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Journal of Multidisciplinary Applied Natural Science

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Journal of Multidisciplinary Applied Natural Science

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Cilt 5 Sayı 2 (2025) Articles https://doi.org/10.47352/jmans.2774-3047.258

Investigation of New 4-Benzyloxy-2-trichloromethylquinazoline Derivatives as Plasmodium falciparum Dihydrofolate Reductase-thymidylate Synthase Inhibitors: QSAR, ADME, Drug-likeness, Toxicity, Molecular Docking and Molecular Dynamics Simulation

Radite Yogaswara Harno Dwi Pranowo Niko Prasetyo Maria Ludya Pulung

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Radite Yogaswara

https://orcid.org/0000-0002-5937-6200
  • r.yogaswara@unipa.ac.id
  • Department of Chemistry, Universitas Gadjah Mada, Yogyakarta-55281 (Indonesia); Austrian-Indonesian Centre (AIC) for Computational Chemistry, Universitas Gadjah Mada, Yogyakarta-55281 (Indonesia); Department of Chemistry Education, Universitas Papua, Manokwari-98311 (Indonesia)
  • ##plugins.themes.gdThemes.author.noBiography##

##plugins.themes.gdThemes.author.info##

Harno Dwi Pranowo

https://orcid.org/0000-0002-0223-5036
  • harnodp@ugm.ac.id
  • Department of Chemistry, Universitas Gadjah Mada, Yogyakarta-55281 (Indonesia); Austrian-Indonesian Centre (AIC) for Computational Chemistry, Universitas Gadjah Mada, Yogyakarta-55281 (Indonesia)
  • ##plugins.themes.gdThemes.author.noBiography##

##plugins.themes.gdThemes.author.info##

Niko Prasetyo

https://orcid.org/0000-0003-0266-7258
  • nikop@ugm.ac.id
  • Department of Chemistry, Universitas Gadjah Mada, Yogyakarta-55281 (Indonesia); Austrian-Indonesian Centre (AIC) for Computational Chemistry, Universitas Gadjah Mada, Yogyakarta-55281 (Indonesia)
  • ##plugins.themes.gdThemes.author.noBiography##

##plugins.themes.gdThemes.author.info##

Maria Ludya Pulung

https://orcid.org/0000-0002-2458-7198
  • l.pulung@unipa.ac.id
  • Department of Chemistry, Universitas Gadjah Mada, Yogyakarta-55281 (Indonesia); Department of Chemistry, Universitas Papua, Manokwari-98311 (Indonesia)
  • ##plugins.themes.gdThemes.author.noBiography##

##plugins.themes.gdThemes.publishedIn##: Mayıs 18, 2025

[1]
R. Yogaswara, H. D. Pranowo, N. Prasetyo, ve M. L. Pulung, “Investigation of New 4-Benzyloxy-2-trichloromethylquinazoline Derivatives as Plasmodium falciparum Dihydrofolate Reductase-thymidylate Synthase Inhibitors: QSAR, ADME, Drug-likeness, Toxicity, Molecular Docking and Molecular Dynamics Simulation”, J. Multidiscip. Appl. Nat. Sci., c. 5, sy 2, ss. 456–486, May. 2025.

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Özet

Plasmonium falciparum dihydrofolate reductase-thymidylate synthase (PfDHFR-TS) is one of the most crucial antimalarial targets. Mutations in the binding pocket of this target lead to resistance to the antifolate. The mutations influence the amino acid residues at points 51, 59, 108 and 164 and contribute significantly to malaria not being treated well. Priority should therefore be given to the development of antifolate-resistance drugs. These studies aim to investigate new 4-benzyloxy-2-trichloromethylquinazoline derivatives as PfDHFR-TS inhibitors using QSAR, ADME, drug-likeness, toxicity, molecular docking studies, and molecular dynamics simulations. The best equation model from the QSAR analysis used MLR and PLS statistics to show that the pIC50 is linearly related to GATS4e, SpMax AEA(ed), and Mor28e, but inverted when compared to ATS6m and ATSC7m. The predictive ability of the model was confirmed by internal and external validation. In addition, the Y-randomization validation showed that the QSAR model was reliable, robust, and stable, with a cRp2 score of over 0.5. ADME and drug-likeness predictions confirmed the new QSAR design for molecules S10, S23 and S64. Based on the toxicity results, three molecules are expected to have moderate and non-toxic properties, starting with S23 and then S10 and S64. Molecular docking studies show that all three molecules have high binding energies, 9.869, 9.589, and 9.565 kcal/mol. The amino acid residues Leu46, Asp54, Ser111, and Thr185 play a major role in ligand-receptor interaction in the binding pocket of quadruple mutant PfDHFR-TS. Furthermore, an evaluation of molecular dynamics simulations of three complexes S10-3JSU, S23-3JSU and S64-3JSU demonstrated stable interactions over 100 ns.

Referanslar

  • [1] M. Fikadu and E. Ashenafi. (2023). "Malaria: An Overview". Infection and Drug Resistance. 16 : 3339-3347. 10.2147/IDR.S405668.

