Cambridge, UK – 14 July 2021 – Cresset, innovative provider of outstanding software for molecule discovery and design, announces the release of Flare V5, its comprehensive molecule design platform.
This release of Flare incorporates the advanced ligand-based methods validated through years of use in Forge™ with its established structure-based science. The integration enables chemists to discover novel molecules more efficiently and effectively. Significant enhancements have also been made to increase the speed and automation of Free Energy Perturbation (FEP) calculations, enabling single compounds to be predicted in as little as 30 minutes. New analysis methods have been added to help understand the behavior of water within the target active site.
“Flare has evolved from a structure-based design tool” says Dr Giovanna Tedesco, Head of Products. “In this exciting development, ligand and structure-based methods work in full synergy, allowing medicinal and computational chemists to access Cresset intuitive science in a single platform to advance their drug discovery projects.”
“Flare V5 also features new and enhanced science, and improvements to the GUI to increase usability. We now offer a comprehensive solution to streamline molecule design and the prioritization of new molecules for synthesis.”
Flare is available for evaluation upon request.
Flare enables research chemists to discover novel small molecules more efficiently and effectively in a single platform
About the components of Flare
Ligand-based components of Flare enable research chemists to:
Structure-based components of Flare enable computational chemists to:
- Calculate relative binding affinity within a single congeneric ligand series using Flare FEP
- Work more efficiently by creating workflows and automating common tasks using the Python API
- Understand ligand binding, SAR and rank new molecule designs using electrostatics
- Rapidly and easily dock ligands from a choice of different experiments
- Study conformational changes of proteins and assess the stability of protein-ligand complexes using Molecular Dynamics with OpenMM
- Use GIST and 3D-RISM approaches for insights into binding pockets that can exploit inhibitor strategy