Infinite Intelligence
Pharma
Insight & Innovation for Drug Discovery
深思明辨,百药可成
Infinite Intelligence
Pharma
Insight & Innovation for Drug Discovery
深思明辨,百药可成
IIPharma
Infinite Intelligence Pharma, officially launched in 2019, uses artificial intelligence technique to accelerate drug discovery process. Our drug discovery R&D platform PharmMind, which integrates human expertise, state-of-art AI algorithms and cutting-edge drug design methods are designed to addresses key problems in early stage of drug discovery.

PharmaMind
PharmaMind
Technology

分子探索3D
MolExplorer3D
- Stimulate your inspiration by effectively explore compound scaffolds that can potentially bind to specific targets.
- Based on the target structure, use deep learning technology to generate molecules with good drug-like properties and high potential binding ability.
分子优化3D
MolOptimizer3D
- Optimize the structure of hit/lead-based on binding affinity, druggability, and synthesis feasibility.
- Improve biological activity as well as pharmacokinetic properties.
- Reduce toxicity to obtain safe and effective drug candidates for subsequent development.


分子优化3D
MolOptimizer3D
- Optimize the structure of hit/lead-based on binding affinity, druggability, and synthesis feasibility.
- Improve biological activity as well as pharmacokinetic properties.
- Reduce toxicity to obtain safe and effective drug candidates for subsequent development.

分子搜索
MolSearcher
- Search other potential active small molecules based on reference ligands.
- Use multi-dimensional similarity index based on deep learning to expand the search of chemistry space.
分子评估
MolEvaluator
Use a variety of models that integrate artificial intelligence and computer-aided drug design to evaluate the multi-dimensional properties of a compound
- Physical and chemical properties
- ADMET properties
- Druggability
- Synthesis feasibility
- Docking scoring and pharmacophore matching scoring
etc.


分子评估
MolEvaluator
Use a variety of models that integrate artificial intelligence and computer-aided drug design to evaluate the multi-dimensional properties of a compound
- Physical and chemical properties
- ADMET properties
- Druggability
- Synthesis feasibility
- Docking scoring and pharmacophore matching scoring
etc.

虚拟筛选
MolDOCKingVS
- Virtual screening with artificial intelligence can quickly screen ultra-large-scale compound libraries and increase the probability of obtaining highly active compounds.
逆合成分析
MolSynthesize
- The synthesis process of new molecules either by generation or modification is not easy. Therefore, solving the synthesis problems of the designed molecules is the key step for actual verification.
- Reverse synthesis analysis based on fast heuristic enhanced tree search algorithm helps synthesizers arrange the order of experiments and obtain compounds faster.
- Evaluating the synthesis feasibility and potential synthesis methods of compounds.


逆合成分析
MolSynthesize
- The synthesis process of new molecules either by generation or modification is not easy. Therefore, solving the synthesis problems of the designed molecules is the key step for actual verification.
- Reverse synthesis analysis based on fast heuristic enhanced tree search algorithm helps synthesizers arrange the order of experiments and obtain compounds faster.
- Evaluating the synthesis feasibility and potential synthesis methods of compounds.

互动分子设计
MolInteractive
- The incorporation of human expertise and artificial intelligence via a well-designed interactive molecular design process is an ideal way to improve the success rate of design, which makes the design process stable and controllable.
分子数据挖掘
MolDataMiner
- Use combined advanced deep learning technology (natural language processing technology, image recognition technology, graph neural network technology, etc.) to build a knowledge graph.


分子数据挖掘
MolDataMiner
- Use combined advanced deep learning technology (natural language processing technology, image recognition technology, graph neural network technology, etc.) to build a knowledge graph.

团队成员

裴剑锋 博士
首席科学家
About us

徐优俊 博士
联合创始人
t us

张伟林 博士
联合创始人
团队成员
About us

裴剑锋 博士
创始人

徐优俊 博士
首席技术官

张伟林 博士
首席科学家