    DOI: https://doi.org/10.2147/IDR.S405668
  • [2] F. M. Wunsch, B. Wunsch, F. A. Bernal, and T. J. Schmidt. (2021). "Quantitative Structure-Activity Relationships of Natural-Product-Inspired, Aminoalkyl-Substituted 1-Benzopyrans as Novel Antiplasmodial Agents". Molecules. 26 (17). 10.3390/molecules26175249.

    DOI: https://doi.org/10.3390/molecules26175249
  • [3] S. Rout and R. K. Mahapatra. (2019). "Plasmodium falciparum: Multidrug resistance". Chemical Biology & Drug Design. 93 (5): 737-759. 10.1111/cbdd.13484.

    DOI: https://doi.org/10.1111/cbdd.13484
  • [4] A. K. Pandey, V. Baboo, V. N. Mishra, V. K. Singh, and A. Dwivedi. (2020). "Comparative Study of Molecular Docking, Structural, Electronic, Vibrational Spectra and Fukui Function Studies of Thiadiazole Containing Schiff Base – A Complete Density Functional Study". Polycyclic Aromatic Molecules. 42 (1): 13-39. 10.1080/10406638.2020.1712440.

    DOI: https://doi.org/10.1080/10406638.2020.1712440
  • [5] J. Yuvaniyama, P. Chitnumsub, S. Kamchonwongpaisan, J. Vanichtanankul, W. Sirawaraporn, P. Taylor, M. D. Walkinshaw, and Y. Yuthavong. (2003). "Insights into antifolate resistance from malarial DHFR-TS structures". Nature Structural & Molecular Biology. 10 (5): 357-65. 10.1038/nsb921.

    DOI: https://doi.org/10.1038/nsb921
  • [6] A. Nzila, M. Rottmann, P. Chitnumsub, S. M. Kiara, S. Kamchonwongpaisan, C. Maneeruttanarungroj, S. Taweechai, B. K. Yeung, A. Goh, S. B. Lakshminarayana, B. Zou, J. Wong, N. L. Ma, M. Weaver, T. H. Keller, V. Dartois, S. Wittlin, R. Brun, Y. Yuthavong, and T. T. Diagana. (2010). "Preclinical evaluation of the antifolate QN254, 5-chloro- N'6'-(2,5-dimethoxy-benzyl)-quinazoline-2,4,6-triamine, as an antimalarial drug candidate". Antimicrobial Agents and Chemotherapy. 54 (6): 2603-10. 10.1128/AAC.01526-09.

    DOI: https://doi.org/10.1128/AAC.01526-09
  • [7] C. Roper, R. Pearce, B. Bredenkamp, J. Gumede, C. Drakeley, F. Mosha, D. Chandramohan, and B. Sharp. (2003). "Antifolate antimalarial resistance in southeast Africa: a population-based analysis". Lancet. 361 (9364): 1174-81. 10.1016/S0140-6736(03)12951-0.

    DOI: https://doi.org/10.1016/S0140-6736(03)12951-0
  • [8] Y. Yuthavong, J. Yuvaniyama, P. Chitnumsub, J. Vanichtanankul, S. Chusacultanachai, B. Tarnchompoo, T. Vilaivan, and S. Kamchonwongpaisan. (2005). "Malarial (Plasmodium falciparum) dihydrofolate reductase-thymidylate synthase: structural basis for antifolate resistance and development of effective inhibitors". Parasitology. 130 (Pt 3): 249-59. 10.1017/s003118200400664x.

    DOI: https://doi.org/10.1017/S003118200400664X
  • [9] E. Kenangalem, J. R. Poespoprodjo, N. M. Douglas, F. H. Burdam, K. Gdeumana, F. Chalfein, Prayoga, F. Thio, A. Devine, J. Marfurt, G. Waramori, S. Yeung, R. Noviyanti, P. Penttinen, M. J. Bangs, P. Sugiarto, J. A. Simpson, Y. Soenarto, N. M. Anstey, and R. N. Price. (2019). "Malaria morbidity and mortality following introduction of a universal policy of artemisinin-based treatment for malaria in Papua, Indonesia: A longitudinal surveillance study". PLOS Medicine. 16 (5): e1002815. 10.1371/journal.pmed.1002815.

    DOI: https://doi.org/10.1371/journal.pmed.1002815
  • [10] H. R. Bhat, P. K. Pandey, S. K. Ghosh, and U. P. Singh. (2013). "Development of 4-aminoquinoline-1,3,5-triazine conjugates as potent antibacterial agent through facile synthetic route". Medicinal Chemistry Research. 22 (10): 5056-5065. 10.1007/s00044-013-0521-8.

    DOI: https://doi.org/10.1007/s00044-013-0521-8
  • [11] S. Balabadra, M. Kotni, V. Manga, A. D. Allanki, R. Prasad, and P. S. Sijwali. (2017). "Synthesis and evaluation of naphthyl bearing 1,2,3-triazole analogs as antiplasmodial agents, cytotoxicity and docking studies". Bioorganic & Medicinal Chemistry. 25 (1): 221-232. 10.1016/j.bmc.2016.10.029.

    DOI: https://doi.org/10.1016/j.bmc.2016.10.029
  • [12] M. Aarjane, S. Slassi, and A. Amine. (2021). "Synthesis, antibacterial evaluation and computational studies of new acridone-1,2,3-triazole hybrids". Journal of Molecular Structure. 1241. 10.1016/j.molstruc.2021.130636.

