Online Structure Activity Relationship Database | Online Scientific Database Product | Medicinal Chemistry Database | Small Molecule Database

Database Information

  • SAR, Preclinical, Clinical and ADMET data
  • Binding, Functional Invitro/In vivo Assays
  • Standard ontology and chemistry classification
  • Normalized Activity Values(uM)

Data Presentation Tools

  • Target Validation and Assessment
  • Chemical & Biological Space using MCSS
  • Off Target Analysis by Heat Maps
  • Molecular Pairs for Scaffold Hopping & Lead Optimization

Exportable Results

  • Data formats like Excel, SDF, RDF, CSV and XML
  • More than 250 Unique Data Fields
Key Features of GOSTAR application Advantages of database integration What’s new in the current release?
Library of several databases with robust search features supporting analytical tools Conceptual framework providing rapid access to manually curated huge data Correlation between activity and physicochemical properties
GOSTAR Online Support

GOSTAR (Global Online Structure Activity Relationship Database)

GOSTAR is an online scientific database product of Excelra Knowledge Solutions. It is the largest manually curated SAR database that contains all the Published and Patented inhibitors against most biological targets and their associated SAR data. GOSTAR database contains compounds from both Discovery and Development along with associated SAR, ADME, Toxicity, and Pharmacokinetic Data. The database contains over 6.6 million inhibitors and over 22 million quantitative SAR points screened from around 2.2 million patents and 348,158 journals. It offers a secure access to user through an integrated, browser-based VeriSign Certified platform (Secured socket layer). GOSTAR allows the user to query, browse, retrieve, and export data into various formats.

Frequently Asked Questions Publications (Internal) Publications (Clients)
  1. What should I do If I don't receive my forgot Password email?
  2. What if I lost my password and the user name/email address provided is no longer valid?
  3. How can I protect the data I have entered?
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  1. Ligand-based and structure-based approaches in identifying ideal pharmacophore against c-Jun N-terminal kinase-3
  2. Combined pharmacophore and structure-guided studies to identify diverse HSP90 inhibitors
  3. View all Publications (Internal)
  1. Analysis of in vitro bioactivity data extracted from drug discovery literature and patents: Ranking 1654 human protein targets by assayed compounds and molecular scaffolds
  2. Physicochemical property profiles of marketed drugs, clinical candidates and bioactive compounds
  3. View all Publications (Clients)
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