Evidence mapPaperPMID 39623147Full record

ArticleCell biochemistry and biophysics2025

Discovery of Galangin Derivatives as a Potential T-cell Leukemia Virus 1 Protease Inhibitor Through Chemoinformatics Approaches.

Shopnil Akash, Sharifa Sultana, Mirza Nafeul Islam, Md Harun Or Rashid, Gbolahan Oladipupo Oduselu, Farah Chafika Kaouche, Emad Rashad Sindi, Gabriel Christian de Farias Morais, Al-Anood M Al-Dies, Jonas Ivan Nobre Oliveira

Abstract read
PubMed Publisher
In one paragraph

Article in Cell biochemistry and biophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Shopnil AkashComputational Biology Research Laboratory, Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, Bangladesh. shopnil.ph@gmail.com.
Sharifa SultanaComputational Biology Research Laboratory, Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, Bangladesh.
Mirza Nafeul IslamDepartment of Pharmacy, University of Rajshahi, Rajshahi, Bangladesh.
Md Harun Or RashidSchool of Natural Sciences, Macquarie University Sydney, Sydney, NSW, 2109, Australia.
Gbolahan Oladipupo OduseluCovenant University Bioinformatics Research, Covenant University, Ota, Ogun State, Nigeria.
Farah Chafika KaoucheDepartment of chemistry, Faculty of Engineering, Istanbul University, Istanbul, Türkiye.
Emad Rashad SindiDivision of Clinical Biochemistry, Department of Basic Medical Sciences, College of Medicine, University of Jeddah, Jeddah, Saudi Arabia.
Gabriel Christian de Farias MoraisDepartment of Biophysics and Pharmacology, Federal University of Rio Grande do Norte, Natal/RN, Brazil.
Al-Anood M Al-DiesChemistry Department, Umm Al-Qura University, Al-Qunfudah University College, Al-Qunfudah, Saudi Arabia.
Jonas Ivan Nobre OliveiraDepartment of Biophysics and Pharmacology, Federal University of Rio Grande do Norte, Natal/RN, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human T-cell leukemia virus 1 (HTLV-1) has become a life-threatening problem, infecting a significant number of people every year; however, the effective treatment options for this disease are limited. This research focuses on the development of T-cell leukemia virus 1 protease inhibitor modifying galangin, a natural phytochemical with multiple pharmacological properties. However, galangin also has disadvantages, in particular poor bioavailability and solubility. To overcome these limitations, the primary structure of galangin was modified with various functional groups and computational drug design methods were applied to develop potential inhibitors for the human T-cell leukemia virus 1 protease including Lipinski's rule, Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET), quantum energetic descriptions, molecular docking, electrostatic potential analysis, binding free energy calculations, and molecular dynamics simulations. These techniques are essential in determining the stability and suitability of new drug molecules with target proteins. Molecular docking studies demonstrated that the newly modified galangin derivative exhibits the strongest binding affinity for the HTLV-1 protease. In particular, compounds 02 and 03 showed significantly stronger binding affinities. Subsequently, the two best compounds were subjected to molecular dynamics simulations over 100 ns, which provided insights into the stability and flexibility of the protein-ligand complexes. Principal component analysis, calculation of the binding free energy, and the dynamic cross-correlation matrix during the simulations provided new perspectives on conformational changes within the drug-protein complex. The newly developed galangin derivatives show promising efficacy as potential therapeutics against HTLV-1 protease. The findings of this study suggest that further experimental validation could be pursued to support new drug development in the fight against HTLV-1.

Indexed as

CheminformaticsDrug DiscoveryFlavonoidsHuman T-lymphotropic virus 1Protease InhibitorsAntiviral AgentsAspartic Acid EndopeptidasesHumansMolecular Docking SimulationMolecular Dynamics SimulationThermodynamicsAntiviral AgentsAspartic Acid EndopeptidasesFlavonoidsgalanginHTLV-1 proteaseProtease InhibitorsDFTGalangin derivativesHuman T-cell leukemia virus 1, and Molecular dynamic simulation.Molecular docking

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.