Self-driving laboratory framework for autonomous drug discovery: closed-loop optimization, multi-instrument orchestration, ADMET prediction, and experimental design. Integrates robotics, analytics, and machine learning for hands-free pharmaceutical research workflows.

NOCTURNAL: Exploring the dark chemical space. A streamlined computational drug discovery platform from target identification to optimized drug visualization. Featuring a unique molecular optimization algorithm "MutaGen" and an interactive chemical space visualization module "ChemNet". All reinforced behind a modular, fault-tolerant architecture.

A GNN-based platform for predicting novel drug-target interactions to accelerate R&D.

Initial release: Upadacitinib topical formulation verification (SEP-01 to EXP-03)

XtalPi — AI/quantum-physics drug discovery platform

PharmaDiscover, featuring a MoleculeSimulator application. It includes Razor pages, controllers, services, models, and database files, suggesting it is a web app with simulation and data processing capabilities.

Computational medicinal chemistry project integrating molecular docking, network pharmacology, and ADMET prediction to evaluate berberine as a potential therapeutic candidate against Type 2 Diabetes Mellitus.

Streamline pharmaceutical research & clinical trials with a customizable Notion template