3D-QSAR of fungal quorum-sensing inhibiting analogs of farnesol.
Thirty-four analogs with variable antifungal activity were selected to develop models for establishing three-dimensional quantitative structure-activity relationships (3D-QSAR). Comparative molecular field analysis (CoMFA) and comparative similarity indices analyses (CoMSIA) were conducted on the group of analogs to determine the structural requirements for selectivity and potency in inhibiting biofilm formation and fungal growth. The best CoMFA model predicted a q(2) = 0.5 and an r(2) = 0.991, and revealed that electrostatic properties play a significant role in potency and selectivity. The best CoMSIA model combined electrostatics, hydrogen bond acceptor and donor, and hydrophobic fields with a q(2) = 0.664 r(2) = 0.952, S = 0.099, and F = 139.892. The analyses of the contour maps from both models provide significant insight into the structural necessities for a potent compound. Therefore, manipulating various chemical properties of the substituted groups on the farnesol chain can be used to enhance the fungicidal properties of the target compound.
Woodard
Brooke
B
Department of Chemistry, Texas Southern University, Houston, Texas 77004, USA.
Clark
Shavon
S
Saleh
Mahmoud A
MA
D000935:Antifungal Agents / Q000737:chemistry*; D018441:Biofilms / Q000254:growth & development; D055598:Chemical Phenomena; D002627:Chemistry, Physical; D005204:Farnesol / Q000737:chemistry*; D005658:Fungi / Q000187:drug effects / Q000254:growth & development / Q000502:physiology*; D008956:Models, Chemical; D011237:Predictive Value of Tests; D021281:Quantitative Structure-Activity Relationship; D053038:Quorum Sensing; D055672:Static Electricity
D000935:Antifungal Agents; D005204:Farnesol