Data silos — An opinion
Data is difficult to handle - increasingly so as for efficiency's sake processes dictate multiple…
CertaraSeptember 2, 2024
Reactor in large library workflows
Explore the evolution of billion-scale chemical libraries, driven by advancements in cloud computing, AI/ML, and…
Jan ChristophersonAugust 8, 2024
Technical debt in software ownership and SaaS
Technical debt is unavoidable. How do you mitigate associated risks?
CertaraJuly 19, 2024
New feature release: Reaction enumeration in Design Hub
New Feature Release: Reaction Enumeration in Design Hub
CertaraJuly 16, 2024
Structural similarity methodologies for small molecules
Small molecule structural similarity metrics are important in a number of drug discovery workflows, such…
CertaraJune 13, 2024
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 compounds worldwide, and…
CertaraMay 14, 2024
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 post-migration…
CertaraMarch 11, 2024
Chemical data migration best practices – Stage 3: Data migration
Navigate the complexities of chemical data migration, from planning to production. Explore timelines, ETL methods,…
CertaraJanuary 30, 2024
Improving your drug discovery workflow: Collaboration, data management, and security
PPT administration is tedious and unreliable. How to keep track of drug discovery projects efficiently…
CertaraJanuary 10, 2024
Overcoming medicinal chemists’ reluctance to use AI/ML tools
AI/ML tools in drug discovery, concerns about data quality and availability, interpretability of decision-making, and…
CertaraNovember 2, 2023
