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.

Documentation