    DOI: https://doi.org/10.1016/j.molstruc.2021.130636
  • [13] R. A. Azzam, R. E. Elsayed, and G. H. Elgemeie. (2020). "Design, Synthesis, and Antimicrobial Evaluation of a New Series of N-Sulfonamide 2-Pyridones as Dual Inhibitors of DHPS and DHFR Enzymes". ACS Omega. 5 (18): 10401-10414. 10.1021/acsomega.0c00280.

    DOI: https://doi.org/10.1021/acsomega.0c00280
  • [14] S. Shahzad, M. A. Qadir, M. Ahmed, S. Ahmad, M. J. Khan, A. Gulzar, and M. Muddassar. (2020). "Folic acid-sulfonamide conjugates as antibacterial agents: design, synthesis and molecular docking studies". RSC Advances. 10 (70): 42983-42992. 10.1039/d0ra09051d.

    DOI: https://doi.org/10.1039/D0RA09051D
  • [15] D. J. Christian, R. H. Vekariya, K. D. Patel, D. P. Rajani, S. D. Rajani, K. Parmar, M. T. Chhabaria, and H. D. Patel. (2020). "Molecular Docking and QSAR Study of Chalcone and Pyrimidine Derivatives as Potent Anti-Malarial Agents against <i>Plasmodium falciparum</i>". International Letters of Chemistry, Physics and Astronomy. 85 : 23-34. 10.56431/p-75shdg.

    DOI: https://doi.org/10.56431/p-75shdg
  • [16] J. Syahri, H. Nasution, B. A. Nurohmah, B. Purwono, E. Yuanita, N. H. Zakaria, and N. I. Hassan. (2020). "Design, Synthesis and Biological Evaluation of Aminoalkylated Chalcones as Antimalarial Agent". Sains Malaysiana. 49 (11): 2667-2677. 10.17576/jsm-2020-4911-06.

    DOI: https://doi.org/10.17576/jsm-2020-4911-06
  • [17] J. Syahri, E. Yuanita, B. Achromi Nurohmah, M. Hizbul Wathon, R. Syafri, R. Armunanto, and B. Purwono. (2017). "Xanthone as Antimalarial: QSAR Analysis, Synthesis, Molecular Docking and In-vitro Antimalarial Evaluation". Oriental Journal of Chemistry. 33 (1): 29-40. 10.13005/ojc/330104.

    DOI: https://doi.org/10.13005/ojc/330104
  • [18] A. Gellis, N. Primas, S. Hutter, G. Lanzada, V. Remusat, P. Verhaeghe, P. Vanelle, and N. Azas. (2016). "Looking for new antiplasmodial quinazolines: DMAP-catalyzed synthesis of 4-benzyloxy- and 4-aryloxy-2-trichloromethylquinazolines and their in vitro evaluation toward Plasmodium falciparum". European Journal of Medicinal Chemistry. 119 : 34-44. 10.1016/j.ejmech.2016.04.059.

    DOI: https://doi.org/10.1016/j.ejmech.2016.04.059
  • [19] R. Karan, P. Agarwal, M. Sinha, and N. Mahato. (2021). "Recent Advances on Quinazoline Derivatives: A Potential Bioactive Scaffold in Medicinal Chemistry". ChemEngineering. 5 (4). 10.3390/chemengineering5040073.

    DOI: https://doi.org/10.3390/chemengineering5040073
  • [20] A. Dutta and D. Sarma. (2020). "Recent advances in the synthesis of Quinazoline analogues as Anti-TB agents". Tuberculosis (Edinb). 124 : 101986. 10.1016/j.tube.2020.101986.

    DOI: https://doi.org/10.1016/j.tube.2020.101986
  • [21] C. Castera-Ducros, N. Azas, P. Verhaeghe, S. Hutter, P. Garrigue, A. Dumetre, L. Mbatchi, M. Laget, V. Remusat, F. Sifredi, S. Rault, P. Rathelot, and P. Vanelle. (2011). "Targeting the human malaria parasite Plasmodium falciparum: in vitro identification of a new antiplasmodial hit in 4-phenoxy-2-trichloromethylquinazoline series". European Journal of Medicinal Chemistry. 46 (9): 4184-91. 10.1016/j.ejmech.2011.06.021.

    DOI: https://doi.org/10.1016/j.ejmech.2011.06.021
  • [22] P. Verhaeghe, A. Dumetre, C. Castera-Ducros, S. Hutter, M. Laget, C. Fersing, M. Prieri, J. Yzombard, F. Sifredi, S. Rault, P. Rathelot, P. Vanelle, and N. Azas. (2011). "4-Thiophenoxy-2-trichloromethyquinazolines display in vitro selective antiplasmodial activity against the human malaria parasite Plasmodium falciparum". Bioorganic & Medicinal Chemistry Letters. 21 (19): 6003-6. 10.1016/j.bmcl.2011.06.113.

    DOI: https://doi.org/10.1016/j.bmcl.2011.06.113
  • [23] P. S. Auti, G. George, and A. T. Paul. (2020). "Recent advances in the pharmacological diversification of quinazoline/quinazolinone hybrids". RSC Advances. 10 (68): 41353-41392. 10.1039/d0ra06642g.

