Predicting binding affinity doesn’t work — or does it?

webinar

Tue, 16 Jun 2015, 19:00 CEST (Berlin)

Dr. Carsten Detering, BioSolveIT GmbH, St. Augustin, Germany

Predicting binding affinity doesn’t work — or does it?

Predicting binding affinity is still regarded as the holy grail. With SeeSAR, however, we are one step closer to accurately and reliably predict a protein-ligand’s binding affinity. What one often neglects is the accuracy of the data, and that, especially in brute force correlation analysis, we might compare apples with oranges.

SeeSAR will tell you where the problems are. So you can understand, without looking at any numbers, where you might have to optimize or where a crystal structure might not be credible. Because they are not, as Derek Lowe once put it, a “message from God”, but full of assumptions themselves. If we start to understand incorporate this in our work, we will see calculated binding affinity in a whole new (green) light.

Current news

category
Events
BioSolveIT at 34th GP2A 2026 Conference on Medicinal Chemistry in Gothenburg
December 17, 2025 15:19 CET
BioSolveIT is honored and excited to participate in the 34th GP2A 2026 Conference on Medicinal Chemistry in Gothenburg. From August 26 to 28, 2026, the Group for the Promotion of Pharmaceutical Chemistry in Academia (GP2A), a member-led network of academic medicinal chemists working at universities and research institutes in Europe,...
Read on
BioSolveIT wrapped 2025
December 15, 2025 06:18 CET
Our Year in Drug Discovery In 2025, we focused on bridging the gap between computational prediction and compound tangibility. Along the way we refined and evolved our platforms to ensure that drug discovery is not only faster, but also more accessible and reliable for researchers everywhere. This year saw the...
Read on
category
Challenge
Emina Yekt Yilmaz Wins Scientific Challenge Winter 2024!
December 9, 2025 14:52 CET
It is our greatest pleasure to announce the winner of the Winter 2024 edition of the Scientific Challenge: the winner is Emine Yekta Yilmaz from Haceteppe and Gazi Universities (Ankara, Turkey) with her project ‘Leveraging AI and Physics-Based Screening for the Identification of sEH Inhibitors’. Based on standardized compound datasets...
Read on