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Cell2Chem: mining explored and unexplored biosynthetic chemical spaces
Dongliang Liu1, Mengying Han1, Yu Tian2
1CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China.
Cell2Chem is a new web server that links organisms to compounds and their biosynthesis pathways. This tool aids in exploring chemical spaces and advancing synthetic biology research.
Area of Science:
- Biochemistry
- Bioinformatics
- Synthetic Biology
Background:
- Living cell strains are crucial for synthesizing native compounds and exploring chemical spaces.
- Understanding biosynthesis pathways is key to unlocking the potential of these cell strains.
Purpose of the Study:
- To present Cell2Chem, a web server designed to accelerate the search for compounds within organisms.
- To facilitate the investigation of biosynthesis in both explored and unexplored chemical spaces.
Main Methods:
- Utilized co-occurrence networks and natural language processing to link organisms with biosynthesized compounds.
- Integrated in silico prediction methods for reaction pathways and enzyme functions.
- Developed a platform comprising 40,370 species and 125,212 compounds.
Main Results:
- Cell2Chem systematically links living organisms to their biosynthesized compounds and production processes.
- The platform predicts potential biosynthetic pathways and catalytic protein functions.
- Expanded the scope of unexplored biosynthetic chemical spaces.
Conclusions:
- Cell2Chem enhances the efficiency of synthetic biology research.
- The tool aids in improving biosynthesis research by providing systematic data linking organisms and compounds.
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