Subtopic Deep Dive
Structure-Activity Relationships of Quinoxalines
Research Guide
What is Structure-Activity Relationships of Quinoxalines?
Structure-Activity Relationships (SAR) of quinoxalines systematically correlate substituent modifications on the quinoxaline core with biological potency through synthesis, assays, and QSAR modeling.
SAR studies modify quinoxaline positions to optimize antimicrobial, anticancer, and kinase inhibitory activities (Pereira et al., 2014, 447 citations). Key examples include tyrphostins targeting PDGF-RTK (Gazit et al., 1996, 227 citations) and triazoloquinoxalines as adenosine antagonists (Sarges et al., 1990, 406 citations). Over 10 high-citation papers document these efforts since 1990.
Why It Matters
SAR of quinoxalines directs lead optimization for Chagas disease drugs (Coura and de Castro, 2002, 995 citations) and antimicrobial ruthenium complexes (Li et al., 2015, 445 citations). In anticancer research, nitrogen heterocycles like quinoxalines enable multi-target potency (Kumar et al., 2023, 262 citations). Tyrphostin quinoxalines inhibit PDGF-RTK for potential cancer therapies (Gazit et al., 1996). These studies reduce trial-and-error in drug discovery, accelerating clinical candidates.
Key Research Challenges
Predicting Substituent Effects
Electronic and steric effects of substituents on quinoxaline potency vary across targets like PDGF-RTK (Gazit et al., 1996). QSAR models struggle with multi-target data from antimicrobial assays (Pereira et al., 2014). Limited datasets hinder accurate pharmacophore mapping.
Balancing Potency and Toxicity
Quinoxaline derivatives show mutagenicity in food heterocycles (Felton and Knize, 1991, 259 citations). Optimizing for kinase inhibition risks off-target effects (Gazit et al., 1996). SAR requires assays balancing efficacy against eukaryotic toxicity (Li et al., 2015).
Scaling Synthesis for SAR
Multi-step syntheses limit analog libraries for QSAR (Sarges et al., 1990). Diverse quinoxaline scaffolds demand high-throughput methods (Pereira et al., 2014). Reproducibility issues arise in biological evaluations across labs.
Essential Papers
A Critical Review on Chagas Disease Chemotherapy
José Rodrigues Coura, Solange L. de Castro · 2002 · Memórias do Instituto Oswaldo Cruz · 995 citations
In this "Critical Review" we made a historical introduction of drugs assayed against Chagas disease beginning in 1912 with the works of Mayer and Rocha Lima up to the experimental use of nitrofuraz...
Quinoxaline, its derivatives and applications: A State of the Art review
Joana A. Pereira, Ana M. Pessoa, M. Natália D. S. Cordeiro et al. · 2014 · European Journal of Medicinal Chemistry · 447 citations
Quinoxaline derivatives are an important class of heterocycle compounds, where N replaces some carbon atoms in the ring of naphthalene. Its molecular formula is C8H6N2, formed by the fusion of two ...
Ruthenium complexes as antimicrobial agents
Fangfei Li, J. Grant Collins, F. Richard Keene · 2015 · Chemical Society Reviews · 445 citations
This review surveys the on-going search for ruthenium complexes that are potentially toxic to bacteria but relatively non-toxic to eukaryotic cells.
4-Amino[1,2,4]triazolo[4,3-a]quinoxalines. A novel class of potent adenosine receptor antagonists and potential rapid-onset antidepressants
Reinhard Sarges, Harry Howard, Ronald G. Browne et al. · 1990 · Journal of Medicinal Chemistry · 406 citations
A series of 4-amino[1,2,4]triazolo[4,3-a]quinoxalines has been prepared. Many compounds from this class reduce immobility in Porsolt's behavioral despair model in rats upon acute administration and...
New Antimicrobial Strategies Based on Metal Complexes
Mickaël Claudel, Justine V. Schwarte, Katharina M. Fromm · 2020 · Chemistry · 309 citations
Traditional organic antimicrobials mainly act on specific biochemical processes such as replication, transcription and translation. However, the emergence and wide spread of microbial resistance is...
