DrugSpace Symposium Spring 2023

Connect the Dots for Future Drug Discovery

In our third virtual BioSolveIT DrugSpace Symposium, focus is placed on the recent trends that transform modern drug discovery: machine learning, artificial intelligence, neural networks, and processing big data.
Can recent developments live up to the hype around AI, or is there still a long way to go? This event brings researchers together who aim to discover future drug candidates from a myriad of data flows. An exciting journey lies ahead of us!

Medicinal chemists, decision makers, representatives of crop-, pharmaceutical-, and medicine-related businesses, undergraduates and PhD students, researchers — simply anyone interested in future technologies and state-of-the-art drug development — you are cordially invited to participate in this virtual event. Again, this BioSolveIT Symposium aims to be accessible to the entire global research community; BioSolveIT takes pride in thanking all brilliant speakers and participants for their contribution to the event in advance.

The third DrugSpace Symposium takes place on 24 and 25th May, 2023 — starting daily at 3 pm CEST/Berlin. Registration and participation is free-of-charge.

Register for free for the DrugSpace 2023 Symposium

DrugSpace 2023 Programme

Once again, we are very proud to host renowned experts in their fields from around the globe, contributing their knowledge to the scientific community.
DrugSpace 2023 Programme (PDF)

Follow Us on Social Media

Don't want to miss the latest BioSolveIT updates on upcoming events, success stories, and software updates?
Follow us on our social media channels, and be always up-to-date with the latest developments in the drug discovery community.
LinkedIn Youtube Twitter Facebook
Join the Chemical Space Club

Join the Chemical Space Club

Enthusiasts of Chemical Spaces are invited to join the Chemical Space Club on LinkedIn.

Share information, early announcements, publications, success stories, and anything else related to huge chemistry spaces and databases. Become a member, and feel free to contribute.
Learn More

Confirmed Speakers

  • Philippe Schwaller
    (École Polytechnique Fédérale de Lausanne)
    "AI-Accelerated Organic Synthesis"
  • Quentin Perron
    (Iktos)
    "Yes, You Should Use AI for Medicinal Chemistry"
  • Léa El Khoury
    (Qubit)
    "Application of Absolute Binding Free Energy Calculations to Predict the Binding Modes and Affinities of Protein-Protein Inhibitors"
  • Francesca Grisoni
    (Eindhoven University of Technology)
    "Deep Learning for Drug Discovery: Challenges and Opportunities"
  • Marcus Gastreich
    (BioSolveIT)
    "Claw Machines for Exploding Chemical Spaces"
  • Yurri Moroz
    (Chemspace)
    "Making Virtual REAL: Creation and Use of the Giga-Scale Chemical Spaces"
  • Dusan Petrovic
    (Nuvisan)
    "Virtual Screening for Multiple Modalities"
  • Connor Coley
    (Massachusetts Institute of Technology)
    "Learning to Navigate Synthetically Accessible Chemical Space"
  • Henry van den Bedem
    (Atomwise)
    "An Efficient Graph Generative Model for Navigating Ultra-Large Combinatorial Synthesis Libraries"
  • Nick Antonopoulos
    (DeepLab)
    "Scalable and High-Throughput Deep Neural Virtual Screening"
  • Lewis Martin
    (OpenBench)
    "Fast and Economical Hit Finding with Active Learning"
  • Daniel Kuhn
    (Merck)
    "You Can't Improve What You Don't Measure — Measuring ML/AI Impact in Drug Discovery Projects"
  • Christoph Grebner
    (Sanofi)
    "AI-Driven Mining of Accessible Chemical Spaces"

Latest 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
category
Webinars
Why AI Can't Produce Novelty: How to Build Workflows for IP Generation
Wed, 28 Jan 2026, 16:00 CET (Berlin)
AI and machine learning can achieve a lot in drug discovery, but a fundamental limitation often shows up when you push beyond known chemistry: the generation of truly novel, viable scaffolds. Most workflows learn from existing data and can reliably suggest candidates that improve properties within familiar chemical space. But...
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