DrugSpaceX
DrugSpaceX provides a virtual compound library generated by transforming approved drug molecules to produce over 100 million novel, structurally diverse, three-dimensional, and synthesizable chemical structures for virtual screening and drug discovery.
Key Features:
- Enumeration from approved drugs: Generates over 100 million novel chemical structures by applying transformations to approved drug molecules.
- Structural novelty and diversity: Produces structurally novel and diverse compounds with extensive three-dimensional chemical space coverage.
- Synthesizability focus: Emphasizes generation of synthesizable compounds suitable for downstream medicinal chemistry.
- Downloadable subsets: Provides selectable subsets including a 10% diversity subset, an extended drug-like subset, a standard drug-like subset, a lead-like subset, and a fragment-like subset.
- Transformation annotation: Includes detailed transformation instructions and records the position of each transformation within molecules.
- Virtual screening-ready: Supplies compound collections intended for use in virtual screening workflows.
- Case study validation: Demonstrated identification of initial hit compounds for discoidin domain receptor 1 (DDR1) kinase.
Scientific Applications:
- Virtual screening: Use the enumerated library and subsets for in silico screening campaigns against biological targets.
- Hit identification and lead discovery: Support initial hit finding and progression toward lead compounds, as shown for DDR1 kinase.
- Ligand identification and optimization: Aid medicinal chemistry in ligand design, strategic planning, and protection-group considerations via transformation annotations.
- Subset-guided selection: Enable selection of compounds based on desired chemical properties using predefined subsets (diversity, drug-like, lead-like, fragment-like).
Methodology:
Enumerates novel compounds by applying expert-defined transformations to approved drug molecules, generates multiple downloadable subsets (10% diversity, extended drug-like, standard drug-like, lead-like, fragment-like), and records the position of each transformation within molecules.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Yang T, Li Z, Chen Y, Feng D, Wang G, Fu Z, Ding X, Tan X, Zhao J, Luo X, Chen K, Jiang H, Zheng M. DrugSpaceX: a large screenable and synthetically tractable database extending drug space. Nucleic Acids Research. 2020;49(D1):D1170-D1178. doi:10.1093/nar/gkaa920. PMID:33104791. PMCID:PMC7778939.
Downloads
- Downloads pagehttps://drugspacex.simm.ac.cn/download/