MétaCan
Menu
Back to cohort
Record W3186638495 · doi:10.82308/30663

Synthesis of novel chloroquine derivatives and insights into the interactions of a resistance protein

2021· article· en· W3186638495 on OpenAlexfundno aff
Benita Kapuku

Bibliographic record

VenueeScholarship@McGill (McGill) · 2021
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicBioactive Compounds and Antitumor Agents
Canadian institutionsnot available
FundersMcGill University
KeywordsChloroquineResistance (ecology)MalariaBiologyEcology

Abstract

fetched live from OpenAlex

The human toll caused by malaria remains devastating. In 2018 alone, there were 228 million cases, which resulted in 405,000 deaths. Malaria is caused by the Plasmodium parasite transmitted by the Anopheles mosquito. There are five species: P. malariae, P.falciparum, P. vivax, P. ovale and P. knowlesi, in which P. falciparum is the most common and most deadly. An antimalarial drug called chloroquine (CQ) was first introduced in the 1940s and is considered the gold-standard antimalarial drug due to its high efficacy, low-cost, and low-toxicity. It is listed under the World Health Organization (WHO) essential medicines and showed great promise in their endeavor to eradicate malaria.Unfortunately, after two decades of use resistance began to arise, which led to its gradual withdrawal for P. falciparum cases. The WHO has reported an increase in the number of malaria cases over the last six years (214, 216, 228 million cases in 2014, 2016 and 2018, respectively), this is alarming as it greatly hampers the effects of eradication. Therefore, it remains crucial to invest in the research and development of new antimalarial drug candidates. Recent studies have reported the re-sensitization of chloroquine in countries where it was once completely banned, such as Malawi, Zambia and certain regions of The Ivory Coast. This indicates that resistance is reversible because it requires a fitness deficit. When drug pressure is removed, the frequency of resistance alleles is reduced but not eliminated. Therefore, the reintroduction of drug pressure will cause a rapid reemergence of resistance. As CQ was the ideal drug, many derivatives with varying sidechains and aryl substituents such as amodiaquine and piperaquine have emerged as commercial drugs. Aminoquinolines (AQs) continue to be prepared and tested, and two AQs wereIIIrecently undergoing phase II clinical trials, demonstrating the robustness of the AQ core and their future potential.My research centres around the repurposing of chloroquine via modification at the 3-position of the quinoline ring. In chapter 2 I describe the synthesis and optimization of 3-aminochloroquine (3-NH2CQ). The synthesis of this derivative allows for expansion at the 3-position for the synthesis of a diverse library of antimalarial candidates.In chapter 3, I describe the synthesis of novel substituted chloroquine analogs. The structure- activity relationship (SAR) was determined as I synthesized a library of compounds with varying steric and electronic effects. It was determined that electron-withdrawing substituents at the para- position gave the best antimalarial activity. Although the synthesized compounds were not as effective as CQ, they may be candidates for combination therapy with chloroquine.In chapter 4, I describe the synthesis of a CQ photoaffinity label with minor modifications. An aryl azide is installed at the 3rd-position on the quinoline ring, making it the first AQ photoaffinity label in the literature with the least number of modifications whilst retaining all features of the parent compound, to our knowledge. Labelling studies were then carried out to determine the lability of the photoaffinity label.Lastly, the protein responsible for CQ resistance, Plasmodium falciparum chloroquine resistance transporter (PfCRT), has been isolated for the first time. In chapter 5, I describe binding studies carried out with PfCRT. In collaboration with Prof. Fidock's group at Columbia University,IVfluorescence and UV-Vis binding studies were carried out to determine binding affinities of heme and CQ with PfCRT

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.804

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.076
GPT teacher head0.353
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueeScholarship@McGill (McGill)Same topicBioactive Compounds and Antitumor AgentsFrench-language works237,207