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Structural Similarity Methodologies for Small Molecules
Small molecule structural similarity metrics are important in a number of drug discovery workflows,...
Ending the game of cat and mouse: The rise of structure-based generic definitions in Controlled Compound Legislation
Discover how the surge in generic drug legislation complicates identification of controlled...
Pharma use case with Design Hub: Digital workflow support for compound design
Design Hub case study - use case with a renowned German pharmaceutical company.
Chemical Data Migration best practices - Stage 4: Post-Migration Validation and Support
Maximize the value of your chemical data migration project. Explore the crucial stage of...
Chemical Data Migration best practices - Stage 3: Data Migration
Navigate the complexities of chemical data migration, from planning to production. Explore...
Improving Your Drug Discovery Workflow: Collaboration, Data Management, and Security
PPT administration is tedious and unreliable. How to keep track of drug discovery projects...
Roadblocks of DMTA project success - and how to eliminate them
Discover how to navigate complex challenges in your DMTA projects - make informed compound...
Why Are Medicinal Chemists Reluctant to Use AI/ML Tools?
There is a lot of current chatter about how AI/ML tools like ChatGPT will soon take over several...
Overcoming Medicinal Chemists’ Reluctance to Use AI/ML Tools
AI/ML tools in drug discovery, concerns about data quality and availability, interpretability of...
DMTA lead optimization: Where science meets project management
From hit identification to optimized leads; explore how effective project management techniques can...
Automated model building using only relevant features
Accelerate your drug discovery process: Create multiple models effortlessly with Trainer Engine and...
Chemical Data Migration best practices - Stage 2: Data Curation
How to make existing data - chemical structures along with their additional data - compliant with...