    DOI: https://doi.org/10.1039/D0RA06642G
  • [24] V. Alagarsamy, K. Chitra, G. Saravanan, V. R. Solomon, M. T. Sulthana, and B. Narendhar. (2018). "An overview of quinazolines: Pharmacological significance and recent developments". European Journal of Medicinal Chemistry. 151 : 628-685. 10.1016/j.ejmech.2018.03.076.

    DOI: https://doi.org/10.1016/j.ejmech.2018.03.076
  • [25] M. Saeedi, M. Mohammadi-Khanaposhtani, P. Pourrabia, N. Razzaghi, R. Ghadimi, S. Imanparast, M. A. Faramarzi, F. Bandarian, E. N. Esfahani, M. Safavi, H. Rastegar, B. Larijani, M. Mahdavi, and T. Akbarzadeh. (2019). "Design and synthesis of novel quinazolinone-1,2,3-triazole hybrids as new anti-diabetic agents: In vitro alpha-glucosidase inhibition, kinetic, and docking study". Bioorganic Chemistry. 83 : 161-169. 10.1016/j.bioorg.2018.10.023.

    DOI: https://doi.org/10.1016/j.bioorg.2018.10.023
  • [26] T. S. Patel, J. D. Bhatt, R. B. Dixit, C. J. Chudasama, B. D. Patel, and B. C. Dixit. (2019). "Green synthesis, biological evaluation, molecular docking studies and 3D-QSAR analysis of novel phenylalanine linked quinazoline-4(3H)-one-sulphonamide hybrid entities distorting the malarial reductase activity in folate pathway". Bioorganic & Medicinal Chemistry. 27 (16): 3574-3586. 10.1016/j.bmc.2019.06.038.

    DOI: https://doi.org/10.1016/j.bmc.2019.06.038
  • [27] P. Pathak, V. Naumovich, M. Grishina, P. K. Shukla, A. Verma, and V. Potemkin. (2019). "Quinazoline based 1,3,5-triazine derivatives as cancer inhibitors by impeding the phosphorylated RET tyrosine kinase pathway: Design, synthesis, docking, and QSAR study". Archiv der Pharmazie. 352 (9): e1900053. 10.1002/ardp.201900053.

    DOI: https://doi.org/10.1002/ardp.201900053
  • [28] O. O. Ajani, D. V. Aderohunmu, E. N. Umeokoro, and A. O. Olomieja. (2016). "Quinazoline pharmacophore in therapeutic medicine". Bangladesh Journal of Pharmacology. 11 (3). 10.3329/bjp.v11i3.25731.

    DOI: https://doi.org/10.3329/bjp.v11i3.25731
  • [29] R. S. Cheke, S. D. Shinde, J. P. Ambhore, S. R. Chaudhari, and S. B. Bari. (2022). "Quinazoline: An update on current status against convulsions". Journal of Molecular Structure. 1248. 10.1016/j.molstruc.2021.131384.

    DOI: https://doi.org/10.1016/j.molstruc.2021.131384
  • [30] P. Jiwamurwa Pama Tjitda, F. O. Nitbani, and D. Mbunga. (2022). "QSAR and Molecular Docking of Pyrimidine Derivatives Against Plasmodium falciparum dihydrofolate reductase-thymidylate synthase (PfDHFR-TS)". Journal of Research in Pharmacy. 26(6) (26(6)): 1723-1735. 10.29228/jrp.284.

    DOI: https://doi.org/10.29228/jrp.284
  • [31] Y. S. Kurniawan, T. Indriani, H. Amrulloh, L. C. Adi, A. C. Imawan, K. T. A. Priyangga, and E. Yudha. (2023). "The Journey of Natural Products: From Isolation Stage to Drug’s Approval in Clinical Trials". Bioactivities. 1 (2): 43-60. 10.47352/bioactivities.2963-654X.190.

    DOI: https://doi.org/10.47352/bioactivities.2963-654X.190
  • [32] I. Arief, H. D. Pranowo, M. Mudasir, and K. Wijaya. (2021). "QSAR-Based Design of Potent Betulinic Acid Derivatives as HIV Maturation Inhibitors". Chiang Mai University Journal of Natural Sciences. 20 (1): e2021010.

    DOI: https://doi.org/10.12982/CMUJNS.2021.010
  • [33] A. W. Mahmud, G. A. Shallangwa, and A. Uzairu. (2020). "QSAR and molecular docking studies of 1,3-dioxoisoindoline-4-aminoquinolines as potent antiplasmodium hybrid molecules". Heliyon. 6 (3): e03449. 10.1016/j.heliyon.2020.e03449.

    DOI: https://doi.org/10.1016/j.heliyon.2020.e03449
  • [34] F. D. Prieto-Martínez, E. López-López, K. Eurídice Juárez-Mercado, and J. L. Medina-Franco. (2019). In: "In Silico Drug Design". 19-44. 10.1016/b978-0-12-816125-8.00002-x.

