首页关于道一研发平台优势产品在研管线商业模式合作洽谈
使命

为了更安全的疾病治愈

Safer cures through safer delivery

道一把「更安全」放在所有指标之前:更低免疫激活、更低炎症刺激、更低毒性、可重复给药。递送技术不是为了把更多药送进去,而是为了让患者能长期安全地用药。

Safety comes before every other metric at Harmony Tao: lower immune activation, lower inflammatory stimulation, lower cytotoxicity, repeat dosing. Delivery is not about pushing more drug in — it is about letting patients stay on therapy safely, for longer.

我们相信什么What we stand for

企业文化

Culture & Mission

安全优先

Safety first

肝靶向 LNP 平台的每一代优化,都以「更高表达、更低免疫激活、更低炎症刺激」为验收标准。

Every generation of our liver-targeted LNP platform is judged by three numbers: higher expression, lower immune activation, lower inflammation.

数据说话

Evidence, not adjectives

转染效率、细胞毒性、组织表达分布均以对照实验数据呈现;不写没有实测支撑的性能结论。

Transfection efficiency, cytotoxicity and tissue expression are presented as controlled data. We do not claim performance we have not measured.

开放共创

Co-create

与长三角、川渝、北方及美国 Biotech 与药企就基因编辑、siRNA、mRNA 项目展开递送层合作。

We partner with biotechs and pharma across China and the US on the delivery layer of gene editing, siRNA and mRNA programs.

组织架构

How we are organised

道一采用「科学团队 + 四个技术单元 + 商务项目」的扁平结构:脂质化学、递送制剂、生物学评价、AI 数据四条线各自独立又共用同一套数据库。

Harmony Tao runs a flat structure of a scientific founding team, four technical units and a business/programme office: lipid chemistry, formulation, biological evaluation and AI/data — independent, but sharing one database.

脂质材料设计与合成

Lipid design & synthesis

新型可电离脂质结构设计、合成与纯化;构建用于被动靶向的 Lipid 分子库。

Design, synthesis and purification of novel ionizable lipids; building the passive-targeting lipid library.

LNP 处方与理化表征

LNP formulation & characterisation

处方筛选、粒径 / 电位 / 包封率等理化参数表征,形成 T-LNP 处方数据库。

Formulation screening plus size, zeta potential and encapsulation efficiency characterisation feeding the T-LNP formulation database.

体内外转染与药效评价

In vitro & in vivo evaluation

Lipoeasy® 工具完成的体外细胞转染验证与体内动物药效模型评价。

Cell-level transfection validation with Lipoeasy® and in vivo animal efficacy models.

AI 建模与数据(ADDS)

AI modelling & data (ADDS)

用体内外实测数据训练预测模型,支撑脂质 / 处方的高效筛选。

Training predictive models on measured in vitro / in vivo data to accelerate lipid and formulation screening.

核心团队

Founding team

戚建平

Jianping Qi, PhD

复旦大学药学院教授Professor, School of Pharmacy, Fudan University

多肽、蛋白、核酸类药物的纳米递送技术

Nanoscale delivery of peptide, protein and nucleic acid drugs

丁宁

Ning Ding, PhD

复旦大学药学院教授Professor, School of Pharmacy, Fudan University

新型脂质材料结构设计与合成

Structural design and synthesis of novel lipid materials

程娟

Juan Cheng, PhD

连续创业者Serial entrepreneur

公司运营、项目评估、项目执行

Company operations, project evaluation and execution

团队信息依据公司对外材料整理;具体职务与最新成员名单以公司公告为准。