Bioinfo Chem
Latest Issue - Volume 8 Number 1 2026
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Bioinfo Chem
Bioinfo and Chem is an international, open access, peer-reviewed journal that publishes: Original Research; Reviews; Hypothesis formation and commentaries in the following fields Computational biomodelling, Bioinformatics, Computational genomics, Mol
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Bioinfo Chem
Volume 8 Number 1 2026
Table of Contents
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Hares Bin Syed Md. Rifat 1*
Machine learning and multi-omics are turning functional toxicogenomics into reproducible, mechanism-anchored, and animal-free toxicity prediction for high-throughput chemical risk assessment.
Abstract | Full Text | Open Access Article
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These articles have been peer reviewed and accepted for publication. They are still in production and have not been edited, so may differ from the final published form.
The Most Read ranking is based on the number of downloads in the last 60 days from papers published on the Bioinfo Chem within the last 12 months. Usage statistics are updated daily.
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Harmine: A Natural β-Carboline with Promising Multi-Targeted Anticancer Potential
Harmine shows multi-targeted anticancer activity, offering potential as a natural, safer alternative to conventional chemotherapy for various cancers.
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Network Pharmacology and Docking-Based Evaluation of Quercetin as an Inhibitor of PI3K Pathway in Glioblastoma
This study highlights quercetin’s multi-target inhibition of PI3K signaling in GBM, suggesting a safer, plant-based therapeutic alternative.
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Artificial Intelligence in Drug Discovery: Systematic Review and Meta-Analysis of Predictive Performance, Structural Modeling, and Translational Reliability
This study demonstrates how AI improves prediction accuracy, accelerates drug discovery, reduces experimental burden, and enhances the reliability of therapeutic design workflows.
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Advancing Functional Toxicogenomics: Machine Learning and Deep Learning Approaches for Omics-Based Toxicity Assessment
Machine learning and multi-omics are turning functional toxicogenomics into reproducible, mechanism-anchored, and animal-free toxicity prediction for high-throughput chemical risk assessment.
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