small molecule ligand interface design, for engineering of natural enzymes or small molecule binding proteins for therapeutic or other biotech tools use cases.
- Modeling of protein/small molecule structural fluctuations, similar to molecular dynamics (MD) for analysis of small molecule drug complexes, in partnership with Openeye Scientific. Very useful for detailed analysis of protein/ligand docking or virtual screening output in a Computer Assisted Drug Design (CADD) workflow.
- Protein immunogenicity prediction (Biologics immunogenicity). Machine learning based MHC-II (T-cell) epitope prediction for triage and optimization of Biologics candidates. Contact us for information about our highly automated structure-based deimmunization or epitope removal for Biologics candidates.
- Antibody Structure Prediction / Antibody Homology Modeling. Cyrus’ version of the extensively validated RosettaAntibody tool out of Jeff Gray’s lab at Johns Hopkins, with a Machine Learning workflow to automated nearly any input antibody Fv sequence.
- More features coming soon including the ab initio protein structure prediction tool, protein/protein docking (with or without homology information), and more.