Year 2025,
, 129 - 156, 05.01.2025
Moulay Ahfid El Alaouy
,
Marwa Alaqarbeh
,
Mohamed Ouabane
,
Abdelouahid Sbai
,
Tahar Lakhlıfı
,
Mohammed Bouachrıne
References
- [1] N. Özdemir, M. Dinçer, A. Çukurovalı, O. Büyükgüngör, Experimental and theoretical investigation of the molecular and electronic structure of 5-(4-aminophenyl)-4-(3-methyl-3-phenylcyclobutyl)thiazol-2-amine, Journal of Molecular Modeling., 15 (2009) 1435–1445.
- [2] J. Jose, J.K. Varughese, M.K. Parvez, T.V. Mathew, Probing the inhibition of MAO-B by chalcones: an integrated approach combining molecular docking, ADME analysis, MD simulation, and MM-PBSA calculations, Journal of Molecular Modeling., 30 (2024) 103.
- [3] V.L. Tananta, E.V. Costa, Y.S. Mary, Y.S. Mary, J. S.Al-Otaibi, R.A. Costa, DFT, ADME studies and evaluation of the binding with HSA and MAO-B inhibitory potential of protoberberine alkaloids from Guatteria friesiana: theoretical insights of promising candidates for the treatment of Parkinson’s disease, Journal of Molecular Modeling., 29 (2023) 353.
- [4] F.P. Moraes, W.F. De Azevedo, Targeting imidazoline site on monoamine oxidase B through molecular docking simulations, Journal of Molecular Modeling., 18 (2012) 3877–3886.
- [5] M. D’Ascenzio, P. Chimenti, M.C. Gidaro, C. De Monte, D. De Vita, A. Granese, L. Scipione, R. Di Santo, G. Costa, S. Alcaro, M. Yáñez, S. Carradori, (Thiazol-2-yl)hydrazone derivatives from acetylpyridines as dual inhibitors of MAO and AChE: synthesis, biological evaluation and molecular modeling studies, Journal of Enzyme Inhibition and Medicinal Chemistry, 30 (2015) 908–919.
- [6] Y.-Q. Zhu, J.-F. Pei, Z.-M. Liu, L.-H. Lai, J.-R. Cui, R.-T. Li, 3D-QSAR studies on tripeptide aldehyde inhibitors of proteasome using CoMFA and CoMSIA methods, Bioorganic & Medicinal Chemistry., 14 (2006) 1483–1496.
- [7] D. Secci, S. Carradori, A. Petzer, P. Guglielmi, M. D’Ascenzio, P. Chimenti, D. Bagetta, S. Alcaro, G. Zengin, J.P. Petzer, F. Ortuso, 4-(3-Nitrophenyl)thiazol-2-ylhydrazone derivatives as antioxidants and selective hMAO-B inhibitors: synthesis, biological activity and computational analysis, Journal of Enzyme Inhibition and Medicinal Chemistry., 34 (2019) 597–612.
- [8] T.R. Anderson, T.A. Slotkin, Maturation of the adrenal medulla--IV Effects of morphine, Biochemical Pharmacology., 24 (1975) 1469–1474.
- [9] A. Shibu, S. Jones, P.L. Tolley, D. Diaz, C.O. Kwiatkowski, D.S. Jones, J.M. Shivas, J.J. Foley, T.A. Schmedake, M.G. Walter, Correlating structure and photophysical properties in thiazolo[5,4- d ]thiazole crystal derivatives for use in solid-state photonic and fluorescence-based optical devices, Materials Advances., 4 (2023) 6321–6332.
- [10] K. Ravi Singh, T.N. Lohith, T. Ananth Nag, M.A. Sridhar, M.P. Sadashiva, Structure property relationship in two thiazole derivatives: Insights of crystal structure, Hirshfeld surface, DFT, QTAIM, NBO and molecular docking studies, Molecular Crystals and Liquid Crystals., 763 (2023) 54–72.
- [11] H. Hadni, M. Elhallaoui, 3D-QSAR, docking and ADMET properties of aurone analogues as antimalarial agents, Heliyon, 6 (2020) e03580.
