Periodic Insights: October 2025 Edition
This month in Periodic Insights, we look at why negative data matters, how to avoid retrosynthesis missteps, and the digital tools bridging lab research to industrial scale — plus a few lighter stories you won't want to miss.
Feature Story
Automating the Route to Better Molecules: Retrosynthesis, Negative Data & Predictive Design
Why do so many drug candidates fail before they even start? Discover how smarter computational planning can reduce waste, cut costs, and speed up the path to better molecules.
Inside the Lab
Why Negative Data is Critical for AI-Driven Drug Discovery (White Paper)
Your "failed" experiments aren't failures; they're training goldmines for AI models. Learn how negative data is impacting discovery.
5 Common Retrosynthesis Mistakes in In-Silico Drug Discovery (Blog)
Don't let these common pitfalls derail your computational retrosynthesis. Here's how to spot them first.
» Read More
Accelerating Chemical Synthesis from Lab to Industrial Scale (Webinar)
From predicting stereoselectivity to scaling up, see how digital tools are streamlining chemical development.
» Watch Webinar
From the Field
- Want to Do Disruptive Science? Include More Rookie Researchers (Nature): Teams with more early-career scientists tend to spark bolder, breakthrough ideas.
- 2025 Ig Nobel Prizes (C&EN): Tipsy bats, zebra cows, and other wonderfully weird science wins.
- The Rise of Agents: Computational Chemistry is Ready for (R)evolution (Polyhedron): Autonomous agents are moving from theory to practice, and could soon change the way chemists work.
Events
- Oct. 13 – 14, Gulf Coast Conference (Galveston, TX, USA)
- Oct. 21 – 22, ELRIG Drug Discovery (Liverpool, UK)
- Oct. 28 – 30, CPHI Frankfurt (Frankfurt, Germany)
Product Spotlight
SYNTHIA® Lab: Retrosynthesis for Every Lab!
Advanced retrosynthetic planning is now accessible to small academic groups and non-profits — with 50% off launch pricing! Discover routes to new molecules faster, at a fraction of the cost.
» Sign Up
