Suzhou Proton Unfold Technology Co., Ltd.
Proton Unfold builds AI research infrastructure that accelerates drug discovery and R&D decisions.
We turn models, research data, agents and domain knowledge into accessible tools for faster analysis and decisions.
Our core products, SciMiner and PatMap, support drug R&D computing and biomedical knowledge extraction.
Two complementary products for knowledge extraction and research computing.
SciMiner combines expert tools, data, agents and lab services for biomedical R&D.
It covers structure prediction, molecular and sequence design, screening, property scoring and synthesis planning. Use tools directly or ask the agent in natural language.
SciMiner also connects CRO and supplier services for expression, structure work, screening, efficacy, safety, DMPK and sourcing.
PatMap turns complex patents and papers into structured information ready for R&D analysis.
It extracts structures, activity tables, SAR and reactions, and integrates through SaaS or API.
Experience across AI drug discovery, computational chemistry and software.
PhD from ShanghaiTech; formerly led Pangu-Drug model R&D at Huawei.
Our team brings backgrounds in AI, computational chemistry, drug design, cheminformatics and software engineering.
The team has built tools including αExtractor, PatMap, Attentive FP, SurfDock, TransformerCPI, KinomeX, Graph-pKₐ, TG468, KinomeMETA and PBCNet.
Scientific expertise spanning drug discovery, AI and experiments.
Professor and NSFC Distinguished Young Scholar focused on AI-driven molecular design and discovery.
Group leader in synthesis, DEL technology and drug discovery; formerly a small-molecule scientist at GSK Boston.