4-Aminoquinolines Active against Chloroquine-Resistant Plasmodium falciparum: Basis of Antiparasite Activity and Quantitative Structure-Activity Relationship Analyses

Author:

Hocart Simon J.,Liu Huayin,Deng Haiyan,De Dibyendu,Krogstad Frances M.,Krogstad Donald J.

Abstract

ABSTRACTChloroquine (CQ) is a safe and economical 4-aminoquinoline (AQ) antimalarial. However, its value has been severely compromised by the increasing prevalence of CQ resistance. This study examined 108 AQs, including 68 newly synthesized compounds. Of these 108 AQs, 32 (30%) were active only against CQ-susceptiblePlasmodium falciparumstrains and 59 (55%) were active against both CQ-susceptible and CQ-resistantP. falciparumstrains (50% inhibitory concentrations [IC50s], ≤25 nM). All AQs active against both CQ-susceptible and CQ-resistantP. falciparumstrains shared four structural features: (i) an AQ ring without alkyl substitution, (ii) a halogen at position 7 (Cl, Br, or I but not F), (iii) a protonatable nitrogen at position 1, and (iv) a second protonatable nitrogen at the end of the side chain distal from the point of attachment to the AQ ring via the nitrogen at position 4. For activity against CQ-resistant parasites, side chain lengths of ≤3 or ≥10 carbons were necessary but not sufficient; they were identified as essential factors by visual comparison of 2-dimensional (2-D) structures in relation to the antiparasite activities of the AQs and were confirmed by computer-based 3-D comparisons and differential contour plots of activity againstP. falciparum. The advantage of the method reported here (refinement of quantitative structure-activity relationship [QSAR] descriptors by random assignment of compounds to multiple training and test sets) is that it retains QSAR descriptors according to their abilities to predict the activities of unknown test compounds rather than according to how well they fit the activities of the compounds in the training sets.

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology

Reference43 articles.

1. SMILES (Simplified Molecular Identification and Line Entry System): a line notation and computerized interpreter for chemical structures;Anderson,1987

2. Modeling robust QSAR 3: SOM-4D-QSAR with iterative variable elimination IVE-PLS: application to steroid, azo dye, and benzoic acid series;Bak;J. Chem. Inf. Model,2007

3. Conquering the intolerable burden of malaria: what's new, what's needed: a summary;Breman;Am. J. Trop. Med. Hyg,2004

4. Quinoline-binding site on malaria pigment crystal: a rational pathway for antimalaria drug design;Buller;Crystal Growth Des,2002

5. Elimination of uninformative variables for multivariate calibration;Centner;Anal. Chem,1996

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