Article

In silico Assessment of Bioactive Compounds from Thaalisaathi Chooranam Targeting Alcohol Dehydrogenase in Alcoholic Liver Disease

1★, 1, 1, 1, 1, 1, 1, 1★ Corresponding author

  1. 1Department of Nanju Maruthuvam, National Institute of Siddha (Affiliated to The Tamil Nadu Dr M.G.R Medical University), Tambaram Sanatorium, Chennai, Tamil Nadu, INDIA.

CORRESPONDENCE

Jinavani Jeevagan

Department of Nanju Maruthuvam, National Institute of Siddha (Affiliated to The Tamil Nadu Dr M.G.R Medical University), Tambaram Sanatorium, Chennai-600047, Tamil Nadu, INDIA.

jinajeeva24@gmail.com

Received: 21-05-2026; Revised: 04-06-2026; Accepted: 17-08-2026.

Volume 19, Issue 1 · pp. 215–223 · 2026 · DOI: 10.5530/pres.20270151

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ABSTRACT

Background: Alcoholic Liver Disease (ALD) is a major cause of cirrhosis-related morbidity and mortality, with limited therapies. Alcohol Dehydrogenase (ADH) plays a key role in ethanol metabolism and contributes to hepatic injury. Siddha formulations are rich in bioactive phytoconstituents with potential hepatoprotective effects.

Objectives: To evaluate the drug-likeness and inhibitory potential of bioactive phytoconstituents from Thaalisaathi Chooranam against Human Alcohol Dehydrogenase using in silico ADME analysis and molecular docking studies.

Materials and Methods: A total of 43 bioactive compounds were identified from previously published data of Thaalisaathi Chooranam. After excluding certain fatty acids, five small molecules were selected based on peak area percentage. Drug-likeness and lead-likeness were assessed using the Swiss-ADME web tool following Lipinski’s Rule of Five. Three compounds that met ADME criteria were docked against human alpha-type alcohol dehydrogenase (PDB ID: 1HSO) using iGEMDOCK v2.0. Binding energies and protein-ligand interactions were analyzed.

Results: Swiss-ADME analysis confirmed that the three selected compounds had favourable physicochemical and pharmacokinetic properties. Molecular docking demonstrated their activity against Alcohol Dehydrogenase, with Dihydroqinghaosu showing the strongest binding, stabilised by hydrogen bonds with active site residues, complemented by van der Waals interactions. The other two compounds, 4-Cyano-4-(3,4-methylenedioxyphenyl) cyclohexanone and Apiole, also exhibited strong binding, indicating potential inhibitory activity.

Conclusion: This study showed that bioactive compounds from Thaalisaathi Chooranam, particularly Dihydroqinghaosu, demonstrated strong inhibitory potential against human alcohol dehydrogenase and favourable ADME properties, endorsing their promise as therapeutic leads for ALD and supporting further in vivo and experimental validation.

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INTRODUCTION

Alcoholic Liver Disease (ALD) is a sequence of hepatic diseases, ranging from alcoholic fatty liver to alcoholic hepatitis, ultimately leading to alcoholic cirrhosis, the most advanced and largely irreversible stage of alcohol-induced liver injury (Patel et al., 2024). Alcohol consumption causes about 3.3 million deaths each year worldwide, representing 5.9% of global mortality, and also leads to both acute and chronic liver damage that can result in ALD. (Nagarjuna et al., 2025). The leading cause of cirrhosis (43.2%) in India is alcohol consumption, followed by NAFLD/Cryptogenic liver disease (14.4%), Hepatitis B Virus (11.5%), and Hepatitis C Virus (6.2%), with a significant rise in alcohol-related cirrhosis over recent decades and a concurrent decline in viral etiologies (Elhence et al., 2024).

ALD is considered completely irreversible there are currently no FDA-approved anti-fibrotic therapies for cirrhosis, and therapeutic options remain limited (Nagarjuna et al., 2025; Ohashi et al., 2018). Conventional treatments suggest corticosteroids as the standard treatment for severe alcoholic hepatitis; however, they provide only short-term survival benefit without significant improvement in long-term outcomes, with six-month mortality remaining high (Nagarjuna et al., 2025; Ohashi et al., 2018). There is no treatment for patients with advanced liver disease, liver transplantation is the only option, yet reduced feasibility, rendering the need for alternative and adjunctive therapeutic strategies (Ohashi et al., 2018).

