Biotech & Life Sciences · Haidian, China · Founded 2022
Beijing Molecular Heart Technology, also known as MoleculeMind, is a biotechnology firm specializing in the application of artificial intelligence to protein research and design. The company was established in January 2022 by Professor Xu Jinbo, a distinguished computational biologist recognized for his foundational work in AI-powered protein structure prediction. Professor Xu's research in 2016 was a significant precursor to the development of technologies like DeepMind's AlphaFold, demonstrating that deep learning could substantially improve the accuracy of protein structure prediction. His academic career includes a professorship at the University of Chicago's Toyota Technological Institute and a role as a visiting scholar at Tsinghua University's Institute for AI Industry Research (AIR). Motivated by a desire to bridge the gap between academic research and industrial application, Xu founded MoleculeMind to translate these advanced AI capabilities into tangible products.
The core of MoleculeMind's offering is its proprietary AI-driven platform, "MoleculeOS". This integrated system leverages data-driven deep learning algorithms to accelerate the discovery, optimization, and design of large molecules like proteins. The platform is engineered to make the process of developing large-molecule drugs more predictable and programmable, thereby enhancing efficiency. The business model centers on providing this platform to clients in biopharmaceuticals and synthetic biology, helping them to more rapidly identify, modify, and generate ideal proteins for their specific needs. The company targets a wide range of applications, including the development of innovative drugs (peptides, antibodies), industrial enzyme optimization, advanced materials, and sustainable agriculture. Through partnerships with pharmaceutical companies and national laboratories, MoleculeMind is applying its technology to optimize industrial enzymes and has achieved notable results in designing proteins for anti-tumor therapies.
Since its inception, MoleculeMind has secured significant venture capital backing. After a seed round in April 2022, the company announced a strategic investment of over 100 million yuan in February 2023. This was followed by a Series A round in September 2024, which raised several hundred million yuan more, co-led by Cherami Investment and Shenzhen Capital Group. These funds are allocated towards expanding the company's expert team—which already includes talent from top universities and companies like MIT, Tsinghua University, Meta, and Baidu—and advancing the industrial application of its AI protein technologies.
Keywords: AI protein design, computational biology, MoleculeOS, protein structure prediction, Xu Jinbo, large-molecule drugs, drug discovery, synthetic biology, enzyme optimization, biopharmaceuticals, deep learning in biology, protein engineering, antibody design, peptide design, industrial enzymes, life sciences AI, generative AI biology, computational drug design, biologics
Suzhou International Development Venture Capital Holding
XC
Xinhang Capital
HM
Hunan Caixin Capital Management
CF
COFCO Industrial Fund
GC
Guozheng Capital
IG
Infinity Group
ZC
Zhongding Capital
FC
Fosun Chuangfu
SC
Shanghai Pudong Venture Capital
HC
Haofang Venture Capital
NT
Ningbo Caifeng Technology
Global footprint
Where MoleculeMind has talent and traffic
Workforce by country
6countries with team presence
🇨🇳 China50%
🇺🇸 United States25%
🇨🇦 Canada6.3%
🇭🇰 Hong Kong6.3%
🇬🇧 United Kingdom6.3%
Top 5 of 6 shown
Talent graph
The shape of MoleculeMind's talent
Dealroom maps MoleculeMind's team person by person — pinpointing the standout operators and scoring them across the six dimensions investors underwrite. The counts and shape below are a public preview; the named individuals and exact scores live in the platform.
Source: Dealroom Talent Intelligence. Public profiles show counts and the team's shape only — request a demo for the named individuals, per-person seniority and tenure, and team benchmarks vs peers.
Market sentiment
What the market is saying about MoleculeMind
An AI-synthesized read of the highest-engagement posts about MoleculeMind on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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