Application Filter: Compound idea generation

Application of generative AI to design covalent inhibitors of prolyl oligopeptidase
Generative chemistry is revolutionizing drug discovery, using AI to efficiently explore entirely new areas of chemical space in the search for...
What rings do medicinal chemists use, and why?
We analyzed ring systems and substitution patterns from the literature, and identifyed the best bioisosteric replacements for each system....
Finding Spirocyclic and Strongly sp3 Cores as Scaffold and R-group Replacements
We show how Spark™ can focus searches on sp3 rich fragments to achieve compound designs with improved properties
R-Group replacement
Find novel, biologically relevant R-Groups for your molecules
Discovery and development of EP652, A METTL3 Inhibitor with efficacy in liquid and Solid Tumour Models
We highlight computational analysis and modeling that facilitated in-silico design; providing a potent, active and tractable METTL3 inhibitor...
Free Energy calculations and bioisosteric replacement studies for identification of potential inhibitors of SARS-CoV-2 Mpro cystein protease
Objective Cresset Discovery Services, specialists in Free Energy Perturbation (FEP) methods, carried out an FEP study on a dataset of compounds...
Compound idea generation
Compound idea generation is the process of designing new molecular structures likely to bind a biological target, using structural insights,...
Flare™ V11 released: Generative AI tools, constrained Protein-Protein Docking, detached calculations and many more enhanced features
We are excited to announce the latest release of Flare V11, which brings a range of new features and significant enhancements designed to make computational...
MolGenAI
AI-driven new molecule generation
Macrocyclization
Drug difficult binding pockets using ligand macrocyclization
Water Replacement
Pick up additional ligand-protein interactions by displacing crystallographic waters