5-Arylidene derivatives of 3-(benzo[d]thiazol-2-ylamino)-2-thioxothiazolidin-4-one as potential antineoplastic agents – in silico evaluation

Authors

DOI:

https://doi.org/10.26641/2307-0404.2025.3.340765

Keywords:

rhodanine, benzothiazole, 5-arylidene substituents, biological activity, drug development, in silico prediction, antineoplastic agents, SAR analysis

Abstract

Computer modeling and in silico prediction of molecular properties are rational approaches in early Drug Development, facilitating the targeted synthesis. One of the promising scaffold for the Drug Design is the rhodanine cycle due to the possibility of introducing substituents in positions 3 and 5. The aim of the work is to study the spectrum of biological activity of a series of 5-arylidene derivatives of 3-(benzo[d]thiazol-2-ylamino)-2-thioxothiazolidin-4-one, predict the affinity for therapeutic targets and establish their possible affiliation to certain codes according to the Anatomical Therapeutic Chemical Classification System of drugs, and predict possible toxicity of hit compounds via the online services. The investigated series of compounds consists of 21 derivatives. In silico prediction was carried out with the use of the web resources SuperPred 3.0, ProTox 3.0. A wide spectrum of biological activity of the derivatives of the series with a predominant antitumour effect is demonstrated. The group structural similarity of compounds to antineoplastic and immunomodulating agents was established. A high probability of group-level efficacy is predicted for the antitumor therapy targets: Krüppel-like factor 5, Nuclear factor erythroid 2-related factor 2, and DNA-(apurinic/apyrimidinic site) lyase. Compounds 3 ((ethyl (E)-4-(2-(2-((3-(benzo[d]thiazol-2-ylamino)-4-oxo-2-thioxothiazolidin-5-ylidene)methyl)-4-chlorophenoxy)acetamido)benzoate)), 4 ((E)-2-(2-((3-(benzo[d]thiazol-2-yla­mino)-4-oxo-2-thioxothiazolidin-5-ylidene)methyl)-4-chlorophenoxy)-N-(4-sulfamoylphenyl)acetamide) and 9 ((E)-2-(2-((3-(benzo[d]thiazol-2-ylamino)-4-oxo-2-thioxothiazolidin-5-ylidene)methyl)-4,6-dimethylphenoxy)acetamide) can be conside­red as hit compounds. With high predictive model accuracy, their potential impact on the specified targets is 99.43%, 95.88%, and 96.92%, respectively. Compound 3 is a potential multi-hitter. The obtained results confirmed the viability of further in vitro, in vivo research.

References

Akash S, Arefin F, Aovi FI. In silico investigation of potential therapeutic medication for the inhibition of dengue virus (DENV NS2B/NS3 and NS1) by modification of polycyclic quaternary alkaloid (sanguinarine derivatives) with different computational approaches. Biointerface Res Appl Chem. 2023;13(5):403. doi: https://doi.org/10.33263/BRIAC135.403

Mosula L, Zimenkovsky B, Havrylyuk D, Missir A-V, Chirita IC, Lesyk R. Synthesis and antitumor activity of novel 2-thioxo-4-thiazolidinones with benzo-thiazole moieties. [Internet]. Farmacia. 2009 [cited 2025 Jun 29];57(3):321-30. Available from: https://farmaciajournal.com/arhiva/20093/issue32009art08.pdf

Mosula LM, Kolodych IO, Mosula VS. [Virtual screening of the properties of a series of 5-arylidene deri-vatives of 3-(benzo[d]thiazol-2-ylamino)-2-thioxothiazo-lidin-4-one]. Annaly Mechnykovskoho Instytutu. 2025;1:73-80. Ukrainian. doi: https://doi.org/10.5281/zenodo.15011532

SuperPred 3.0 [Internet]. [cited 2025 Jun 29]. Available from: https://prediction.charite.de/index.php/

Kopak NA. Searching of biological activity of S-esters 4- acetylaminobenzenethiosulfoacid using methods of chemoinformatics. Chem Technol Appl Subst. 2023;6(2):76-86. doi: https://doi.org/10.23939/ctas2023.02.076

