StoneWise AI

Define New Paradigm for Faster and Better Drug Discovery

Expand the Boundaries of Life, Find Cures for Every Disease

Focus on the critical part of drug design, our company starts with molecule generation

to unlock a new era of AI-driven drug discovery

How do we quickly identify target molecules within the 10^60 potential druggable chemical space?

v "Dual-Path Data Strategy" integrates multi-dimensional data and combines expert insights to build unique StoneWise Data Assets

v Integrate language models and geometric deep learning to guide the model in generating 3D molecules that balance chemical structure rationality and target specificity

v Adopt a stepwise evaluation method to assess the molecular conformation validity, target affinity, and scaffold novelty of model generation results in phases, and guide model iteration with industrial-oriented standards

Developing a Series of Best-in-Class, Differentiated Oral Small-Molecule Drug Candidates Through Our Cutting-edge AI Molecular Generation Platform

Starting with Drug Design, Powered by Advanced Generative AI Capabilities, Integrating Industry Know-How in Medicinal Chemistry, Computational Chemistry to Accelerate the DMTA Cycle, Reduce Early-Stage Drug R&D Costs, and Boost R&D Efficiency & Success Rate

Design

Our multimodal AI 3D molecule generation model, which supports molecule generation based on empty protein pockets, fixed reference fragments, or pharmacophore guidance. We also enable R-group derivation optimization and scaffold hopping based on reference molecules, helping R&D teams quickly explore active drug candidates with rational chemical structures and novel molecular conformations.

Test

Our platform integrates a series of computational chemistry evaluation tools, including compound structure & molecular information extraction, protein-ligand interaction analysis based on molecular dynamics simulation, and relative binding free energy calculation. This allows users to complete the entire Dry Lab process from molecule generation to optimization and analysis in a one-stop solution.

Analyze

Through Wet Lab verification and data analysis, we comprehensively evaluate the stability, efficacy, and potential risks of our molecules, ensuring the scientific validity and reliability of R&D results.

Make

We rely on our physical compound libraries and CRO synthesis services to ensure the rapid conversion of virtual molecules into real compounds, shortening the cycle from design to experimental verification. Building on our library of over 26 million high-purity compounds, we synthesize over 60,000 new compounds annually, and the diversity of their molecular structures covers a broad chemical space.

Latest Progress