Bioinfo Chem
Latest Issue - Volume 7 Number 1 2025
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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 7 Number 1 2025
Table of Contents
Research Article
Bioinformatics & In Silico Modeling
Shahadat Hossain1*, Moin Uddin Patwary2, Md Abdus Samad3, Hossen Md. Arafat4
Epigallocatechin gallate (EGCG) offers a safe, natural alternative to antibody therapies by directly targeting PD-L1 and modulating immune response pathways.
Abstract | Full Text |PDF (982 KB) | Open Access Article
Computational Pharmacology
Shahadat Hossain1*, Farhana Ferdushi Aion2, Badhan Mojumder2
This study identifies Luteolin as a potential multi-target CDK4/6 inhibitor with broader anti-cancer action than current synthetic drugs.
Abstract | Full Text |PDF (692 KB) | Open Access Article
Network Pharmacology
Shahadat Hossain1*, Samima Nasrin Setu2, Maksudur Rahman Nayem3, Rifat Bin Amin4
This study highlights quercetin’s multi-target inhibition of PI3K signaling in GBM, suggesting a safer, plant-based therapeutic alternative.
Abstract | Full Text |PDF (778 KB) | Open Access Article
Structural Biology / Molecular Docking
Shahadat Hossain1*, Md. Taufique Hasan Bhuiyan Sezan2, Moin Uddin Patwary3
Berberine offers a natural, safe, and multi-pathway alternative for selectively targeting KRAS G12C in colorectal cancer therapy development.
Abstract | Full Text |PDF (523 KB) | Open Access Article
Abdullah Bhuyan1*, Shahadat Hossain2, Moin Uddin Patwary1, Shamim Al Mamun1, Tanjila Hasan Tulon1
Flavokawain B’s inhibition of MAPK14 suggests its potential as a novel, natural therapeutic candidate against TNBC progression.
Abstract | Full Text |PDF (992 KB) | Open Access Article
Reviews
(Unspecified)
Shunqi Liu 1*, Han Qiu 2
This study demonstrates how AI improves prediction accuracy, accelerates drug discovery, reduces experimental burden, and enhances the reliability of therapeutic design workflows.
Abstract | Full Text | Open Access Article
Natural Products Pharmacology
Harmine: A Natural β-Carboline with Promising Multi-Targeted Anticancer Potential
Noshin Tasnim Yana1, Md. Nasimul Haque Shipon1, Md Emran Hossain2, Md. Sakib Al Hasan1*, Md. Tahmidur Rahman1, Emon Mia1
Harmine shows multi-targeted anticancer activity, offering potential as a natural, safer alternative to conventional chemotherapy for various cancers.
Abstract | Full Text |PDF (844 KB) | Open Access Article
The peer-reviewed and edited version of record published online before inclusion in an issue
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.
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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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Virtual Screening and Computational Analysis of Natural Compound Targeting CDK4/6 for Pan-Cancer Therapeutic Potential
This study identifies Luteolin as a potential multi-target CDK4/6 inhibitor with broader anti-cancer action than current synthetic drugs.
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Computational Elucidation of EGCG Interaction with PD-L1: A Natural Strategy for Immune Checkpoint Modulation in Melanoma
Epigallocatechin gallate (EGCG) offers a safe, natural alternative to antibody therapies by directly targeting PD-L1 and modulating immune response pathways.
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Targeting Mutant KRAS G12C with Berberine Derivatives: A Molecular Docking and Dynamics Approach in Colorectal Cancer
Berberine offers a natural, safe, and multi-pathway alternative for selectively targeting KRAS G12C in colorectal cancer therapy development.
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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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