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Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
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BCSExplorer: a customized biosynthetic chemical space explorer with multifunctional objective function analysis.
Yu Tian1,2, Ling Wu1, Le Yuan1,2
1Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, P.R. China.
Bioinformatics (Oxford, England)
|October 9, 2019
Summary
BCSExplorer is a new computational system that uses nature's biosynthetic potential to discover novel chemical compounds. It leverages a comprehensive reaction database and a biotransformation rule library to explore unexplored chemical spaces.
Area of Science:
- Biotechnology and Bioinformatics
- Computational Chemistry
Background:
- Living organisms possess biosynthetic capabilities crucial for producing chemicals, biofuels, and natural products.
- Exploring nature's biosynthetic potential offers a pathway to discover novel chemical compounds and applications.
Purpose of the Study:
- To introduce BCSExplorer, a computational system designed to explore unexplored chemical space using biosynthetic knowledge.
- To enable the discovery of new compounds by harnessing the biosynthetic potential of organisms.
Main Methods:
- Integration of a comprehensive biosynthetic reaction database (280,000 reactions, 60,000 chemicals).
- Computation of biosynthesis trees for molecules using a biotransformation rule library.
- Removal of redundant rules via a novel algorithm to optimize the exploration process.
Main Results:
- BCSExplorer provides a novel method for exploring biosynthetically available chemical space.
- The system integrates extensive biosynthetic data, enabling a systematic approach to discovery.
Conclusions:
- BCSExplorer represents a significant advancement in exploring chemical diversity through biosynthesis.
- Future studies will focus on analyzing the feasibility, drug-likeness, and toxicity of newly discovered compounds.
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