- [12] M.A. El Alaouy, M. Alaqarbeh, M. Ouabane, H. Zaki, M. ElBouhi, H. Badaoui, Y. Moukhliss, A. Sbai, H. Maghat, T. Lakhlifi, M. Bouachrine, Computational Prediction of 3,5-Diaryl-1H-Pyrazole and spiropyrazolines derivatives as potential acetylcholinesterase inhibitors for alzheimer disease treatment by 3D-QSAR, molecular docking, molecular dynamics simulation, and ADME-Tox, Journal of Biomolecular Structure and Dynamics., (2023) 1–14.
- [13] D. Secci, S. Carradori, A. Petzer, P. Guglielmi, M. D’Ascenzio, P. Chimenti, D. Bagetta, S. Alcaro, G. Zengin, J.P. Petzer, F. Ortuso, 4-(3-Nitrophenyl)thiazol-2-ylhydrazone derivatives as antioxidants and selective hMAO-B inhibitors: synthesis, biological activity and computational analysis, Journal of Enzyme Inhibition and Medicinal Chemistry., 34 (2019) 597–612.
- [14] Y. Wang, F. Bai, H. Cao, J. Li, H. Liu, P. Gramatica, A Combined Quantitative Structure-Activity Relationship Research of Quinolinone Derivatives as Androgen Receptor Antagonists, Combinatorial Chemistry & High Throughput Screening., 18 (2015) 834–845.
- [15] C. Hansch, A. Kurup, R. Garg, H. Gao, Chem-Bioinformatics and QSAR: A Review of QSAR Lacking Positive Hydrophobic Terms, Chemical Reviews., 101 (2001) 619–672.
- [16] M. Shahlaei, A. Fassihi, L. Saghaie, E. Arkan, A. Madadkar-Sobhani, A. Pourhossein, Computational evaluation of some indenopyrazole derivatives as anticancer compounds; application of QSAR and docking methodologies, Journal of Enzyme Inhibition and Medicinal Chemistry., 28 (2013) 16–32.
- [17] M. Boutalaka, S. El Bahi, M. Alaqarbeh, M.A. El Alaouy, Y. Koubi, K.E. Khatabi, H. Maghat, M. Bouachrine, T. Lakhlifi, Computational investigation of imidazo[2,1-b]oxazole derivatives as potential mutant BRAF kinase inhibitors: 3D-QSAR, molecular docking, molecular dynamics simulation, and ADMETox studies, Journal of Biomolecular Structure and Dynamics., (2023) 1–20.
- [18] S. El Bahi, M. Boutalaka, M.A. El Alaouy, S. Bouamrane, M. Alaqarbeh, M. Choukrad, A. Sbai, M. Bouachrine, T. Lakhlifi, Computational investigation of novel pyrimidine derivatives as potent FAK inhibitors via 3D-QSAR, molecular docking, molecular dynamics simulation and retrosynthesis, New Journal of Chemistry., 47 (2023) 12816–12829.
- [19] K. Tabti, S. Baammi, L. ElMchichi, A. Sbai, H. Maghat, M. Bouachrine, T. Lakhlifi, Computational investigation of pyrrolidin derivatives as novel GPX4/MDM2–p53 inhibitors using 2D/3D-QSAR, ADME/toxicity, molecular docking, molecular dynamics simulations, and MM-GBSA free energy, Journal of Structural Chemistry., 33 (2022) 1019–1039.
- [20] H.T.T. Lai, L.H. Nguyen, A.D. Phan, A. Kranjc, T.T. Nguyen, D. Nguyen-Manh, A comparative study of receptor interactions between SARS-CoV and SARS-CoV-2 from molecular modeling, Journal of Molecular Modeling., 28 (2022) 305.
