Science Resources: Article

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Latest advances in FEP: We’re Going to Need a Bigger Drug Discovery Toolbox…
Introduction Time flies when you are having fun! I can’t believe that it has been over five years since writing the blog post – Free Energy...
Scientific validation of FEP projects in Flare™
It is often the case in drug discovery that a new hit series of compounds against a therapeutic target must be further developed by the team. As medicinal...
Validating AI protein structure prediction models using Free Energy Perturbation (FEP) calculations in Flare™ FEP
Accurate protein-ligand binding free energy calculations are a valuable tool in computational drug discovery as they enable the identification...
Hit Expander: A new method to rapidly assess and step through the hit-to-lead process with minimal expenditure on wet-chemistry
You may have seen a recent paper by Yuan Hu and Ingo Mügge from Alkermes on ‘In Silico Positional Analogue Scanning with Amber GPU-TI’. The idea behind...
Optimizing the docking pathway in Spark™: Find novel results by computing ligand-protein interactions directly from the active site
Find novel bioisosteres with Spark Spark is a bioisostere replacement solution that enables drug discovery research chemists to generate...
Charge changes and new analytical features in Flare™ FEP
A significant improvement in Flare™ FEP is the ability to perform perturbations with ligands which have different charge states within the same...
Molecular Dynamics in Flare™: The Importance of Ionic Strength when Modeling Charged Ligands
Including a salt concentration to match the experimental conditions of your binding assay to your Molecular Dynamics (MD) or Free Energy Perturbation...
Flare™ V9 released: Spark™ bioisostere replacement, Homology Modeling, ensemble MM/GBSA and more in the latest release of Cresset’s CADD solution
  Version 9 of Flare, Cresset’s CADD solution, brings new and enhanced scientific features and methods for all users. These include...
Building a blood-brain barrier penetration model in Flare™
Expanding Forge™ QSAR model building to work with custom descriptors Giovanna Tedesco†, Ryuchiro Hara† †Cresset, New Cambridge House, Bassingbourn...
Protein Dynamics and Drug Discovery: elevate your project development with Principal Component Analysis
Overview In drug discovery, detailed knowledge of protein-ligand interactions are key to understand the recognition processes between the...
Electrostatics of the Topliss tree
  A widespread problem in drug discovery had been to find the optimum substitution on a benzene ring or on the benzenoid portion of a fused ring...
Enhancing QSAR Models: tackling descriptor intercorrelation with robust Gradient Boosting Machine Learning models in Flare™
In a typical drug discovery scenario, we often deal with large numbers of compounds, their associated properties, and activities gathered from...
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