    DOI: https://doi.org/10.1016/B978-0-12-816125-8.00002-X
  • [35] A. Das, M. Sarangi, K. Jangid, V. Kumar, A. Kumar, P. P. Singh, K. Kaur, V. Kumar, S. Chakraborty, and V. Jaitak. (2024). "Identification of 1,3,4-oxadiazoles as tubulin-targeted anticancer agents: a combined field-based 3D-QSAR, pharmacophore model-based virtual screening, molecular docking, molecular dynamics simulation, and density functional theory calculation approach". Journal of Biomolecular Structure and Dynamics. 42 (19): 10323-10341. 10.1080/07391102.2023.2256876.

    DOI: https://doi.org/10.1080/07391102.2023.2256876
  • [36] M. Er-Rajy, M. El Fadili, N. N. Mrabti, S. Zarougui, and M. Elhallaoui. (2022). "QSAR, molecular docking, ADMET properties in silico studies for a series of 7-propanamide benzoxaboroles as potent anti-cancer agents". Chinese Journal of Analytical Chemistry. 50 (12). 10.1016/j.cjac.2022.100163.

    DOI: https://doi.org/10.1016/j.cjac.2022.100163
  • [37] S. Moshawih, H. P. Goh, N. Kifli, M. A. E. Darwesh, C. Ardianto, K. W. Goh, and L. C. Ming. (2024). "Identification and optimization of TDP1 inhibitors from anthraquinone and chalcone derivatives: consensus scoring virtual screening and molecular simulations". Journal of Biomolecular Structure and Dynamics. 42 (19): 10286-10310. 10.1080/07391102.2023.2256870.

    DOI: https://doi.org/10.1080/07391102.2023.2256870
  • [38] P. M. Khan and K. Roy. (2018). "Current approaches for choosing feature selection and learning algorithms in quantitative structure-activity relationships (QSAR)". Expert Opinion on Drug Discovery. 13 (12): 1075-1089. 10.1080/17460441.2018.1542428.

    DOI: https://doi.org/10.1080/17460441.2018.1542428
  • [39] A. Tropsha. (2010). "Best Practices for QSAR Model Development, Validation, and Exploitation". Molecular Informatics. 29 (6-7): 476-88. 10.1002/minf.201000061.

    DOI: https://doi.org/10.1002/minf.201000061
  • [40] A. Mauri. (2020). In: "Ecotoxicological QSARs, (Methods in Pharmacology and Toxicology, ch. Chapter 32". 801-820. 10.1007/978-1-0716-0150-1_32.

    DOI: https://doi.org/10.1007/978-1-0716-0150-1_32
  • [41] Z. Y. u. Ibrahim, A. Uzairu, G. Shallangwa, and S. Abechi. (2020). "QSAR and molecular docking based design of some indolyl-3-ethanone-α-thioethers derivatives as Plasmodium falciparum dihydroorotate dehydrogenase (PfDHODH) inhibitors". SN Applied Sciences. 2 (7). 10.1007/s42452-020-2955-1.

    DOI: https://doi.org/10.1007/s42452-020-2955-1
  • [42] M. Abdullahi, A. Uzairu, G. A. Shallangwa, P. A. Mamza, and M. T. Ibrahim. (2022). "2D-QSAR, 3D-QSAR, molecular docking and ADMET prediction studies of some novel 2-((1H-indol-3-yl)thio)-N-phenyl-acetamide derivatives as anti-influenza A virus". Egyptian Journal of Basic and Applied Sciences. 9 (1): 510-532. 10.1080/2314808x.2022.2108592.

    DOI: https://doi.org/10.1080/2314808X.2022.2108592
  • [43] Y. E. Masaoudy, I. Aanouz, Y. Moukhliss, Y. Koubi, H. Maghat, T. Lakhlifi, and M. Bouachrine. (2020). "2D-QSAR study of the antimicrobial activity of a series of 5-(substituted benzaldehyde) thiazolidine-2,4-dione derivatives against Staphylococcus aureus by Multiple Linear Regression method". Journal of Materials and Environmental Science. 11 (11): 1914-1927.

  • [44] K. Tabti, A. Sbai, H. Maghat, M. Bouachrine, and T. Lakhlifi. (2020). "2D and 3D-QSAR/CoMSIA Comparative Study On a Series of Thiazole Derivatives as SDHI Inhibitors". Maghrebian Journal of Pure and Applied Science. 6 (2): 73-90.

  • [45] B. Raju, B. Sapra, and O. Silakari. (2023). "3D-QSAR assisted identification of selective CYP1B1 inhibitors: an effective bioisosteric replacement/molecular docking/electrostatic complementarity analysis". Molecular Diversity. 27 (6): 2673-2693. 10.1007/s11030-022-10574-7.

    DOI: https://doi.org/10.1007/s11030-022-10574-7
  • [46] A. Dick and S. Cocklin. (2020). "Bioisosteric Replacement as a Tool in Anti-HIV Drug Design". Pharmaceuticals (Basel). 13 (3). 10.3390/ph13030036.

    DOI: https://doi.org/10.3390/ph13030036
  • [47] J. B. Ghasemi and F. Shiri. (2011). "Molecular docking and 3D-QSAR studies of falcipain inhibitors using CoMFA, CoMSIA, and Open3DQSAR". Medicinal Chemistry Research. 21 (10): 2788-2806. 10.1007/s00044-011-9803-1.