- [21] M.A. El Alaouy, M. Alaqarbeh, M. Ouabane, H. Zaki, M. ElBouhi, H. Badaoui, Y. Moukhliss, A. Sbai, H. Maghat, T. Lakhlifi, M. Bouachrine, Computational Prediction of 3,5-Diaryl-1H-Pyrazole and spiropyrazolines derivatives as potential acetylcholinesterase inhibitors for alzheimer disease treatment by 3D-QSAR, molecular docking, molecular dynamics simulation, and ADME-Tox, Journal of Biomolecular Structure and Dynamics., (2023) 1–14.
- [22] R. Mahmoudzadeh Laki, E. Pourbasheer, 3D-QSAR Modeling on 2-Pyrimidine Carbohydrazides as Utrophin Modulators for the Treatment of Duchenne Muscular Dystrophy by Combining CoMFA, CoMSIA, and Molecular Docking Studies, ACS Omega Journal, 9 (2024) 24707–24720.
- [23] K.A. Saad, M.A. Eldawy, K.M. Elokely, Studies of the symmetric binding mode of daclatasvir and analogs using a new homology model of HCV NS5A GT-4a, Journal of Molecular Modeling., 29 (2023) 25.
- [24] S. Carradori, F. Ortuso, A. Petzer, D. Bagetta, C. De Monte, D. Secci, D. De Vita, P. Guglielmi, G. Zengin, A. Aktumsek, S. Alcaro, J.P. Petzer, Design, synthesis and biochemical evaluation of novel multi-target inhibitors as potential anti-Parkinson agents, European Journal of Medicinal Chemistry., 143 (2018) 1543–1552.
- [25] X. Chai, J. Zhang, H. Hu, S. Yu, Q. Sun, Z. Dan, Y. Jiang, Q. Wu, Design, synthesis, and biological evaluation of novel triazole derivatives as inhibitors of cytochrome P450 14α-demethylase, European Journal of Medicinal Chemistry., 44 (2009) 1913–1920.
- [26] L. El Mchichi, A. El Aissouq, R. Kasmi, A. Belhassan, R. El-Mernissi, A. Ouammou, T. Lakhlifi, M. Bouachrine, In silico design of novel Pyrazole derivatives containing thiourea skeleton as anti-cancer agents using: 3D QSAR, Drug-Likeness studies, ADMET prediction and molecular docking, Mater. Materials Today: Proceedings., 45 (2021) 7661–7674.
- [27] S. Bouamrane, A. Khaldan, H. Hajji, R. El-mernissi, M. Alaqarbeh, N. Alsakhen, H. Maghat, M.A. Ajana, A. Sbai, M. Bouachrine, T. Lakhlifi, In silico identification of 1,2,4-triazoles as potential Candida Albicans inhibitors using 3D-QSAR, molecular docking, molecular dynamics simulations, and ADMET profiling, Molecular Diversity., 27 (2023) 2111–2132.
- [28] S. El Bahi, M. Boutalaka, M. Alaqarbeh, M.A. El Alaouy, Y. Koubi, K. El Khatabi, M. ’barek Choukrad, A. Sbai, M. Bouachrine, T. Lakhlifi, In-Silico Investigation of Osimertinib Based Compounds as Potential Double Mutant EGFR Kinase Inhibitors Against H1975 Cell Line: Integrating QSAR Modeling, Molecular Docking, MD Simulations, and ADME/Tox Studies, Chemistry Africa., (2023).
- [29] Y.-K. Jiang, Molecular docking and 3D-QSAR studies on β-phenylalanine derivatives as dipeptidyl peptidase IV inhibitors, Journal of Molecular Modeling., 16 (2010) 1239–1249.
- [30] Y. Liu, M. Grimm, W. Dai, M. Hou, Z.-X. Xiao, Y. Cao, CB-Dock: a web server for cavity detection-guided protein–ligand blind docking, Acta Pharmacologica Sinica., 41 (2020) 138–144.
- [31] W. Li, Y. Tang, Y.-L. Zheng, Z.-B. Qiu, Molecular modeling and 3D-QSAR studies of indolomorphinan derivatives as kappa opioid antagonists, Bioorganic & Medicinal Chemistry., 14 (2006) 601–610.