Alcohol Dehydrogenases (ADHs) play an important function in ethanol metabolism. Pharmacological inhibition of ADH using agents such as fomepizole (4-methylpyrazole), a non-specific ADH inhibitor currently used for methanol and ethylene glycol poisoning, has been proposed as a potential strategy to prevent the formation of toxic metabolites in substance intoxication (Di et al., 2021). Traditional Siddha medicine offers various formulations to promote liver health and manage liver diseases, representing the therapeutic strength of this system of medicine (Subramani et al., 2017).

Beyond conventional treatment strategies, there is growing scientific interest in traditional herbal remedies, especially polyherbal formulations, due to their potential to serve as sources of effective therapeutic remedies (Kotmire et al., 2024). This study aimed to evaluate the drug-likeness and inhibitory potential of bioactive compounds from Thaalisaathi Chooranam against human alcohol dehydrogenase using in silico ADME analysis and molecular docking studies.

MATERIALS AND METHODS

In this study, previously published GC-MS data of Thaalisaathi Chooranam (Mudhaliyar, 1992) were analyzed, which identified 43 compounds (Kumarasamy et al., 2016). From these, five small molecules were shortlisted based on peak area percentage after excluding fatty acids, due to their high structural flexibility and nonspecific Hydrophobic Interactions, which may produce unreliable binding scores. The selected compounds were evaluated for pharmacokinetic properties, drug-likeness, and lead-likeness using the SwissADME web tool (http://www.swissadme.ch/) in accordance with Lipinski’s Rule of Five. Compounds that met ADME criteria were subsequently subjected to molecular docking against human alpha-type alcohol dehydrogenase (PDB ID: 1HSO) using iGEMDOCK v2.0 (Yang et al., 2004), and their binding affinities and protein-ligand interactions were analyzed. The method is represented diagrammatically in Figure 1.

Figure 1: Evaluating Drug Likeness and Oral Availability of the Ligands by Radar Graph. a: Radar of 2-Oxo-5,11(13)-eudesmadien-12,8-olide. b: Radar of 4-Cyano-4-(3,4-methylenedioxyphenyl) cyclohexanone. c: Radar of Dihydroqinghaosu. d: Radar of Apiole. e: Radar of Patchoulene.

Selection of Molecules and Ligand Preparation

The following Five Phyto-compounds (Table 1) were selected as ligands based on peak area percentage for drug-likeness analysis and ADME studies (Figure 2). The 5 selected ligand canonical SMILES were obtained from the PubChem website (https://pubchem.ncbi.nlm.nih.gov/). The canonical SMILES were converted to PDB format using Cactus software (https://cactus.nci.nih.gov/translate/).

Figure 2: Selected Ligand and Target for in silico Analysis. a: Ligand 4-Cyano-4-(3,4-methylenedioxyphenyl) cyclohexanone. b: Ligand Dihydroqinghaosu. c: Ligand Apiole. d: Target alcohol Dehydrogenase (PDB ID: 1HSO).
Table 1: Molecular Structures and Physicochemical Properties of the Selected Compounds.
Compounds2-Oxo-5,11(13)-eudesmadien-12,8-olide4-Cyano-4-(3,4-methylenedioxyphenyl) cyclohexanoneDihydroqinghaosuApiolePatchoulene
ABCDE
IUPAC Name5,8a-dimethyl-3-methylidene-3a,5,6,8,9,9a hexahydrobenzo[f][1] benzofuran-2,7-dione1-(benzo[d][1,3] dioxol-5-yl)-4-oxocyclohexane-1-carbonitrile(4S,5R,8S,9R,10S,12R,13R)-1,5,9-trimethyl-11,14,15,16 tetraoxatetracyclo [10.3.1.04,13.08,13] hexadecan-10-ol4,7-dimethoxy-5-prop-2-enyl-1,3-benzodioxole1,5,11,11-tetramethyltricyclo [6.2.1.02,6] undec-2(6)-ene
Canonical SMILESCC1CC(=O) CC2(C1=CC3C(C2) OC(=O)C3=C)CN#CC1(C2=C/C3=C(\C=C/2) OCO3) CCC(=O)CC1C[C@@H]1CC[C@H]2[C@H] ([C@H] (O[C@H]3[C@@]24[C@H]1 CCC(O3)(OO4)C)O)CCOC1=C2C(=C(C(=C1) CC=C) OC) OCO2C[C@@H]1CCC2=C1C[C@@H]3CC[C@@]2(C3(C)C)C
Chemical Structure
Molecular FormulaC15H18O3C14H13NO3C15H24O5C12H14O4C15H24
Molecular Weight246.30243.26284.35222.24204.35
H bond donor00100
H bond acceptor34540
Log p2.272.042.172.443.76
Molar refractivity68.1564.0371.3459.5966.88
No.heavy atoms1818201615
No.Aromatic heavy atoms06060
Fraction Csp30.600.431.000.330.87
No rotatable bonds01040