    DOI: https://doi.org/10.1007/s00044-011-9803-1
  • [48] T. I. Netzeva, A. Worth, T. Aldenberg, R. Benigni, M. T. Cronin, P. Gramatica, J. S. Jaworska, S. Kahn, G. Klopman, C. A. Marchant, G. Myatt, N. Nikolova-Jeliazkova, G. Y. Patlewicz, R. Perkins, D. Roberts, T. Schultz, D. W. Stanton, J. J. van de Sandt, W. Tong, G. Veith, and C. Yang. (2005). "Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships. The report and recommendations of ECVAM Workshop 52". Alternatives to Laboratory Animals. 33 (2): 155-73. 10.1177/026119290503300209.

    DOI: https://doi.org/10.1177/026119290503300209
  • [49] P. Gramatica. (2007). "Principles of QSAR models validation: internal and external". QSAR & Combinatorial Science. 26 (5): 694-701. 10.1002/qsar.200610151.

    DOI: https://doi.org/10.1002/qsar.200610151
  • [50] W. P. Walters. (2012). "Going further than Lipinski's rule in drug design". Expert Opinion on Drug Discovery. 7 (2): 99-107. 10.1517/17460441.2012.648612.

    DOI: https://doi.org/10.1517/17460441.2012.648612
  • [51] A. K. Ghose, V. N. Viswanadhan, and J. J. Wendoloski. (1999). "A knowledge-based approach in designing combinatorial or medicinal chemistry libraries for drug discovery. 1. A qualitative and quantitative characterization of known drug databases". Journal of Combinatorial Chemistry. 1 (1): 55-68. 10.1021/cc9800071.

    DOI: https://doi.org/10.1021/cc9800071
  • [52] D. F. Veber, S. R. Johnson, H. Y. Cheng, B. R. Smith, K. W. Ward, and K. D. Kopple. (2002). "Molecular properties that influence the oral bioavailability of drug candidates". Journal of Medicinal Chemistry. 45 (12): 2615-23. 10.1021/jm020017n.

    DOI: https://doi.org/10.1021/jm020017n
  • [53] W. J. Egan, K. M. Merz, Jr., and J. J. Baldwin. (2000). "Prediction of drug absorption using multivariate statistics". Journal of Medicinal Chemistry. 43 (21): 3867-77. 10.1021/jm000292e.

    DOI: https://doi.org/10.1021/jm000292e
  • [54] I. Muegge, S. L. Heald, and D. Brittelli. (2001). "Simple selection criteria for drug-like chemical matter". Journal of Medicinal Chemistry. 44 (12): 1841-6. 10.1021/jm015507e.

    DOI: https://doi.org/10.1021/jm015507e
  • [55] Y. C. Martin. (2005). "A bioavailability score". Journal of Medicinal Chemistry. 48 (9): 3164-70. 10.1021/jm0492002.

    DOI: https://doi.org/10.1021/jm0492002
  • [56] A. Daina, O. Michielin, and V. Zoete. (2017). "SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules". Scientific Reports. 7 : 42717. 10.1038/srep42717.

    DOI: https://doi.org/10.1038/srep42717
  • [57] C. Hansch, A. Leo, S. B. Mekapati, and A. Kurup. (2004). "QSAR and ADME". Bioorganic & Medicinal Chemistry. 12 (12): 3391-400. 10.1016/j.bmc.2003.11.037.

    DOI: https://doi.org/10.1016/j.bmc.2003.11.037
  • [58] Z. Jin, Y. Wang, X. F. Yu, Q. Q. Tan, S. S. Liang, T. Li, H. Zhang, P. C. Shaw, J. Wang, and C. Hu. (2020). "Structure-based virtual screening of influenza virus RNA polymerase inhibitors from natural molecules: Molecular dynamics simulation and MM-GBSA calculation". Computational Biology and Chemistry. 85 : 107241. 10.1016/j.compbiolchem.2020.107241.

    DOI: https://doi.org/10.1016/j.compbiolchem.2020.107241
  • [59] S. Chtita, A. Aouidate, A. Belhassan, A. Ousaa, A. I. Taourati, B. Elidrissi, M. Ghamali, M. Bouachrine, and T. Lakhlifi. (2020). "QSAR study of N-substituted oseltamivir derivatives as potent avian influenza virus H5N1 inhibitors using quantum chemical descriptors and statistical methods". New Journal of Chemistry. 44 (5): 1747-1760. 10.1039/c9nj04909f.

    DOI: https://doi.org/10.1039/C9NJ04909F
  • [60] F. Cheng, W. Li, Y. Zhou, J. Shen, Z. Wu, G. Liu, P. W. Lee, and Y. Tang. (2012). "admetSAR: a comprehensive source and free tool for assessment of chemical ADMET properties". Journal of Chemical Information and Modeling. 52 (11): 3099-105. 10.1021/ci300367a.

    DOI: https://doi.org/10.1021/ci300367a
  • [61] L. Guan, H. Yang, Y. Cai, L. Sun, P. Di, W. Li, G. Liu, and Y. Tang. (2019). "ADMET-score - a comprehensive scoring function for evaluation of chemical drug-likeness". Medchemcomm. 10 (1): 148-157. 10.1039/c8md00472b.