Nitrogen Containing Heterocycles as Anticancer Agents: A Medicinal Chemistry Perspective
Adarsh Kumar, Ankit Kumar Singh, Harshwardhan Singh et al. · 2023 · Pharmaceuticals · 262 citations
Cancer is one of the major healthcare challenges across the globe. Several anticancer drugs are available on the market but they either lack specificity or have poor safety, severe side effects, an...
Occurrence, identification, and bacterial mutagenicity of heterocyclic amines in cooked food
James S. Felton, Mark G. Knize · 1991 · Mutation Research/Genetic Toxicology · 259 citations
Reading Guide
Foundational Papers
Start with Pereira et al. (2014, 447 citations) for quinoxaline overview, then Sarges et al. (1990, 406 citations) for triazolo SAR, and Gazit et al. (1996, 227 citations) for kinase inhibitors to build core scaffold knowledge.
Recent Advances
Study Kumar et al. (2023, 262 citations) for anticancer heterocycles and Claudel et al. (2020, 309 citations) for metal-quinoxaline antimicrobials.
Core Methods
Core techniques include substituent synthesis at positions 2/3, PDGF-RTK kinase assays (Gazit et al., 1996), behavioral models (Sarges et al., 1990), and QSAR regression on lipophilicity/electronics.
How PapersFlow Helps You Research Structure-Activity Relationships of Quinoxalines
Discover & Search
Research Agent uses searchPapers to find 'Quinoxaline, its derivatives and applications: A State of the Art review' (Pereira et al., 2014), then citationGraph reveals Gazit et al. (1996) and Sarges et al. (1990), and findSimilarPapers uncovers tyrphostin SAR analogs.
Analyze & Verify
Analysis Agent applies readPaperContent to extract SAR tables from Gazit et al. (1996), verifies QSAR correlations via runPythonAnalysis with pandas for IC50 regression, and uses verifyResponse (CoVe) with GRADE grading to confirm potency trends against PDGF-RTK.
Synthesize & Write
Synthesis Agent detects gaps in multi-target quinoxaline SAR via contradiction flagging across Pereira et al. (2014) and Kumar et al. (2023); Writing Agent uses latexEditText, latexSyncCitations for 10 papers, and latexCompile to generate SAR review manuscripts with exportMermaid for pharmacophore diagrams.
Use Cases
"Run QSAR regression on IC50 data from quinoxaline tyrphostins"
Research Agent → searchPapers → Analysis Agent → readPaperContent (Gazit 1996) → runPythonAnalysis (pandas linear regression on substituents vs IC50) → matplotlib potency plot.
"Draft LaTeX section on quinoxaline SAR for kinase inhibitors"
Synthesis Agent → gap detection → Writing Agent → latexEditText (SAR summary) → latexSyncCitations (Gazit 1996, Sarges 1990) → latexCompile → PDF with embedded tables.
"Find GitHub code for quinoxaline QSAR modeling"
Research Agent → searchPapers (quinoxaline QSAR) → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → exportCsv of modeling scripts linked to Pereira 2014 datasets.
Automated Workflows
Deep Research workflow scans 50+ quinoxaline papers via searchPapers → citationGraph → structured SAR report with potency matrices. DeepScan applies 7-step analysis: readPaperContent on Gazit (1996) → runPythonAnalysis QSAR → CoVe verification → GRADE scoring. Theorizer generates pharmacophore hypotheses from Pereira (2014) and Kumar (2023) contradictions.
Frequently Asked Questions
What defines SAR of quinoxalines?
SAR maps substituent changes on C8H6N2 core to bioactivity via synthesis and assays (Pereira et al., 2014).
What methods optimize quinoxaline potency?
Analog synthesis, IC50 assays, and QSAR modeling correlate electronics/lipophilicity with targets like PDGF-RTK (Gazit et al., 1996).
What are key papers on quinoxaline SAR?
Gazit et al. (1996, 227 citations) on tyrphostins; Sarges et al. (1990, 406 citations) on antidepressants; Pereira et al. (2014, 447 citations) review.
What open problems exist in quinoxaline SAR?
Multi-target QSAR for antimicrobials vs. toxicity (Li et al., 2015); scalable synthesis for large libraries (Pereira et al., 2014).
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