| Literature DB >> 22242845 |
Arnab K Chatterjee1, Bryan K S Yeung.
Abstract
Antimalarial drug discovery has historically benefited from the whole-cell (phenotypic) screening approach to identify lead molecules in the search for new drugs. However over the past two decades there has been a shift in the pharmaceutical industry to move away from whole-cell screening to target-based approaches. As part of a Wellcome Trust and Medicines for Malaria Venture (MMV) funded consortium to discover new blood-stage antimalarials, we used both approaches to identify new antimalarial chemotypes, two of which have progressed beyond the lead optimization phase and display excellent in vivo efficacy in mice. These two advanced series were identified through a cell-based optimization devoid of target information and in this review we summarize the advantages of this approach versus a target-based optimization. Although the each lead optimization required slightly different medicinal chemistry strategies, we observed some common issues across the different the scaffolds which could be applied to other cell based lead optimization programs.Entities:
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Year: 2012 PMID: 22242845 PMCID: PMC3355380 DOI: 10.2174/156802612799362977
Source DB: PubMed Journal: Curr Top Med Chem ISSN: 1568-0266 Impact factor: 3.295
The General Sequence of Two Approaches Used to Develop New Antimalarial Candidates
| Target-based Approach | Cell-based Approach | ||
|---|---|---|---|
Target identification from genomic data of the parasite Genetic validation of the molecular target Target expression, assay development High-throughput screening for hits against the target Lead optimization of hits | Identify libraries or classes of molecules with potential biological activity on the parasite High-throughput screening for hits against on the whole parasite Lead optimization of hits | ||
Selectivity and Binding of QN254 on PfDHFR and hDHFR
| Compound | ||||
|---|---|---|---|---|
| WT- | QM- | |||
| Cycloguanil | 1.51 ± 0.1 | 454 ± 38 | 55.6 ± 7.8 | 37 |
| Pyrimethamine | 0.59 ± 0.05 | 385 ± 163 | 30.8 ±1.4 | 52 |
| QN254 | 0.39 ± 0.05 | 0.58 ± 0.06 | 10.2 ± 0.6 | 26 |
wild type PfDHFR
quadruple mutant PfDHFR,
human DHFR.
Antimalarial Activity of QN254 in the P. berghei Murine Model[a]
| Dosing Regimen | Parasitemia Reduction (%) | Average Survival (days) | Cure Rate (%) | Toxicity Rate (%) |
|---|---|---|---|---|
| 3 x 30 | > 99.99 | 28.4 | 80 | 0 |
| 3 x 60 | > 99.99 | Not available | 60 | 40[ |
| 3 x 100 | > 99.99 | Not available | 20 | 80[ |
Percent inhibition of parasitemia compared to untreated controls. The mean survival of control animals was 5.6 to 6.2 days
Mice died around day 10 and were parasite free.
Activity of Purines on PfCDPK1 and P. falciparum
| Compound | R | ||
|---|---|---|---|
| 2 | 17 | 230 | |
| 3 | 4040 | 312 | |
| 4 | 342 | 400 | |
| 5 | 240 | 535 | |
| 6 | 71 | > 10,000 | |
| 7 | 28 | > 10,000 |
Values are mean of two experiments. Each assay plate has mefloquine, sulfadoxine and artemisinin as internal standards. The EC50 values for standard compounds match literature values.
The Activity of Piperidyl Benzamides on Drug Resistant Strains
| Compound | R1 | R2 | ||
|---|---|---|---|---|
| 11 | Cl | 0.134 ± 0.056 | 0.888 ± 0.112 | |
| 12 | Cl | 0.097 ± 0.018 | 0.276 ± 0.014 | |
| 13 | CF3 | 0.149 | 0.299 | |
| 14 | Cl | 0.140 | 0.323 | |
| 15 | CF3 | 0.058 | 0.211 |
Values are mean of two experiments. Each assay plate has mefloquine, sulfadoxine and artemisinin as internal standards. The EC50 values for standard compounds match literature values.
The Activity of Imidazolopiperazine Hits
| Compound | R1 | Cytotoxicity (µM)
Huh7[ | ||
|---|---|---|---|---|
| 18a | Gly | 63 | 97 | > 10 |
| 18b | (DL)-Phe | 235 | 271 | > 10 |
| 18c | (DL)-Leu | 116 | 119 | > 10 |
Values are mean of two experiments.
In Vivo Efficacy of Imidazolopiperazine Leads [a]
| Compound | 1 x 30 mg/kg | 1 x 100 mg/kg | 3 x 30 mg/kg | |||
|---|---|---|---|---|---|---|
| Activity (%) | Survival (Days) | Activity (%) | Survival (Days) | Activity (%) | Survival (Days) | |
| 19 | 99.3 | 7.7 | 99.6 | 13.3 | 99.9 | 14.0 |
| 20[ | 99.4 | 7.7 | 99.4 | 17.0 | 99.8 | 17.7 |
| CQ | 99.7 | 8.7 | >99.9 | 12 | 98.6 | 18.8 |
| AS | 89 | 7.2 | 97 | 6.7 | 98 | 7.2 |
average parasitemia reduction; survival of 6-7 days for untreated mice; 7% Tween 80/3% ethanol formulation.
75% PEG300/25%D5W formulation.
Differences in Potency between Enantiomers Extended to Metabolic Stability
| Compound | ||||||
|---|---|---|---|---|---|---|
| NF54 EC50 (nM) | 27 | >5000 | 9.2 | |||
| Liver Microsomesa[ | CLint | CLint | CLint | |||
| Mouse | Med | 26.5 | Low | 103 | High | 1.8 |
| Human | Med | 9.9 | Low | 95 | High | 1.2 |
intrinsic clearance in liver microsomes; where high clearance corresponds to low stability in the presence of liver enzymes
Additive SAR Simplified the Lead Optimization of the Spiroindolones
| Compound | R1 = F | R1 = H | R1 = F | R1 = F | ||||
|---|---|---|---|---|---|---|---|---|
| NF54 EC50 (nM) | 3.4 | 3.5 | 0.2 | 0.9 | ||||
| Liver Microsomes[ | CLint | CLint | CLint | CLint | ||||
| Mouse | High | 4.2 | Low | 53 | Low | 49.1 | Low | 49 |
| Human | Med | 10 | Low | 53.3 | Low | 56.4 | Low | 76 |
intrinsic clearance in liver microsomes; where high clearance corresponds to low stability in the presence of liver enzymes.
In Vivo Efficacy of the Optimized Spiroindolones [a]
| Compound | 1 x 30 mg/kg | 3 x 30 mg/kg | ||||
|---|---|---|---|---|---|---|
| Activity (%) | Survival (Days) | Cure Rate (%) | Activity (%) | Survival (Days) | Cure Rate (%) | |
| 26 | 99.9 | 10.7 | 0 | 99.9 | 18.8 | 60 |
| 29 | 99.6 | 12.0 | 0 | 99.8 | 23.8 | 80 |
| 30[ | 99.6 | 13.3 | 0 | 99.8 | 29.1 | 90 |
| CQ | 99.7 | 8.7 | 0 | 99.9 | 14.0 | 0 |
| AS | 92.2 | 7.3 | 0 | 99.0 | 11.8 | 0 |
average parasitemia reduction; survival of 6-7 days for untreated mice; cure was no parasites at day 30; compounds were formulated in 10% ethanol, 30% PEG400, 6% vitamin E TPGS;
formulated in 0.5% MCM / 0.1% Solutol HS15.