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SciClips Launches Diagnostic and Prognostic Biomarker Database

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In the era of personalized medicine, drugs will be targeted to patients based upon his or her unique genetic profile. Biomarkers are a critical component for tailoring treatments to individual patients. Biomarkers will be used as tools for target discovery, noninvasive early stage diagnosis of diseases, for evaluation of mode of action of a drug, dose determination and prediction of the drug effect. They will accelerate not only the development of effective and non-toxic drugs but also help in monitoring patient health and response to treatment.

SciClips is an open innovation platform that enables scientists and researchers to collaborate and share research and ideas. The Madison, Wisconsin, USA company has launched a unique biomarker database that has listed more than 29,000 biomarkers extracted from U.S. patent, world intellectual property organization (WO) patent cooperation treaty (PCT) publications, and PubMed abstracts.

The database contains a diverse array of biomarkers, including:

  • Protein/peptide/antibody biomarkers (7279 unique biomarkers)
  • Metabolomic biomarkers (811 unique biomarkers)
  • MicroRNA (miRNA) biomarkers (935 unique biomarkers)
  • Cell-based biomarkers (27 unique biomarkers)
  • Genotoxic/carcinogenic biomarkers (47 unique biomarkers)
  • Disease risk assessment and predictive biomarkers (10,375 unique biomarkers)
  • Epigenetic biomarkers based mainly on DNA methylation changes and histone modifications (700 unique biomarkers)
  • Molecular diagnostic biomarkers, including gene/gene expression biomarkers, polymporphisms/SNP biomarkers (including linkage disequilibrium biomarkers) (7206 unique biomarkers)
  • Drug efficacy/response biomarkers (7708 unique biomarkers), which are for monitoring the efficacy of the therapy, response of a biomarker for a drug treatment or determining the severity or monitoring the progression of a disease

Each biomarker is linked to various databases, such as PubMed (articles), Google Scholar (articles), GeneBank (nucleotide sequences), UniProt (protein sequences), USPTO (full text patents/patent applications), WO(PCT) (full text international patent applications) and Google patents (full text U.S. patents).

The “Cancer – Breast Cancer -Protein/Peptide/Antibody biomarkers” section is the only section that is open access. A paid membership is required for complete database access.

Source: SciClips