In the rapidly evolving landscape of drug discovery, the integration of artificial intelligence (AI) and machine learning (ML) technologies has become a cornerstone for accelerating and refining the research process. CDD Vault®, a secure, web-based chemical and biological data management platform, plays a pivotal role in this technological transformation. This presentation talk will explore how CDD Vault not only facilitates efficient data management, analysis and collaboration across multidisciplinary teams but also serves as an essential tool in implementing AI and ML techniques with its proprietary Deep Learning Zero Click AI model to perform a deep learning similarity search using CDD’s proprietary machine learning method in ChEMBL, SureChEMBL, Enamine and CDD Public data sets giving access to approx. 35 mil public data sets.

Collaborative Drug Discovery (CDD) provides a whole solution for today’s biological and chemical data needs, including the ability to register many different types of entities like DNA, RNA, and amino acid sequences. CDD Vault®  is differentiated from other platforms by ease-of-use and superior collaborative capabilities. The software includes Activity & Registration, Visualization, Inventory, Deep Learning, Advanced Curve Analytics and ELN capabilities. Researchers can archive, mine, and securely collaborate within CDD Vault.  Collaborative hypothesis generation and evaluation allow multiple perspectives for multi-parameter optimization.