DBAASP v.2: an enhanced database of structure and antimicrobial/cytotoxic activity of natural and synthetic peptides.

Malak Pirtskhalava, Andrei Gabrielian, Phillip Cruz, Hannah L Griggs, R Burke Squires, Darrell E Hurt, Maia Grigolava, Mindia Chubinidze, George Gogoladze, Boris Vishnepolsky, Vsevolod Alekseyev, Alex Rosenthal, Michael Tartakovsky
Author Information
  1. Malak Pirtskhalava: Ivane Beritashvili Center of Experimental Biomedicine, Tbilisi 0160, Georgia m.pirtskhalava@lifescience.org.ge.
  2. Andrei Gabrielian: Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
  3. Phillip Cruz: Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
  4. Hannah L Griggs: Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
  5. R Burke Squires: Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
  6. Darrell E Hurt: Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
  7. Maia Grigolava: Ivane Beritashvili Center of Experimental Biomedicine, Tbilisi 0160, Georgia.
  8. Mindia Chubinidze: Ivane Beritashvili Center of Experimental Biomedicine, Tbilisi 0160, Georgia.
  9. George Gogoladze: Ivane Beritashvili Center of Experimental Biomedicine, Tbilisi 0160, Georgia.
  10. Boris Vishnepolsky: Ivane Beritashvili Center of Experimental Biomedicine, Tbilisi 0160, Georgia.
  11. Vsevolod Alekseyev: Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
  12. Alex Rosenthal: Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
  13. Michael Tartakovsky: Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.

Abstract

Antimicrobial peptides (AMPs) are anti-infectives that may represent a novel and untapped class of biotherapeutics. Increasing interest in AMPs means that new peptides (natural and synthetic) are discovered faster than ever before. We describe herein a new version of the Database of Antimicrobial Activity and Structure of Peptides (DBAASPv.2, which is freely accessible at http://dbaasp.org). This iteration of the database reports chemical structures and empirically-determined activities (MICs, IC50, etc.) against more than 4200 specific target microbes for more than 2000 ribosomal, 80 non-ribosomal and 5700 synthetic peptides. Of these, the vast majority are monomeric, but nearly 200 of these peptides are found as homo- or heterodimers. More than 6100 of the peptides are linear, but about 515 are cyclic and more than 1300 have other intra-chain covalent bonds. More than half of the entries in the database were added after the resource was initially described, which reflects the recent sharp uptick of interest in AMPs. New features of DBAASPv.2 include: (i) user-friendly utilities and reporting functions, (ii) a 'Ranking Search' function to query the database by target species and return a ranked list of peptides with activity against that target and (iii) structural descriptions of the peptides derived from empirical data or calculated by molecular dynamics (MD) simulations. The three-dimensional structural data are critical components for understanding structure-activity relationships and for design of new antimicrobial drugs. We created more than 300 high-throughput MD simulations specifically for inclusion in DBAASP. The resulting structures are described in the database by novel trajectory analysis plots and movies. Another 200+ DBAASP entries have links to the Protein DataBank. All of the structures are easily visualized directly in the web browser.

References

  1. Nucleic Acids Res. 2009 Jan;37(Database issue):D26-31 [PMID: 18940867]
  2. Nucleic Acids Res. 2012 Jan;40(Database issue):D1108-12 [PMID: 22110032]
  3. Biochim Biophys Acta. 1999 Dec 15;1462(1-2):55-70 [PMID: 10590302]
  4. J Mol Biol. 2003 Aug 1;331(1):281-99 [PMID: 12875852]
  5. J Chem Inf Model. 2014 May 27;54(5):1512-23 [PMID: 24730612]
  6. Nat Protoc. 2015 Jun;10(6):845-58 [PMID: 25950237]
  7. Proc Biol Sci. 2006 Jan 22;273(1583):251-6 [PMID: 16555795]
  8. J Comput Chem. 2009 Jul 30;30(10):1545-614 [PMID: 19444816]
  9. J Comput Chem. 2004 Oct;25(13):1605-12 [PMID: 15264254]
  10. J Comput Chem. 2010 Nov 15;31(14):2658-68 [PMID: 20740566]
  11. Curr Pharm Des. 2012;18(6):807-19 [PMID: 22236127]
  12. Protein Sci. 1995 Oct;4(10):2118-22 [PMID: 8535248]
  13. Nucleic Acids Res. 2009 Jan;37(Database issue):D933-7 [PMID: 18957441]
  14. Int J Antimicrob Agents. 2012 Apr;39(4):346-51 [PMID: 22325123]
  15. Nucleic Acids Res. 2009 Jan;37(Database issue):D5-15 [PMID: 18940862]
  16. J Mol Graph. 1996 Feb;14(1):33-8, 27-8 [PMID: 8744570]
  17. Nucleic Acids Res. 2015 Jan;43(Database issue):D345-56 [PMID: 25428375]
  18. Nucleic Acids Res. 2013 Jan;41(Database issue):D706-13 [PMID: 23193253]
  19. Nucleic Acids Res. 2015 Jan;43(Database issue):D6-17 [PMID: 25398906]
  20. J Pept Sci. 2011 May;17(5):306-14 [PMID: 21360627]
  21. Nucleic Acids Res. 2014 Jan;42(Database issue):D1154-8 [PMID: 24265220]
  22. J Cheminform. 2014 Mar 11;6(Suppl 1):O16 [PMID: 24765114]
  23. Nucleic Acids Res. 2007 Jan;35(Database issue):D265-8 [PMID: 17090586]
  24. Nucleic Acids Res. 2014 Jan;42(Database issue):D1147-53 [PMID: 24285301]
  25. Nucleic Acids Res. 2004 Jan 1;32(Database issue):D593-4 [PMID: 14681489]
  26. J Chem Theory Comput. 2009 Jun 9;5(6):1632-9 [PMID: 26609855]
  27. BMC Microbiol. 2007;7:89 [PMID: 17941971]
  28. Nucleic Acids Res. 2015 Jan;43(Database issue):D204-12 [PMID: 25348405]
  29. Bioinformatics. 2015 Aug 1;31(15):2553-9 [PMID: 25819673]
  30. FEMS Microbiol Lett. 2014 Aug;357(1):63-8 [PMID: 24888447]

Grants

  1. G-2102/PHS HHS

MeSH Term

Anti-Infective Agents
Cytotoxins
Databases, Pharmaceutical
Molecular Dynamics Simulation
Peptides

Chemicals

Anti-Infective Agents
Cytotoxins
Peptides

Word Cloud

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