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"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...
On-demand Webinar - Successful Hypothesis and Synthesis Management with Design Hub
In this webinar Dora Barna presents how Design Hub facilitates data-driven decision making and...
Chemical Data Migration best practices - Stage 1: Project Planning and Data Assessment
Whitepaper on best business practices, for data migration
Chemaxon upgrades to Java 17
Effective August 8th 2023, all new releases of Chemaxon software will require Java 17 or later as...
Overcome challenges in collaborating with CROs - Documentation
Optimize CRO collaboration and documentation challenges with Design Hub's streamlined solutions for...
Overcome challenges in collaborating with CROs - Aspects of collaboration
Compound prioritization collaboration in the pharmaceutical industry with Chemaxon's Design Hub - a...