Gallo K, Goede A, Preissner R, Gohlke BO. SuperPred 3.0: drug classification and target prediction-a machine learning approach. Nucleic Acids Res. 2022;50(W1):W726-W31. doi: https://doi.org/10.1093/nar/gkac297

ProTox 3.0 [Internet]. [cited 2025 Jun 29]. Available from: https://tox.charite.de

Gao Y, Ding Y, Haiying C, Haijun C, Zhou J. Targeting Krüppel-Like Factor 5 (KLF5) for Cancer Therapy. Curr Top Med Chem. 2015;15(8):699-13. doi: https://doi.org/10.2174/1568026615666150302105052

Siraj AK, Pratheeshkumar P, Divya SP, et al. Krupple-Like Factor 5 is a Potential Therapeutic Target and Prognostic Marker in Epithelial Ovarian Cancer. Front Pharmacol. 2020;11:598880. doi: https://doi.org/10.3389/fphar.2020.598880

Paramasivan P, Kankia IH, Langdon SP, Deeni YY. Emerging role of nuclear factor erythroid 2-related factor 2 in the mechanism of action and resistance to anticancer therapies. Cancer Drug Resist. 2019;2:490-15. doi: http://dx.doi.org/10.20517/cdr.2019.57

He F, Antonucci L, Karin M. NRF2 as a regulator of cell metabolism and inflammation in cancer. Car-cinogenesis. 2020;41(4):405-16. doi: https://doi.org/10.1093/carcin/bgaa039

Lin Y, McMahon A, Driscoll G, Bullock S, Zhao J, Yan S. Function and molecular mechanisms of APE2 in genome and epigenome integrity. Mutat Res Rev Mutat Res. 2021;787:108347. doi: https://doi.org/10.1016/j.mrrev.2020.108347

Hans F, Senarisoy M, Bhaskar Naidu C, Timmins J. Focus on DNA Glycosylases-A Set of Tightly Regulated Enzymes with a High Potential as Anticancer Drug Targets. Int J Mol Sci. 2020;21(23):9226. doi: https://doi.org/10.3390/ijms21239226

Zhang A, Fan T, Liu Y, Yu G, Li C, Jiang Z. Regulatory T cells in immune checkpoint blockade antitumor therapy. Mol Cancer. 2024;23(1):251. doi: https://doi.org/10.1186/s12943-024-02156-y

Dembic Z. Antitumor Drugs and Their Targets. Molecules. 2020;25(23):5776. doi: https://doi.org/10.3390/molecules25235776

Albarran V, San Roman M, Pozas J, et al. Adoptive T cell therapy for solid tumors: current land-scape and future challenges. Front Immunol. 2024;15:1352805. doi: https://doi.org/10.3389/fimmu.2024.1352805

Shen X, Zhang Y, Xu Z, et al. KLF5 inhibition overcomes oxaliplatin resistance in patient-derived colorectal cancer organoids by restoring apoptotic response. Cell Death Dis. 2022;13:303. doi: https://doi.org/10.1038/s41419-022-04773-1

Singh A, Venkannagari S, Oh KH, et al. Small Molecule Inhibitor of NRF2 Selectively Intervenes Therapeutic Resistance in KEAP1-Deficient NSCLC Tumors. ACS Chemical Biology. 2016;11(11):3214-25. doi: https://doi.org/10.1021/acschembio.6b00651

Madhusudan S, Smart F, Shrimpton P, et al. Isolation of a small molecule inhibitor of DNA base excision repair. Nucleic Acids Research. 2005;33(15):4711-24. doi: https://doi.org/10.1093/nar/gki781

Pidugu LS, Servius HW, Sevdalis SE, et al. Characterizing inhibitors of human AP endonuclease 1. PloS ONE. 2023;18(1):e0280526. doi: https://doi.org/10.1371/journal.pone.0280526

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Published

2025-09-29

How to Cite

1.
Mosula L, Zhmura I, Mosula V. 5-Arylidene derivatives of 3-(benzo[d]thiazol-2-ylamino)-2-thioxothiazolidin-4-one as potential antineoplastic agents – in silico evaluation. Med. perspekt. [Internet]. 2025Sep.29 [cited 2025Dec.5];30(3):211-9. Available from: https://journals.uran.ua/index.php/2307-0404/article/view/340765

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PHARMACY