PandaOmics is an AI-enabled biological target discovery platform. It utilizes advanced deep learning models and AI approaches to predict the target genes associated with a given disease through a combination of Omics AI scores, Text-based AI scores, financial scores, and Key opinion leader (KOL) scores, and is currently being employed in both academic and industry settings. The algorithm also allows the prioritization of protein targets for novelty, confidence, commercial tractability, druggability, safety, and other key properties that drive target selection decisions.
Product website www.insilico.com/pandaomics
Features / strengths
1. The most advanced AI target discovery platform
2. Intuitive operation: zero bioinformatics experience is required
3. Data Sources: 1.9 Trillion data points including 10M+ samples OMICS database, 1B+ structures chemistry databases, and text database.
Specification in detail