Ethical statement

Not applicable as this is an in silico computational study not involving live human or animal subjects.

RESULTS

Selection of Target protein

The human liver alpha-type alcohol dehydrogenase enzyme (PDB ID: 1HSO) protein structure was acquired from the protein data bank (www.rcsb.org). The PDB format extraction was used to study the protein's crystal structure. The structure is represented in Figure 2d. Preliminary virtual screening of the extracted compounds was carried out using the iGEMDOCK v2.0 molecular docking program (Yang et al., 2004). Based on the binding energy scores obtained, the compounds of TSC demonstrating the highest binding affinity were shortlisted and subsequently subjected to detailed molecular docking analysis for further evaluation of their interaction with the target protein.

Figure 2: Docking Pose of Selected Compounds through iGemDock. Note: Green and gray colors represent the amino acids involved in Hydrogen Bonding and van der Waals interaction, respectively. a: Predicted Docking pose of Dihydroqinghaosu. b: Predicted Docking pose of 4-Cyano-4-(3,4-methylenedioxyphenyl) cyclohexanone. c: Predicted Docking pose of Apiole.

DISCUSSION

The selection of ADH1A (Hadi et al., 2023) as the molecular target is scientifically coherent, given that its inhibition could reduce the generation of acetaldehyde, a toxic ethanol metabolite central to ALD pathogenesis. The formulation's constituent Triphala Chooranam has documented ADH-inhibitory potential (Banjan et al., 2025), and Coriandrum sativum (Dhanalakshmi et al., 2019) (present in relatively high proportions) has demonstrated beneficial effects in Alcohol Use Disorder clinically. Classical Siddha literature (Siddha Vaithiya Thirattu) (Mudhaliyar et al., 1992) further indicates Thaalisaathi Chooranam in liver cirrhosis (Eeral Ularal). The present in silico investigation evaluated five phytochemical constituents (Compounds A-E) from GC-MS profile of Thaalisaathi Chooranam, a classical Siddha polyherbal formulation, as the inhibitors of human alpha-type alcohol dehydrogenase (ADH1A; PDB ID: 1HSO) (Figure 2).

The physicochemical parameters of Compounds A-E (from Table 1) demonstrated full compliance with Lipinski's Rule of Five (MW ≤ 500 g/mol; Log p≤ 5; HBD ≤ 5; HBA ≤ 10), with molecular weights (204.35-284.35 g/mol) and consensus Log p values (2.04-3.76) falling within the oral bioavailability range of 1-3, associated with successful oral drug candidates in approved pharmaceutical inventories (Lipinski et al., 1997). All compounds additionally satisfied the Ghose, Veber, and Egan filters, reinforcing their pharmacokinetic acceptability. Compounds A-D exhibited moderate lipophilicity (consensus Log P ≈ 2.0-2.4), considered optimal for balancing oral absorption with solubility. These observations agree with the established pharmacokinetic principle that excessive lipophilicity can impair aqueous dissolution and limit bioavailability (Table 3). Predicted aqueous solubility across ESOL, Ali, and Silicos-IT models consistently classified all compounds as "Soluble" (log S>-4), with Compound A demonstrating the highest solubility (ESOL log S =-2.27) and Compound E the lowest (-3.81), still within acceptable drug-like limits (Tables 1 and 2).

