Antima Gupta, PhD. is an Application Scientist in the technical support team at Collaborative Drug Discovery based in the UK. As a skilled data solution scientist she is dedicated to educating the CDD community with best data management practices and bettering the user experience with reliable workflows. With her vast scientific skills, in-depth knowledge and client-focused energetic work attitude, she enjoys resolving technical issues. Before joining CDD, she worked as a Biological Scientist towards hit-to-lead and lead optimization of pre-clinical research projects at Salvensis/London School of Hygiene and Tropical Medicine and other institutes in UK. She received her PhD in Molecular Microbiology for target identification and validation followed by UNESCO-L'Oreal International Young Women Scientist award to broaden her horizon in high throughput drug discovery project. During her 10+ years lab-based research career, She focused on drug development for neglected tropical diseases and multi-OMICS projects for biofuel production.
This session will explore CDD Vault’s AI-driven platform for therapeutic design, property prediction, assay output estimation, protein structure prediction, and ligand binding analysis. Users can efficiently design and explore novel chemical designs, modified peptides, oligonucleotides, and conjugates while managing large datasets. The zero-click model automatically applies predictive algorithms to user's own data, alongside Boltz2, DiffDock, AlphaFold, and Bioisostere suggestions. Attendees will learn about the workflows for analyzing and visualizing complex datasets, collaborating across teams, and maintaining secure, accessible data. The session will demonstrate how automated, data-driven approaches accelerate insights and decision-making for both small-molecule and macromolecule research.
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