Cresset Flare v11.0.0 x64

Through high-resolution 3D visualization and in-depth analysis of target structures and potential ligands, Flare enables users to optimize and prioritize new molecules efficiently and effectively

Accelerating small molecule discovery
-Flare customers, typically computational and medicinal chemists across pharmaceuticals, biotechnology, academia, and other industries, value the platform as their ‘computational toolbox’. The software enables them to closely inspect the detail of their ligand-protein complexes, using a variety of methods to gain useful insights into their protein targets and ligand series. As our most feature-packed software package, both ligand-based and structure-based drug designers are supported to progress their lead optimization, with confidence.
-By closely examining a wide portfolio of ideas and applying a large variety of methods, a large number of molecules can be reduced to a small collection, allowing only the very best molecules to be handed over for lab experiments. The outcome is not only a great reduction in time, energy, and lab resources, but also the greatest chances of success in later-stage drug development.

Ligand-based drug design software components
-Ligand-based drug designers utilize Flare to closely examine, compare, and prioritize their molecules, based on their shape, electrostatics, and binding activity. Through robust QSAR models that predict the activity and ADMET properties of new compounds, users can build confidence and understanding across a full portfolio of leads.

Structure-based drug design software components
With a variety of methods including docking and scoring, Electrostatic Complementarity™, molecular dynamics, pocket analysis, and water analysis (GIST and 3D-RISM), structure-based drug designers can gain new insights into protein-ligand binding. Based on established, proprietary methods around ligand and protein electrostatics, combined with the best of our own internal and open-source research, users are able to fully understand the features and interactions of their target structures.
-Support medicinal chemists in reaching results more efficiently
-Progress lead optimization with confidence