Skip to main content
search

Optimizing Data-Driven Drug Design with AIDDISON™ Software & GOSTAR®

Join us for an enlightening webinar as we delve into the realm of data-driven drug design with AIDDISON™ Software and GOSTAR® databases. If you’re grappling with data limitations and facing dead-end leads in your small molecule drug discovery endeavours, this webinar is tailored for you. Discover how the latest integration of AIDDISON™ with GOSTAR®’s robust databases can empower medicinal chemists like never before, revolutionizing your workflows and accelerating your drug discovery journey.

Register now to embark on a transformative journey and unlock the full potential of data-driven drug discovery with AIDDISON™ and GOSTAR®!

Date: Thursday, March 14, 2024
Time: 2:00 PM SGT
Duration: 1 hour

Share with your friends:

Register Now

Key Takeaways

GOSTAR® is the driving force behind AI/ML innovations in drug discovery, offering an unparalleled structure-activity relationship (SAR) dataset.

GOSTAR® sets a new standard in predictive modeling for AI/ML with a quality-assured dataset, certified by QMS-ISO.

With access to data on 77k+ biological targets and insights from 12k+ abstracts and conferences, GOSTAR® assists AI/ML companies in making informed decisions.

Integrate GOSTAR® seamlessly into your AI/ML infrastructure using our robust APIs, tapping into a vast array of SAR data.

About the Speakers

– Ashwini Ghogare

Head of AI and Automation, Drug Discovery, Merck KGaA, Darmstadt, Germany
A leader in transformational drug discovery technologies with extensive experience in software development, new business incubation, and software product sales.

– Norman Azoulay

Director of Scientific Products, Excelra
A seasoned scientific product leader specializing in building data-driven solutions to support drug discovery and development, as well as advancing AI/ML innovation in the Pharma-Biotech sector.

– Nishanth Kandepedu

Senior Product Manager – GOSTAR®, Excelra, India
With over a decade of experience in handling and analyzing data derived from medicinal chemistry programs, Nishanth specializes in the intricacies of the Design-Make-Test-Analyze (DMTA) cycle.

– Prasad Bidwe

Senior Sales and Product Specialist – APAC region AIDDISON™

Please fill the form


"*" indicates required fields

This will close in 0 seconds