ChEMBL Small Molecule Search

ChEMBL Small Molecule Search provides searchable access to the ChEMBL database to retrieve small-molecule records and associated biological activity for pharmacology and drug-discovery analyses.


Key Features:

  • Extensive Database Access: Search and retrieve small-molecule records and associated biological activity from the ChEMBL database using chemical-structure and activity-based queries.
  • Structure and Activity Querying: Perform searches based on chemical structure and biological activity to identify molecules meeting specified criteria.
  • Advanced Search Algorithms: Employ advanced search algorithms to enable precise querying and retrieval of relevant small-molecule information.
  • Interoperability with EMBL-EBI: Integrate ChEMBL data within the EMBL-EBI infrastructure to combine small-molecule information with genetic variation and structural biology datasets.
  • Scalable Infrastructure: Operate on a scalable computational infrastructure to support large-scale analyses of small-molecule data.
  • Embassy Cloud Integration: Enable execution of computational analyses within the Embassy Cloud environment adjacent to EMBL-EBI public data resources.

Scientific Applications:

  • Lead Compound Identification: Identify potential lead compounds by searching for molecules with specific biological activities recorded in ChEMBL.
  • Structure–Activity Relationship (SAR) Analysis: Explore SAR to assess how chemical modifications correlate with changes in biological activity.
  • Mechanism-of-Action Investigations: Integrate small-molecule data with genetic variation and structural biology datasets to investigate molecular mechanisms of action.

Methodology:

The methodology uses advanced search algorithms for precise querying and retrieval from the ChEMBL database and leverages integration within EMBL-EBI infrastructure to enable interoperability with genetic variation and structural biology datasets.

Topics

Collections

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
1/29/2015
Last Updated:
11/25/2024

Operations

Publications

Cook CE, Bergman MT, Finn RD, Cochrane G, Birney E, Apweiler R. The European Bioinformatics Institute in 2016: Data growth and integration. Nucleic Acids Research. 2015;44(D1):D20-D26. doi:10.1093/nar/gkv1352. PMID:26673705. PMCID:PMC4702932.

Documentation