Chemaxon newsroom
Discovery Europe 2024
Join us at the Discovery Europe event in Basel, Switzerland and engage with our experts about...
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...
"Make the company look like I won the lottery"
This article was originally published in Hungarian, in November 2023. Visit Publication Chemaxon...
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...
What is Kanban and how does it optimize early drug discovery projects?
Discover how Kanban optimizes early drug discovery projects. Visualize workflow, improve...