LEMONS
LEMONS enumerates hypothetical modular natural product structures and evaluates molecular similarity methods to characterize natural-product chemical space and support microbial genome mining.
Key Features:
- Modular natural product enumeration: Enumerates hypothetical modular natural product structures to generate candidate molecules within natural-product chemical space.
- Molecular similarity comparison: Conducts comparative analysis of various molecular similarity methods specifically tailored for natural products.
- Controlled synthetic data analyses: Generates and analyzes controlled synthetic datasets to study how biosynthetic parameters influence similarity searches.
- Natural product retrobiosynthesis and alignment: Implements a recently described algorithm for natural product retrobiosynthesis and alignment.
- Performance benchmarking against 2D fingerprints: Compares results to conventional two-dimensional fingerprints and can outperform them when rule-based retrobiosynthesis is applicable.
- Targeted chemical-space exploration: Facilitates targeted exploration of natural-product chemical space for hypothesis-driven analyses.
Scientific Applications:
- Molecular similarity benchmarking: Benchmarking and performance analysis of molecular similarity methods for natural products.
- Chemical-space exploration: Exploration and enumeration of potential natural-product configurations within unique chemical space.
- Microbial genome mining: Supporting targeted investigations in microbial genome mining by linking biosynthetic logic to candidate structures.
- Assessment of biosynthetic parameter effects: Studying how variation in biosynthetic parameters affects similarity search outcomes.
- Support for drug discovery: Enabling analyses relevant to natural-product-based lead identification and drug discovery research.
Methodology:
Enumeration of modular natural product structures, generation and analysis of controlled synthetic datasets to vary biosynthetic parameters, application of a recently described natural product retrobiosynthesis and alignment algorithm, and comparison against conventional two-dimensional fingerprint methods (including rule-based retrobiosynthesis comparisons).
Topics
Details
- Tool Type:
- library
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Java
- Added:
- 8/29/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Skinnider MA, Dejong CA, Franczak BC, McNicholas PD, Magarvey NA. Comparative analysis of chemical similarity methods for modular natural products with a hypothetical structure enumeration algorithm. Journal of Cheminformatics. 2017;9(1). doi:10.1186/s13321-017-0234-y. PMID:29086195. PMCID:PMC5559407.