{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/a1aa7b5938684f40b61e3f7819fe2dd2\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/a1aa7b5938684f40b61e3f7819fe2dd2-e69becc4cfceb6aa.gif","duration":567.9,"title":"Lead Compound Analyzer ","description":"This Loom introduces PatSnap Life Science AI Suite’s Lead Compound Analyzer and demonstrates how to generate a lead and optimal molecule recommendation from a patent. The speaker explains that LCA mines dense patent documents to quickly identify the most relevant molecular structures, taking either a drug name or a specific patent number as input. Using a W.O. patent as an example, the agent produces a report with seven recommended optimal compounds and supporting data such as biological activity, structural information, predicted drug-like properties, and source links (for example, selectivity data via P164). The report also includes high-frequency fragment recommendations, toxicological and pharmacodynamic and ADMET prediction tables, and insights on scaffold optimization and selectivity enhancement, with options to share via a blue share button or export using an export button. "}