- [32] M.A. El Alaouy, S. El Bahi, M. Boutalaka, M. Ouabane, A. Sbai, H. Maghat, M. Bouachrine, T. Lakhlifi, Organic compounds based on 1-(prop-2-yn-1-ylamino)-2,3-dihydro-1H-indene-4-thiol as selective human monoamine oxidase B inhibitors Quantitative analysis of structure-activity relationships and in-silico investigations, Moroccan Journal of Chemistry, Vol. 11 (2023) Mor. J. Chem. 11 N°3 (2023) 802-817 Pages.
- [33] M. Stitou, H. Toufik, M. Bouachrine, F. Lamchouri, Quantitative structure–activity relationships analysis, homology modeling, docking and molecular dynamics studies of triterpenoid saponins as Kirsten rat sarcoma inhibitors, Journal of Biomolecular Structure and Dynamics., 39 (2021) 152–170.
- [34] H. Zhao, D. Wei, M. Li, Y. Du, Substituent contribution to the genotoxicity of benzophenone-type UV filters, Ecotoxicology and Environmental Safety., 95 (2013) 241–246.
- [35] S. Elbahi, Y. Koubi, M. Boutalaka, H. Hajji, M. Chokrad, M.A. Ajana, T. Lakhlifi, The c-Src kinase inhibitors: 2D-QSAR study by Multiple Linear Regression method, RHAZES: Green and Applied Chemistry., (2021) 29-42 Pages.
- [36] E. Edache, A. Uzai̇Ru, P.A. Mamza, G.A. Shallangwa, Molecular phylogeny, Sequence-based drug design, Docking built virtual screening, dynamics simulations, and ADMET properties of thiazolino 2-pyridone amide derivatives as an inhibitor of Chlamydia trachomatis and SARS-CoV-2 protein, Turkish Computational and Theoretical Chemistry., 8 (2024) 10–39.
- [37] A. Savi̇Our, G.A. Shallangwa, A. Uzai̇Ru, In Silico study for investigating and predicting the activities of 7-Hydroxy-1,3-dioxo-2,3-dihydro-1H-pyrrolo[3,4-c]pyridine-4-carboxylate Derivatives as Potent Anti-HIV Agents, Turkish Computational and Theoretical Chemistry., 4 (2020) 49–58.
- [38] Y. Hasan, A. Al-hamashi, Identification of Selisistat Derivatives as SIRT1-3 Inhibitors by in Silico Virtual Screening, Turkish Computational and Theoretical Chemistry., 8 (2024) 1–11.
- [39] İ. Momohji̇Moh Ovaku, A. Stephehe Eyi̇Je, S. Gi̇Deon Adamu, U. Adamu, QSAR and Molecular Docking Studies of novel thiophene, pyrimidine, coumarin, pyrazole and pyridine derivatives as Potential Anti-Breast Cancer Agent, Turkish Computational and Theoretical Chemistry., 4 (2020) 12–23.
- [40] S. Elijah, S. Uba, A. Uzairu, MULTIVARIANT QSAR MODEL FOR SOME POTENT COMPOUNDS AS POTENTIAL ANTI-TUMOR INHIBITORS: A COMPUTATIONAL APPROACH, Turkish Computational and Theoretical Chemistry., 3 (2019) 38–46.
- [41] J. Shi, L.-X. Zhao, J.-Y. Wang, T. Ye, M. Wang, S. Gao, F. Ye, Y. Fu, The novel 4-hydroxyphenylpyruvate dioxygenase inhibitors in vivo and in silico approach: 3D-QSAR analysis, molecular docking, bioassay and molecular dynamics, Arabian Journal of Chemistry., 15 (2022) 103919.
- [42] L. Dahiya, M.K. Mahapatra, R. Kaur, V. Kumar, M. Kumar, Validation of TZD Scaffold as Potential ARIs: Pharmacophore Modeling, Atom-based 3D QSAR and Docking Studies, Combinatorial Chemistry & High Throughput Screening., 20 (2017).
- [43] M. Rehan, O.S. Bajouh, Virtual screening of naphthoquinone analogs for potent inhibitors against the cancer‐signaling PI3K/AKT/mTOR pathway, Journal of Cellular Biochemistry., 120 (2019) 1328–1339.