    DOI: https://doi.org/10.1039/C8MD00472B
  • [62] A. M. Viana Nunes, F. das Chagas Pereira de Andrade, L. A. Filgueiras, O. A. de Carvalho Maia, R. Cunha, S. V. A. Rodezno, A. L. M. Maia Filho, F. A. de Amorim Carvalho, D. C. Braz, and A. N. Mendes. (2020). "preADMET analysis and clinical aspects of dogs treated with the Organotellurium molecule RF07: A possible control for canine visceral leishmaniasis?". Environmental Toxicology and Pharmacology. 80 : 103470. 10.1016/j.etap.2020.103470.

    DOI: https://doi.org/10.1016/j.etap.2020.103470
  • [63] L. Fu, S. Shi, J. Yi, N. Wang, Y. He, Z. Wu, J. Peng, Y. Deng, W. Wang, C. Wu, A. Lyu, X. Zeng, W. Zhao, T. Hou, and D. Cao. (2024). "ADMETlab 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision support". Nucleic Acids Research. 52 (W1): W422-W431. 10.1093/nar/gkae236.

    DOI: https://doi.org/10.1093/nar/gkae236
  • [64] D. E. Pires, T. L. Blundell, and D. B. Ascher. (2015). "pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures". Journal of Medicinal Chemistry. 58 (9): 4066-72. 10.1021/acs.jmedchem.5b00104.

    DOI: https://doi.org/10.1021/acs.jmedchem.5b00104
  • [65] P. Banerjee, E. Kemmler, M. Dunkel, and R. Preissner. (2024). "ProTox 3.0: a webserver for the prediction of toxicity of chemicals". Nucleic Acids Research. 52 (W1): W513-W520. 10.1093/nar/gkae303.

    DOI: https://doi.org/10.1093/nar/gkae303
  • [66] Y. Yeni and R. A. Rachmania. (2023). "Toxicity of Anti-Inflammatory Substances in Hemigraphis Alternata Leaves: In Silico Study Using ProTox-II". Jurnal Sains dan Kesehatan. 5 (5): 810-815. 10.25026/jsk.v5i5.1975.

    DOI: https://doi.org/10.25026/jsk.v5i5.1975
  • [67] R. Yogaswara, M. L. Pulung, S. H. Yuliani, and E. P. Istyastono. (2020). "Docking-Guided 3D-QSAR Studies of 4-Aminoquinoline-1,3,5-triazines as Inhibitors for <i>Plasmodium falciparum</i> Dihydrofolate Reductase". Indonesian Journal of Chemistry. 20 (6). 10.22146/ijc.50674.

    DOI: https://doi.org/10.22146/ijc.50674
  • [68] G. Nugraha and E. P. Istyastono. (2021). "Virtual Target Construction for Structure-Based Screening in the Discovery of Histamine H2 Receptor Ligands". International Journal of Applied Pharmaceutics. 239-241. 10.22159/ijap.2021v13i3.41202.

    DOI: https://doi.org/10.22159/ijap.2021v13i3.41202
  • [69] T. Steinbrecher and A. Labahn. (2010). "Towards accurate free energy calculations in ligand protein-binding studies". Current Medicinal Chemistry. 17 (8): 767-85. 10.2174/092986710790514453.

    DOI: https://doi.org/10.2174/092986710790514453
  • [70] V. Limongelli. (2020). "Ligand binding free energy and kinetics calculation in 2020". WIREs Computational Molecular Science. 10 (4). 10.1002/wcms.1455.

    DOI: https://doi.org/10.1002/wcms.1455
  • [71] Y. S. Kurniawan, E. Yudha, G. Nugraha, N. Fatmasari, H. D. Pranowo, J. Jumina, and E. N. Sholikhah. (2024). "Molecular Docking and Molecular Dynamic Investigations of Xanthone-Chalcone Derivatives against Epidermal Growth Factor Receptor for Preliminary Discovery of Novel Anticancer Agent". Indonesian Journal of Chemistry. 24 (1). 10.22146/ijc.88449.

    DOI: https://doi.org/10.22146/ijc.88449
  • [72] M. El Faydy, L. Lakhrissi, N. Dahaieh, K. Ounine, B. Tuzun, N. Chahboun, A. Boshaala, A. AlObaid, I. Warad, B. Lakhrissi, and A. Zarrouk. (2024). "Synthesis, Biological Properties, and Molecular Docking Study of Novel 1,2,3-Triazole-8-quinolinol Hybrids". ACS Omega. 9 (23): 25395-25409. 10.1021/acsomega.4c03906.

    DOI: https://doi.org/10.1021/acsomega.4c03906
  • [73] T. Venianakis, C. Oikonomaki, M. G. Siskos, A. Primikyri, and I. P. Gerothanassis. (2021). "DFT Calculations of (1)H NMR Chemical Shifts of Geometric Isomers of Conjugated Linolenic Acids, Hexadecatrienyl Pheromones, and Model Triene-Containing Molecules: Structures in Solution and Revision of NMR Assignments". Molecules. 26 (11). 10.3390/molecules26113477.

