Subtopic Deep Dive
Molecular Docking of Indolizines
Research Guide
What is Molecular Docking of Indolizines?
Molecular docking of indolizines computationally predicts binding poses and affinities of indolizine derivatives to biological targets like enzymes and proteins.
This subtopic integrates virtual screening with indolizine synthesis to identify hits for anti-TB, anti-cancer, and anti-HIV applications. Key studies employ AutoDock or Glide for docking, validated by MM/GBSA and molecular dynamics. Over 300 citations across 10 major papers since 2013 focus on kinase and InhA inhibitors.
Why It Matters
Docking guides SAR optimization for indolizines targeting mycobacterial enoyl-acyl carrier protein reductase (InhA), as in Khedr et al. (2017) with 52 citations showing anti-TB potency. It accelerates HIV-1 VIF-ElonginC inhibitor discovery (Huang et al., 2013, 49 citations) and anti-tumor pyrido-fused quinolines (Dasmahapatra et al., 2022, 90 citations). Real-world impact includes hit identification for drug-resistant TB and cancer, reducing synthesis cycles by predicting binding energies.
Key Research Challenges
Accurate Binding Pose Prediction
Indolizines' fused ring flexibility leads to multiple low-energy conformations challenging scoring functions. Khedr et al. (2017) used molecular dynamics to refine AutoDock poses for InhA. Validation requires mutagenesis data often absent in early screening.
Binding Free Energy Estimation
MM/GBSA overestimates affinities for polar indolizines in kinase pockets. Dasmahapatra et al. (2022) applied it post-docking for pyrido-imidazoquinolines. Absolute accuracy demands expensive FEP calculations beyond routine use.
Target Specificity Assessment
Off-target kinase binding confounds selectivity profiles. Venugopala et al. (2019a) docked 7-methoxy-indolizines to multiple TB enzymes. Integrating ADMET predictions remains inconsistent across studies.
Essential Papers
Multicomponent syntheses of functional chromophores
Lucilla Levi, Thomas J. J. Müller · 2016 · Chemical Society Reviews · 279 citations
Multicomponent reactions are perfectly suited to furnish functional π-systems<italic>via</italic>skeletogenic (scaffold approach) or chromogenic strategies (chromophore approach).
In-silico molecular modelling, MM/GBSA binding free energy and molecular dynamics simulation study of novel pyrido fused imidazo[4,5-c]quinolines as potential anti-tumor agents
Upala Dasmahapatra, Kiran Kumar Chitluri, Soumyadip Das et al. · 2022 · Frontiers in Chemistry · 90 citations
With an alarming increase in the number of cancer patients and a variety of tumors, it is high time for intensive investigation on more efficient and potent anti-tumor agents. Though numerous agent...
Molecular modeling studies and anti-TB activity of trisubstituted indolizine analogues; molecular docking and dynamic inputs
Mohammed A. Khedr, Melendhran Pillay, Sandeep Chandrashekharappa et al. · 2017 · Journal of Biomolecular Structure and Dynamics · 52 citations
A series of trisubstituted indolizine analogues has been designed as a result of a fragment-based approach to target the inhibition of mycobacterial enoyl-acyl carrier protein reductase. Anti-tuber...
Design, synthesis and biological evaluation of indolizine derivatives as HIV-1 VIF–ElonginC interaction inhibitors
Wenlin Huang, Tao Zuo, Hongwei Jin et al. · 2013 · Molecular Diversity · 49 citations
Computational, crystallographic studies, cytotoxicity and anti-tubercular activity of substituted 7-methoxy-indolizine analogues
Katharigatta N. Venugopala, Sandeep Chandrashekharappa, Melendhran Pillay et al. · 2019 · PLoS ONE · 40 citations
Indolizines are heteroaromatic compounds, and their synthetic analogues have reportedly showed promising pharmacological properties. In this study, a series of synthetic 7-methoxy-indolizine deriva...
Anti-tubercular Potency and Computationallyassessed Drug-likeness and Toxicology of Diversely Substituted Indolizines
Katharigatta N. Venugopala, Christophe Tratrat, Sandeep Chandrashekharappa et al. · 2019 · Indian Journal of Pharmaceutical Education and Research · 37 citations
Abstract: >Background: Several promising compounds against multi-drug-resistant Mycobacterium tuberculosis (MTB) are currently in the drug discovery and development pipeline. While it has yet to es...
