In this free webinar, learn approaches to streamlining the integration of chemistry, biology and computational data streams in modern drug discovery. Attendees will gain insight into methods for optimizing resource allocation and prioritization between computational predictions and experimental validation. The featured speakers will share novel approaches to harmonizing diverse data sources for the identification of therapeutic opportunities. The speakers will also discuss applications of generative AI models in designing for novel targets and binding pockets.
TORONTO, June 2, 2025 /PRNewswire-PRWeb/ -- As pharmaceutical research becomes increasingly data-driven, managing the integration of computational predictions with experimental results presents a growing challenge. This webinar will examine data management methodologies for complex data sets in pharmaceutical research, as demonstrated by experts from Congruence Therapeutics.
Central to the discussion is the implementation of an integrated platform for computational drug discovery, with a focus on small molecule correctors for protein misfolding diseases. The webinar highlights how diverse data sets generated during research require structured management processes to ensure data integrity across the discovery workflow. It also examines how a centralized experimental data repository can be effectively connected with proprietary computational systems to support seamless data integration.
The technical content covers four primary methodological approaches:
- Centralized data architecture with enhanced security protocols
- Standardized integration methods for computational predictions and laboratory measurements
- Controlled data exchange procedures between internal teams and external collaborators
- Workflow automation techniques that preserve data integrity during multi-phase research cycles
These data management strategies have led to measurable gains in research efficiency over traditional approaches. The webinar outlines practical steps and implementation details for organizations looking to adopt similar data integration methods.
Experimental case studies will illustrate how these techniques are applied throughout the drug discovery process — especially during the critical transition between computational hypothesis generation and experimental validation protocols.
Register for this webinar to explore practical data management strategies for handling complex data sets across diverse research environments. Learn how to effectively align computational and experimental approaches as complementary investigative pathways in drug discovery.
Join experts from Congruence, Lee Fader, PhD, VP of Chemistry; Jeremy Dupaul-Chicoine, PhD, Associate Director of Biology; and Maximilian Ebert, PhD, Executive Director, Computational Chemistry, for the live webinar on Thursday, June 12, 2025, at 12pm EDT (9am PDT).
For more information, or to register for this event, visit Driving Agility in Drug Discovery: Integrating Predicted and Empirical Data.
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Vera Kovacevic
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