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International Journal of
Botany Studies
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VOL. 11, ISSUE 3 (2026)
Deciphering the role of ANLN as a key driver in virus-induced hepatocellular carcinoma through transcriptomic analysis and structure-based drug discovery
Authors
Khushboo Kirade, Arav Sharma, Nandan Dixit, Hamendra Singh Parmar, Saumya K Patel
Abstract
Hepatocellular carcinoma (HCC) associated with chronic viral hepatitis caused by hepatitis B virus (HBV), hepatitis C virus (HCV), and hepatitis D virus (HDV) remains a major global health challenge. In this study, an integrative bioinformatics approach was employed to investigate the molecular mechanisms underlying viral hepatitis-associated HCC using eight Gene Expression Omnibus (GEO) datasets (GSE107170, GSE62232, GSE44074, GSE19665, GSE98383, GSE47197, GSE63214, and GSE69715), comprising tumour and adjacent non-tumour liver tissues from HBV-, HCV-, and HDV-infected patients. Differential gene expression analysis identified thousands of differentially expressed genes (DEGs), and Venn diagram analysis revealed 65 genes that were consistently upregulated across all three viral infection groups. Functional enrichment analyses, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), highlighted key biological processes, molecular functions, cellular components, and signalling pathways involved in viral hepatitis-induced hepatocarcinogenesis. Protein–protein interaction (PPI) network analysis, followed by CytoHubba-based hub gene identification, uncovered ten key hub genes—CDK1, ASPM, KIF23, TTK, ANLN, KIF20A, HMMR, BIRC5, RRM2, and KIF14—all of which exhibited significant differential expression and prognostic significance. Virtual screening of 30,926 natural compounds from the NPASS database against ANLN (PDB ID: 4XH3) identified five promising lead candidates, with 4-(4,5-Dihydroxy-2-(Hydroxymethyl) Benzyl) Benzene-1,2-Diol (NPC471485) showing the highest docking affinity (−7.166 kcal/mol). However, subsequent 500 ns molecular dynamics simulations and MM/GBSA binding free energy analyses demonstrated that Dihydrobinetin (NPC325028) formed the most thermodynamically stable complex with ANLN, exhibiting a binding free energy (ΔG_Bind) of −45.05 kcal/mol. Collectively, these findings provide comprehensive insights into the molecular landscape of viral hepatitis-associated HCC and establish a strong computational basis for the development of ANLN-targeted therapeutic strategies.
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Pages:119-127
How to cite this article:
Khushboo Kirade, Arav Sharma, Nandan Dixit, Hamendra Singh Parmar, Saumya K Patel "Deciphering the role of ANLN as a key driver in virus-induced hepatocellular carcinoma through transcriptomic analysis and structure-based drug discovery". International Journal of Botany Studies, Vol 11, Issue 3, 2026, Pages 119-127
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