A Novel Indolizine Derivative Induces Apoptosis Through the Mitochondria p53 Pathway in HepG2 Cells
Yushuang Liu, Enxian Shao, Zhiyang Zhang et al. · 2019 · Frontiers in Pharmacology · 37 citations
Indolizine derivatives are a class of compounds with excellent biological activity. In this study, a series of indolizine derivatives, compound 1 (C1), compound 2 (C2), compound 3 (C3), and compoun...
Reading Guide
Foundational Papers
Start with Huang et al. (2013) for HIV VIF docking baseline (49 citations), then Levi and Müller (2016) for indolizine synthesis context (279 citations).
Recent Advances
Dasmahapatra et al. (2022) for MM/GBSA advances (90 citations); Venugopala et al. (2019) for TB target docking (40 citations).
Core Methods
Rigid-receptor docking (AutoDock), rescoring (MM/GBSA), dynamics (AMBER/GROMACS), validated by SAR and crystallography.
How PapersFlow Helps You Research Molecular Docking of Indolizines
Discover & Search
Research Agent uses searchPapers('molecular docking indolizines InhA') to retrieve Khedr et al. (2017), then citationGraph reveals 52 citing papers on anti-TB indolizines, and findSimilarPapers expands to Venugopala et al. (2019). exaSearch queries 'indolizine docking kinase inhibitors' for 250M+ OpenAlex hits filtered by citations.
Analyze & Verify
Analysis Agent runs readPaperContent on Dasmahapatra et al. (2022) to extract docking scores, verifies with verifyResponse (CoVe) against MM/GBSA data, and runPythonAnalysis replots binding energies using pandas for statistical outliers. GRADE grading scores evidence strength for HIV inhibitors in Huang et al. (2013).
Synthesize & Write
Synthesis Agent detects gaps like missing FEP validation in indolizine-TB docking via gap detection, flags contradictions in pose rankings. Writing Agent uses latexEditText for SAR tables, latexSyncCitations for 10-paper bibliography, latexCompile for publication-ready review, and exportMermaid for docking workflow diagrams.
Use Cases
"Analyze docking scores of trisubstituted indolizines from Khedr 2017 with Python stats"
Research Agent → searchPapers → Analysis Agent → readPaperContent + runPythonAnalysis (pandas summarize affinities, matplotlib histograms) → researcher gets CSV of mean/std dev binding energies and outlier poses.
"Write LaTeX review of indolizine docking for anti-TB targets"
Synthesis Agent → gap detection → Writing Agent → latexEditText (intro/methods) → latexSyncCitations (10 papers) → latexCompile → researcher gets PDF with figures and synced refs.
"Find code for MM/GBSA on indolizine docking simulations"
Research Agent → paperExtractUrls (Dasmahapatra 2022) → Code Discovery → paperFindGithubRepo → githubRepoInspect → researcher gets validated Python scripts for binding free energy repro.
Automated Workflows
Deep Research workflow scans 50+ indolizine papers via searchPapers → citationGraph → structured report with GRADE-scored docking claims. DeepScan applies 7-step CoVe to verify Huang et al. (2013) VIF poses against syntheses. Theorizer generates hypotheses on indolizine kinase selectivity from Venugopala et al. (2019) docking patterns.
Frequently Asked Questions
What is molecular docking of indolizines?
It predicts how indolizine ligands bind protein targets using tools like AutoDock, scoring poses by free energy.
What methods are used?
AutoDock Vina for initial poses, MM/GBSA for refinement, MD simulations for stability, as in Dasmahapatra et al. (2022).
What are key papers?
Dasmahapatra et al. (2022, 90 citations) on anti-tumor quinolines; Khedr et al. (2017, 52 citations) on anti-TB indolizines; Huang et al. (2013, 49 citations) on HIV inhibitors.
What open problems exist?
Improving absolute affinity prediction for polar indolizines and integrating docking with synthesis automation for hit-to-lead.
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