With a 7+ year history of bringing together the global research community to tackle the challenges that the discovery scientists face, World BI prides itself on organizing Drug Discovery V-Forum, a fully virtual conference, in April 2021. Delivering 2 days of top-level strategic content and the current scientific insights, networking, and discussion from leading global pharmaceuticals.

Join 150+ attendees to explore the latest trends & strategies within Discovery Research. This fully online event will be a mixture of on-demand and live sessions so you can join the best in class scientific discussions from the comfort of your home office. This year’s conference will highlight the challenges discovery pipelines have faced due to COVID-19 and put a spotlight on the adoption of technology to combat these.

The All-New Agenda

AI In Drug Discovery

  • Application of Artificial Intelligence in COVID-19 Drug Repurposing
  • AI Driven Drug Discovery Models

Lead Generation Strategies

  • Hit Triage and Validation Strategies
  • Chromatography-Free High-Throughput Mass Spectrometry

Biologics Drug Discovery

  • The Next Generation of Biological Therapeutics – A Systematic Review
  • Developing Cyclic Peptides into Therapies

Fragment - Based Drug Discovery

  • 3D Scaffolds for Fragment-Based Drug Discovery
  • Implications of Structural Fluctuations for Fragment-Based Drug Design

Preclinical Strategies, Models And Tools In Oncology

  • Oncology Treatment in the Era of COVID-19
  • Preclinical Collaboration to Improve Oncology Drug Development

COVID-19 Spotlight: RNA As A Drug Target

  • Current Approaches for the Analysis of SARS-CoV-2 RNA Polymerase as a Potential Drug Target
  • Small Molecule-RNA Targeting

Novel Drug Target Discovery & Validation

  • State-of-the-Art Chemoproteomic Technologies
  • Advancements in Genome Editing

Advances In Medical Chemistry

  • The Medical Chemistry in the Era of Machines and Automation
  • The Evolving Role of Machine Learning and AI in Computational Chemistry

Advances In Drug Design

  • Computer Aided Drug Design Approaches against SARS-CoV-2
  • Deep Generative Models for Target-Specific & Selective Drug Design