Bench delivers a full array of molecular modeling software, e.g. sequence and structure alignment, to use Rosetta to its full potential.
CYRUS BENCH: Available Now
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
Over one thousand published papers with wet-lab verified results
Protein modeling requires tens or hundreds of thousands of CPUs. We deliver that power to you on the cloud at the push of a button.
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
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.
- More features coming soon including the ab initio protein structure prediction tool, protein/protein docking (with or without homology information), antibody homology modeling, and more.