Table 2: Predicted Solubility of the screened compounds.
Compounds2-Oxo-5,11(13)-eudesmadien-12,8- olide4-Cyano-4-(3,4-methylenedioxyphenyl) cyclohexanoneDihydroqinghaosuApiolePatchoulene
TPSA43.37 Å259.32 Å257.15 Å236.92 Å20.00 Å2
iLOGP2.181.952.492.850.00
XLOGP31.441.422.992.754.29
WLOGP2.422.322.192.164.56
MLOGP2.381.311.951.405.65
Silicos-IT Log P2.933.171.233.024.30
Consensus Log P2.272.042.172.443.76
ESOL log S-2.27-2.42-3.49-2.96-3.81
ESOL solubility [mg/mL]1.31e+00 mg/mL9.17e-01 mg/mL9.27e-02 mg/mL2.42e-01 mg/mL3.17e-02 mg/mL
ESOL solubility [mol/l]5.32e-03 mol/l3.77e-03 mol/l3.26e-04 mol/l1.09e-03 mol/l1.55e-04 mol/l
ESOL classSolubleSolubleSolubleSolubleSoluble
Ali log S-1.96-2.27-3.85-3.18-4.00
Ali solubility [mg/mL]2.72e+00 mg/mL1.31+00 mg/mL3.98e-02 mg/mL1.47e-01 mg/mL2.03e-02 mg/mL
Ali solubility [mol/l]1.11e-02 mol/l5.36e-03 mol/l1.40e-04 mol/l6.60e-04 mol/l9.93e-05 mol/l
Ali classVery solubleSolubleSolubleSolubleModerately Soluble
Silicos-IT log S-2.94-3.79-1.34-3.26-3.97
Silicos-IT solubility [mg/mL]2.83e-01 mg/mL3.97e-02 mg/mL1.30+01 mg/mL1.21e-01 mg/mL2.19e-02 mg/mL
Silicos-IT solubility [mol/mL]1.15e-03 mol/l1.63e-04 mol/l4.58e-02 mol/l5.45e-04 mol/l1.07e-04 mol/l
Silicos-IT classSolubleSolubleSolubleSolubleSoluble
Lipinski # violationsYes; 0 ViolationYes; 0 violationYes; 0 violationYes;0 violationYes; 1 violation: MLOGP>4.15
Ghose # violationsYesYesYesYesYes
Veber # violationsYesYesYesYesYes
Egan # violationsYesYesYesYesYes
Muegge # violationsYesYesYesYesNo;1 violation: Heteroatoms<2
Bioavailability score0.550.550.550.550.55
PAINS # alerts0 alert0 alert0 alert0 alert0 alert
Brenk # alerts2 alerts: isolated_alkene, Michael_acceptor_10 alert1 alert: Peroxide1 Alert: isolated_ alkene1 alert: isolated_ alkene
Leadlikeness # violationsNo;1 violation: MW < 250No; 1 violation: MW<250YesNo;1 violation: MW<250No;2 violations: MW<250, XLOGP3>3.5
Synthetic accessibility4.172.246.592.575.22

Topological polar surface area values (0.00-59.32 Ų), established intestinal absorption threshold of 140 Ų and the BBB permeability reference limit of 90 Ų, alongside rotatable bond counts (0-4) substantially below Veber's ≤10 threshold, collectively predict high gastrointestinal absorption and favourable membrane permeability for all compounds. Compound E's TPSA of 0.00 Ų reflects complete non-polarity and strong hydrophobic character, consistent with its higher consensus Log P (3.76) and lower predicted aqueous solubility (Table 2).

The absence of PAINS alerts and the uniform Abbott bioavailability score of 0.55 compare favourably against established benchmarks, given that approximately 6-10% of screening library compounds carry PAINS liabilities and a score of ≥0.55 is considered acceptable for early-stage oral candidates (Baell et al., 2010) (Table). Molar refractivity values (59.59-71.34) fell within the Ghose filter range (40-130), and rotatable bond counts (0-4) were well below Veber's threshold of ≤10, indicating optimal molecular flexibility conducive to receptor binding. The Bioavailability Radar profiles (Figure 1) for all compounds predominantly occupied the optimal physicochemical space, and a uniform Abbott bioavailability score of 0.55 was predicted, suggesting a moderate but acceptable probability of oral bioavailability Table 2 (Martin et al., 2005).

All compounds except Compound E show high GI absorption and BBB permeability, indicating favorable oral bioavailability and potential CNS activity; however, Compound B and D exhibit CYP inhibition, suggesting possible drug-drug interactions. Compound E demonstrates poor GI absorption, no BBB penetration, and P-gp efflux, indicating limited systemic and CNS availability despite relatively higher skin permeability (Log Kp) Table 3 (Bosco et al., 2024).

