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Application of 3D-QSAR for identification of descriptors defining bioactivity of antimicrobial peptides

  • Jayendra B. Bhonsle
    ,
  • Divakaramenon Venugopal
    ,
  • Donald P. Huddler
    ,
  • Alan J. Magill
    ,
  • Rickey P. Hicks(corresponding author)
*Corresponding author for this work
  • Walter Reed Army Institute of Research
    ,
  • East Carolina University
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

In our laboratory, a series of antimicrobial peptides have been developed, where the resulting 3D-physicochemical properties are controlled by the placement of amino acids with well-defined properties (hydrophobicity, charge density, electrostatic potential, and so on) at specific locations along the peptide backbone. These peptides exhibited different in vitro activity against Staphylococcus aureus (SA) and Mycobacterium ranae (MR) bacteria. We hypothesized that the differences in the biological activity is a direct manifestation of different physicochemical interactions that occur between the peptides and the cell membranes of the bacteria. 3D-QSAR analysis has shown that, within this series, specific physicochemical properties are responsible for antibacterial activity and selectivity. There are five physicochemical properties specific to the SA QSAR model, while five properties are specific to the MR QSAR model. These results support the hypothesis that, for any particular AMP, organism selectivity and potency are controlled by the chemical composition of the target cell membrane.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 6545-6553 (9 pages)

Journal (Volume, Issue Number)

Journal of Medicinal Chemistry (Volume 50, Issue 26)

Publication milestones

  • Published - 12/27/2007

Publication status

Published - 12/27/2007

ISSN

0022-2623

Publication IDs

  • Scopus: 37349103436
  • PubMed: 18062663

Publication metrics

Metrics

Scopus
citations
Fractional count
1
Fractional count
0.20
Fractional count
4
Fractional count
0.80
Fractional count
1
Fractional count
1
SciVal
FWCI
0.79
SciVal
Author count
5
SciVal
citations
50
SciVal
Paper percentile
88

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