    DOI: https://doi.org/10.3390/molecules26113477
  • [74] V. A. Semenov and L. B. Krivdin. (2020). "DFT computational schemes for (1) H and (13) C NMR chemical shifts of natural products, exemplified by strychnine". Magnetic Resonance in Chemistry. 58 (1): 56-64. 10.1002/mrc.4922.

    DOI: https://doi.org/10.1002/mrc.4922
  • [75] N. Grimblat and A. M. Sarotti. (2016). "Computational Chemistry to the Rescue: Modern Toolboxes for the Assignment of Complex Molecules by GIAO NMR Calculations". Chemistry. 22 (35): 12246-61. 10.1002/chem.201601150.

    DOI: https://doi.org/10.1002/chem.201601150
  • [76] P. Gao, J. Zhang, Q. Peng, J. Zhang, and V. A. Glezakou. (2020). "General Protocol for the Accurate Prediction of Molecular (13)C/(1)H NMR Chemical Shifts via Machine Learning Augmented DFT". Journal of Chemical Information and Modeling. 60 (8): 3746-3754. 10.1021/acs.jcim.0c00388.

    DOI: https://doi.org/10.1021/acs.jcim.0c00388
  • [77] G. Sliwoski, J. Mendenhall, and J. Meiler. (2016). "Autocorrelation descriptor improvements for QSAR: 2DA_Sign and 3DA_Sign". Journal of Computer-Aided Molecular Design. 30 (3): 209-17. 10.1007/s10822-015-9893-9.

    DOI: https://doi.org/10.1007/s10822-015-9893-9
  • [78] A. Mauri and M. Bertola. (2022). "Alvascience: A New Software Suite for the QSAR Workflow Applied to the Blood-Brain Barrier Permeability". International Journal of Molecular Sciences. 23 (21). 10.3390/ijms232112882.

    DOI: https://doi.org/10.3390/ijms232112882
  • [79] J. Afsar, S. Brij Kishore, and S. Vishnu Dutt. (2021). "Quantitative structure-activity relationship study on the MMP-13 inhibitory activity of fused pyrimidine derivatives possessing a 1,2,4-Triazol-3-yl group as a ZBG". GSC Biological and Pharmaceutical Sciences. 16 (1): 251-265. 10.30574/gscbps.2021.16.1.0199.

    DOI: https://doi.org/10.30574/gscbps.2021.16.1.0199
  • [80] J. Yuan, S. Yu, S. Gao, Y. Gan, Y. Zhang, T. Zhang, Y. Wang, L. Yang, J. Shi, and W. Yao. (2016). "Predicting the biological activities of triazole derivatives as SGLT2 inhibitors using multilayer perceptron neural network, support vector machine, and projection pursuit regression models". Chemometrics and Intelligent Laboratory Systems. 156 : 166-173. 10.1016/j.chemolab.2016.06.002.

    DOI: https://doi.org/10.1016/j.chemolab.2016.06.002
  • [81] Z. Amini, M. H. Fatemi, and S. Gharaghani. (2016). "Hybrid docking-QSAR studies of DPP-IV inhibition activities of a series of aminomethyl-piperidones". Computational Biology and Chemistry. 64 : 335-345. 10.1016/j.compbiolchem.2016.08.003.

    DOI: https://doi.org/10.1016/j.compbiolchem.2016.08.003
  • [82] Z. Ya'u Ibrahim, A. Uzairu, G. A. Shallangwa, S. E. Abechi, and S. Isyaku. (2022). "Quantitative Structure-Activity Relationship, Structure-based Design, and ADMET studies of pyrimethamine and cycloguanil analogs inhibitors of Plasmodium falciparum dihydrofolate reductase-thymidylate synthase (PfDHFR-TS)". Chemical Physics Impact. 5. 10.1016/j.chphi.2022.100132.

    DOI: https://doi.org/10.1016/j.chphi.2022.100132
  • [83] K. S. Kannan and K. Manoj. (2015). "Outlier detection in multivariate data". Applied Mathematical Sciences. 9 : 2317-2324. 10.12988/ams.2015.53213.

    DOI: https://doi.org/10.12988/ams.2015.53213
  • [84] C. P. Dhakal. (2017). "Dealing with Outliers and Influential Points While Fitting Regression". Journal of Institute of Science and Technology. 22 (1): 61-65. 10.3126/jist.v22i1.17741.

    DOI: https://doi.org/10.3126/jist.v22i1.17741
  • [85] G. Tedesco. "Using the Spark reagent databases to identify bioisosteric R-group replacements". 1-7.

  • [86] Y. Yuthavong, B. Tarnchompoo, T. Vilaivan, P. Chitnumsub, S. Kamchonwongpaisan, S. A. Charman, D. N. McLennan, K. L. White, L. Vivas, E. Bongard, C. Thongphanchang, S. Taweechai, J. Vanichtanankul, R. Rattanajak, U. Arwon, P. Fantauzzi, J. Yuvaniyama, W. N. Charman, and D. Matthews. (2012). "Malarial dihydrofolate reductase as a paradigm for drug development against a resistance-compromised target". Proceedings of the National Academy of Sciences. 109 (42): 16823-8. 10.1073/pnas.1204556109.

    DOI: https://doi.org/10.1073/pnas.1204556109

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