Table 3: Predicted Pharmacokinetics (ADME-T) parameters of the screened compounds.
Compound Name2-Oxo-5,11(13)-eudesmadien -12,8-olide4-Cyano-4-(3,4-methylenedioxyphenyl) cyclohexanoneDihydroqinghaosuApiolePatchoulene
LD505000 mg/kg4000 mg/kg567 mg/kg1000 mg/kg5000 mg/kg
Toxicity Class55445
HepatotoxicNoNoNoNoNo
Water Solubility (SILICOS-IT)Very SolubleSolubleSolubleSolubleModerately Soluble
BBB PermeantYesYesYesYesNo
GI AbsorptionHighHighHighHighLow
P-gp SubstrateNoYesNoNoYes
Lipinski RuleYes; 0 ViolationYes; 0 ViolationYes; 0 ViolationYes; 0 ViolationYes; 1 Violation: MLOGP > 4.15
CYP1A2 inhibitorNoYesNoYesNo
CYP2C19 inhibitorNoYesNoNoNo
CYP2C9 inhibitorNoNoNoNoNo
CYP2D6 inhibitorNoNoNoNoNo
CYP3A4 inhibitorNoNoNoNoNo
Log Kp [cm/s]-6.78 cm/s-6.78 cm/s-5.91 cm/s-5.70 cm/s-4.50 cm/s

Molecular docking analysis

Following ADME-guided exclusion of Compounds A and E, three lead compounds -Dihydroqinghaosu, 4-Cyano-4-(3,4-methylenedioxyphenyl) cyclohexanone, and Apiole -were subjected to molecular docking against the ADH1A active site using iGEMDOCK (Kiran, 2022) (population size 200; 70 generations; very slow/accurate mode). Dihydroqinghaosu exhibited the highest binding affinity (-83.54 kcal/mol), with a strong hydrogen bonding contribution of -29.32 kcal/mol involving active site residues CYS46, THR48, HIS51, and the catalytic zinc ion ZN1376 (Figure 3 and Table 4). The prominent involvement of the zinc centre is mechanistically significant, as zinc coordinates the substrate hydroxyl group during catalysis in ADH enzymes; competitive occupancy of this site could directly attenuate enzymatic activity. These interactions suggest that Dihydroqinghaosu may act through a zinc-chelation-mediated inhibitory mechanism, meriting further investigation (Asahi et al., 2023).

Table 4: Total Binding energy of docked ligands obtained by igemdock.
Sl. No.CompoundEnergyVDWHBONDAA-HBONDS
1.4-Cyano-4-(3,4-methylenedioxyphenyl) cyclohexanone-82.22-71.92-10.31HIS51, PYZ1378
2.Dihydroqinghaosu-83.54-57.22-29.32CYS46, THR48, HIS51, ZN1376
3.Apiole-80.25-61.21-19.05CYS46, CYS174, LEU319, ZN1376, PYZ1378

4-Cyano-4-(3,4-methylenedioxyphenyl) cyclohexanone ranked second (-82.22 kcal/mol), with dominant van der Waals interactions (-71.92 kcal/mol) through hydrophobic contacts with GLY47, THR178, VAL292, and VAL294, though its hydrogen bonding energy (-10.31 kcal/mol) was comparatively lower, implying reduced binding specificity. Apiole demonstrated moderate overall affinity (-80.25 kcal/mol) with balanced van der Waals (-61.21 kcal/mol) and hydrogen bonding (-19.05 kcal/mol) contributions, engaging CYS46, CYS174, LEU319, ZN1376, and PYZ1378 -a broader residue interaction profile suggestive of stable but less specific active-site accommodation.

Toxicity Prediction

Toxicity profiling via the ProTox-II web tool classified all five compounds (Table 3) under GHS Toxicity Classes 4 and 5 (LD50: 567-5000 mg/kg), indicating low to practically non-toxic acute oral toxicity profiles, with no compound demonstrating predicted hepatotoxicity -a critically favourable finding given the hepatic disease context of the study (Venkatachalam et al., 2025; Cheng et al., 2012). Aqueous solubility ranged from Very Soluble to Moderately Soluble, with high GI absorption predicted for Compounds 1-4, while Patchoulene exhibited low GI absorption, moderate solubility, and a single Lipinski violation (MLOGP>4.15), collectively reflecting a lipophilicity-driven bioavailability limitation requiring formulation-level intervention (Lipinski et al., 1997). P-glycoprotein efflux substrate activity predicted for Compounds 2 and 5 suggests potential reduction in intestinal uptake and tissue distribution, Since Compounds 1, 3, and 4 are not P-gp substrates, they are less likely to be actively effluxed, allowing better systemic availability (International Transporter Consortium et al., 2010).

