Biology:NIAID ChemDB

From HandWiki
ChemDB HIV, Opportunistic Infection and Tuberculosis Therapeutics Database
Content
DescriptionSmall molecules that have been tested against HIV and/or related opportunistic infections
Contact
Research centreNational Institute of Allergy and Infectious Diseases (NIAID)
Release date1989
Access
Websitehttp://chemdb.niaid.nih.gov/

The ChemDB HIV, Opportunistic Infection and Tuberculosis Therapeutics Database is a publicly available tool developed by the National Institute of Allergy and Infectious Diseases to compile preclinical data on small molecules with potential therapeutic action against HIV/AIDS and related opportunistic infections.[1]

Characteristics and content

Since 1989, the ChemDB has been updated with information extracted from peer-reviewed published literature, conference proceedings and patents.[2] Data are compiled on compound structure, chemical properties, biological activity (e.g. targeted protein, IC50, EC50, Cytotoxicity, TI, Ki, and or MIC), and reference details (e.g. Author, Journal).[3]

The ChemDB web interface supports searching of biological, textual and chemical data using Oracle Text, the Accelrys Direct chemical search engine, and ChemAxon’s Marvin tools.[1] These tools allow web users to search the database by comparing the degree of similarity or flexibility match to chemical structures that have either been uploaded or drawn. Additional Boolean searches can be combined with structure search to include other fields on interest, including target organism or Lipinski score. In addition to the publicly available web interface, whole database downloads can be obtained by the scientific research community.[2] The database is used frequently in peer-reviewed scientific research.[4][5][6][7][8][9][10][11][12][13]

Opportunistic pathogens

Opportunistic pathogens included in this database are:[1]

References

  1. 1.0 1.1 1.2 "Division of AIDS Anti-HIV/OI/TB Therapeutics Database". National Institutes of Health, U.S. Department of Health and Human Services. http://chemdb.niaid.nih.gov/AboutChemDB.aspx. 
  2. 2.0 2.1 "2011 Meeting on U.S. Govt. Chem. Databases & Open Chemistry". August 25–26, 2011. 
  3. "Division of AIDS Anti-HIV/OI/TB Therapeutics Database". User Guide. National Institutes of Health, U.S. Department of Health and Human Services. http://chemdb.niaid.nih.gov/help/UserGuide.aspx. 
  4. "United States National Library of Medicine Drug Information Portal". Med Ref Serv Q 28 (2): 154–163. 2009. doi:10.1080/02763860902816784. PMID 19384716. 
  5. "Optimization of supercritical fluid extraction and pressurized liquid extraction of active principles from Magnolis officinalis using the Taguchi design". Sep Purif Technol 71 (3): 293–301. 2010. doi:10.1016/j.seppur.2009.12.009. 
  6. Portugal J (2009). "Evaluation of molecular descriptors for antitumor drugs with respect to noncovalent binding to DNA and antiproliferative activity". BMC Pharmacol 9: 11. doi:10.1186/1471-2210-9-11. PMID 19758437. 
  7. "The antiviral protein cyanovirin-N: the current state of its production and applications". Appl Microbiol Biotechnol 86 (3): 805–12. 2010. doi:10.1007/s00253-010-2470-1. PMID 20162270. http://naosite.lb.nagasaki-u.ac.jp/dspace/bitstream/10069/25148/1/AMB86_805.pdf. 
  8. "EASY-HIT: HIV full-replication technology for broad discovery of multiple classes of HIV inhibitors". Antimicrob Agents Chemother 54 (12): 5257–68. 2010. doi:10.1128/AAC.00515-10. PMID 20876377. 
  9. "Ethyl malonate amides: a diketo acid offspring fragment for HIV integrase inhibition". Bioorg Med Chem 19 (16): 5000–5. 2011. doi:10.1016/j.bmc.2011.06.054. PMID 21767953. 
  10. "3D QSAR CoMFA/CoMSIA, molecular docking and molecular dynamics studies of fullerene-based HIV-1 PR inhibitors". Bioorg Med Chem Lett 18 (23): 6283–9. 2008. doi:10.1016/j.bmcl.2008.09.107. PMID 18951793. 
  11. "Application of InChI to Curate, Index, and Query 3-D Structure". Proteins 60 (1): 001–004. 2005. doi:10.1002/prot.20469. PMID 15861385. 
  12. "A genetic code Boolean structure. I. The meaning of Boolean deduction". Bulletin of Mathematical Biology 67 (1): 001–014. 2005. doi:10.1016/j.bulm.2004.05.005. PMID 15691536. 
  13. Zhang XW (2005). "Generation of predictive pharmacophore model for SARS-coronavirus main proteinase". Eur J Med Chem 40 (1): 57–62. doi:10.1016/j.ejmech.2004.09.013. PMID 15642409. 

External links

  • NIAID ChemDB [1]