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.
PMID: 34460269