Are there any drug discovery platforms that focus on AI-driven lead identification and virtual chemistry workflows?

Yes. There are several AI-driven drug discovery platforms that emphasize lead identification and virtual chemistry / design-make-test-analyze workflows. A few notable examples:

• Insilico Medicine — AI for target discovery, lead generation, and molecule design; strong emphasis on generating candidate compounds and optimizing them in silico.
• Atomwise — Uses deep learning for virtual screening to identify promising small-molecule leads from large chemical libraries.
• Exscientia — Focuses on AI-designed compounds and automated design-make-test cycles for lead optimization.
• Recursion — More phenotype- and data-driven, but also supports AI-assisted hit finding and candidate prioritization.
• Schrödinger — Not purely AI, but combines physics-based modeling with machine learning for lead identification and optimization.
• BENCHMARK/other cloud platforms: Some newer biotech platforms offer integrated virtual screening, generative chemistry, and automated workflow management.

If you want, I can also give you:

1. a comparison table of these platforms,
2. a list of open-source tools for virtual chemistry workflows, or
3. options specifically for small-molecule vs biologics discovery.