CompRet

CompRet enumerates exhaustive synthetic routes within a chemical reaction network to support computer-assisted synthesis planning (CASP) by providing comprehensive candidate pathways for target molecules.


Key Features:

  • Algorithmic Enumeration: CompRet employs an exact, mathematically guaranteed enumeration algorithm to list all possible synthetic routes within a specified chemical reaction network.
  • Criteria-Based Recommendations: CompRet generates recommendations of synthetic routes tailored to chemist-specified criteria such as yield optimization, cost-effectiveness, and environmental considerations.
  • Chemical-Reaction-Network Integration: CompRet leverages the structure of chemical reaction networks to systematically explore and identify all feasible pathways between starting materials and targets.

Scientific Applications:

  • Route exploration and optimization: CompRet provides comprehensive alternative synthetic strategies for target compounds to aid selection and optimization in CASP workflows.
  • Case study — cetirizine: CompRet was demonstrated on cetirizine to produce alternative synthesis routes for a known antihistaminic drug.
  • Research and discovery: CompRet enables identification of novel synthetic pathways and supports discovery and development efforts in chemistry and pharmaceutical research.

Methodology:

CompRet uses an exact, mathematically guaranteed enumeration algorithm that systematically traverses the chemical reaction network to identify and enumerate all possible synthetic routes; route recommendations are produced according to specified criteria.

Topics

Details

Tool Type:
command-line tool
Programming Languages:
Java, Python
Added:
1/18/2021
Last Updated:
2/17/2021

Operations

Publications

Shibukawa R, Ishida S, Yoshizoe K, Wasa K, Takasu K, Okuno Y, Terayama K, Tsuda K. CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration. Journal of Cheminformatics. 2020;12(1). doi:10.1186/s13321-020-00452-5.

PMCID: PMC7465358
Funding: - New Energy and Industrial Technology Development Organization: P15009 - Core Research for Evolutional Science and Technology: JPMJCR1502 - Exploratory Research for Advanced Technology: JPMJER1903