LIMITATIONS

The present work represents a preliminary in silico initiative aimed at identifying potential lead compounds targeting human alcohol dehydrogenase. As the findings are based solely on computational docking predictions, further detailed in vitro and in vivo studies are required to validate the biological efficacy and therapeutic potential of the identified compounds.

CONCLUSION

The present in silico study demonstrated that among the screened compounds, Dihydroqinghaosu exhibited the highest binding affinity toward human alpha-type alcohol dehydrogenase (PDB ID: 1HSO), with the lowest total binding energy (-83.54 kcal/mol). The interaction analysis revealed significant hydrogen bonding with key active site residues, including CYS46, THR48, HIS51, and the catalytic Zinc Ion (ZN1376), indicating strong and specific binding within the enzyme’s active pocket. Compared to 4-Cyano-4-(3,4-methylenedioxyphenyl) cyclohexanone and Apiole, Dihydroqinghaosu showed superior interaction stability due to a higher hydrogen bond contribution along with favorable van der Waals interactions. These findings suggest that Dihydroqinghaosu may act as a potential modulator of alcohol dehydrogenase activity and could be considered a promising lead candidate for further pharmacological investigation in alcohol-induced liver damage.

ACKNOWLEDGEMENT

The authors gratefully acknowledge Apex Biotechnology Training and Research Institute, Ekattuthangal, Chennai for providing the technical support and computational resources required to carry out this in silico research work. The authors extend their gratitude for all the web tools used in this study, including PubChem, IMPPAT, Swiss ADME, Cactus software, ProTox3.0, iGemDock, and Open Babel. Also, extend our acknowledgement to AI Tools for grammatical corrections.

ABBREVIATIONS

AA
Amino Acids
ADH
Alcohol Dehydrogenase
ADH1A
Alcohol Dehydrogenase 1A
ADME
Absorption, Distribution, Metabolism, and Excretion
ALD
Alcoholic Liver Disease
BBB
Blood-Brain Barrier
CNS
Central Nervous System
CYP
Cytochrome P450
ESOL
Estimated Solubility
FDA
Food and Drug Administration
GC-MS
Gas Chromatography Mass Spectrometry
GI
Gastrointestinal
GHS
Globally Harmonized System
HBOND
Hydrogen Bond
HBA
Hydrogen Bond Acceptor
HBD
Hydrogen Bond Donor
HCV
Hepatitis C Virus
HBV
Hepatitis B Virus
iLOGP
Internal Log Partition Coefficient
LD50
Lethal Dose 50
MLOGP
Moriguchi Log Partition Coefficient
NAFLD
Non-Alcoholic Fatty Liver Disease
PAINS
Pan Assay Interference Compounds
PDB
Protein Data Bank
P-gp
P-glycoprotein
SMILES
Simplified Molecular Input Line Entry System
TPSA
Topological Polar Surface Area
TSC
Thaalisaathi Chooranam
VDW
Van der Waals
WLOGP
Wildman-Crippen Log Partition Coefficient
XLOGP3
Predicted Log Partition Coefficient (version 3).

CONFLICT OF INTEREST

The authors declare that there is no conflict of interest.

FUNDING

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

AUTHORS CONTRIBUTION

Conceptualization, Resources, Data curation, Methodology, Investigation, Funding acquisition: Jinavani Jeevagan. Investigation, Writing original draft: Jinavani Jeevagan, Abarna Balasubramani. Writing - Review & Editing: Shaira Banu I, Priyadharshini M, Visualization: Prof. Murugesan Sannasi, Formal Analysis: Sathish Adithya Rajathinakaran, Project administration, Supervision: Prof. Madhavan Ramachandhran.

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Jeevagan, J., Ismail, S. B., Balasubramani, A., Muniyasamy, P., Sannasi, M., Adithya, S., Rajathinakaran, & Ramachandran, M. (2026). In silico Assessment of Bioactive Compounds from Thaalisaathi Chooranam Targeting Alcohol Dehydrogenase in Alcoholic Liver Disease. Pharmacognosy Research, 19(1), 215–223. https://doi.org/10.5530/pres.20270151