LibINVENT

LibINVENT generates focused, core-sharing virtual chemical libraries by reaction-based scaffold decoration to support de novo drug design and lead optimization.


Key Features:

  • Core-Sharing Library Design: Creates virtual chemical libraries in which all compounds share a defined molecular scaffold (core), facilitating comparative analysis during lead optimization.
  • Reaction-Based Scaffold Decoration: Uses user-specified chemical reactions to guide scaffold decoration and control the chemical diversity of generated compounds.
  • Maximization of Desirable Properties: Optimizes molecular properties such as potency, selectivity, and pharmacokinetic profiles during library design.
  • Synthesis Feasibility: Produces libraries whose members share a common core and adhere to predefined synthetic pathways to facilitate synthesis under similar conditions.

Scientific Applications:

  • Medicinal Chemistry and Drug Discovery: Generates focused virtual libraries to support identification of lead compounds in medicinal chemistry and drug discovery projects.
  • Lead Optimization: Produces structurally related series that enable comparative evaluation and optimization of potency, selectivity, and pharmacokinetics.
  • Exploration of Chemical Space: Enables efficient exploration of chemical space by generating core-sharing libraries with controlled diversity.

Methodology:

Employs a reaction-based scaffold decoration approach in which users input specific chemical reactions to guide computational generation of compound libraries that conform to predefined synthetic pathways.

Topics

Details

License:
Apache-2.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
1/14/2022
Last Updated:
1/14/2022

Operations

Publications

Fialková V, Zhao J, Papadopoulos K, Engkvist O, Bjerrum EJ, Kogej T, Patronov A. LibINVENT: Reaction-based Generative Scaffold Decoration for <i>in Silico</i> Library Design. Journal of Chemical Information and Modeling. 2021;62(9):2046-2063. doi:10.1021/acs.jcim.1c00469. PMID:34460269.

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