- [44] M.A.E. Alaouy, M. Alaqarbeh, S.E. Bahi, M. Boutalaka, S. Esslali, A. Sbai, H. Maghat, F. Guenoun, M. Choukrad, T. Lakhlifi, M. Bouachrine, Computational Prediction of Spiropyrazoline Derivatives as Potential Acetylcholinesterase Inhibitors for Alzheimer’s Disease Treatment, Russian Journal of Bioorganic Chemistry., 50 (2024) 1016–1036.
- [45] O. Trott, A.J. Olson, AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading, Journal of Computational Chemistry., 31 (2010) 455–461.
- [46] M. De Vivo, M. Masetti, G. Bottegoni, A. Cavalli, Role of Molecular Dynamics and Related Methods in Drug Discovery, Journal of Medicinal Chemistry., 59 (2016) 4035–4061.
- [47] D. Secci, S. Carradori, B. Bizzarri, P. Chimenti, C. De Monte, A. Mollica, D. Rivanera, A. Zicari, E. Mari, G. Zengin, A. Aktumsek, Novel 1,3-thiazolidin-4-one derivatives as promising anti- Candida agents endowed with anti-oxidant and chelating properties, European Journal of Medicinal Chemistry., 117 (2016) 144–156.
- [48] B. Rosada, A. Bekier, J. Cytarska, W. Płaziński, O. Zavyalova, A. Sikora, K. Dzitko, K.Z. Łączkowski, Benzo[b]thiophene-thiazoles as potent anti-Toxoplasma gondii agents: Design, synthesis, tyrosinase/tyrosine hydroxylase inhibitors, molecular docking study, and antioxidant activity, European Journal of Medicinal Chemistry., 184 (2019) 111765.
- [49] S.J. Ansari, S. Kundu, S. Mogurampelly, Molecular dynamics simulations of the effect of starch on transport of water and ions through graphene nanopores, Journal of Molecular Modeling., 30 (2024) 125.
- [50] Z. Lou, C. Cheng, Y. Cui, H. Tian, Interfacial interaction–driven rheological properties of quartz nanofluids from molecular dynamics simulations and density functional theory calculations, Journal of Molecular Modeling., 28 (2022) 189.
- [51] P.F.J. Lipiński, M. Jarończyk, J.Cz. Dobrowolski, J. Sadlej, Molecular dynamics of fentanyl bound to μ-opioid receptor, Journal of Molecular Modeling., 25 (2019) 144.
Computational Study of Potential MAO-B Inhibitors Based on 4-(3-Nitrophenyl) Thiazol-2-ylhydrazone.
Year 2025,
, 129 - 156, 05.01.2025
Moulay Ahfid El Alaouy
,
Marwa Alaqarbeh
,
Mohamed Ouabane
,
Abdelouahid Sbai
,
Tahar Lakhlıfı
,
Mohammed Bouachrıne
Abstract
This study used a dataset comprising thirty-four derivatives of 4-(3-nitrophenyl) thiazol-2-ylhydrazone as selective monoamine oxidase B (h-MAO-B) inhibitors to design more effective h-MAO-B inhibitors. This was achieved by applying molecular modeling methods. Among the different field models examined, the CoMSIA/SEA model emerged as the most effective, compared to the other models (Q^2 = 0.60; R2 = 0.97; R^2test = 0.711; F = 151.84; SEE = 0.21; ONC = 4). Contour maps helped identify structural features important for inhibitory activity, leading to the design of four highly active inhibitors. The study explored the interaction between the new compounds (M1, M2, M3, and M4) and the most active molecule, No.3, using molecular docking simulations. This process revealed a positive interaction characterized by the formation of significant bonds with key protein residues such as Arg:42, Glu:58, Met:436, Tyr:398, Tyr:435, and Tyr:60. The ADMET properties of the predicted molecules (M1-M4) were generally favorable, except for molecule No.3, which retained its toxicity. Both M1 and the most active compound 3 underwent 100 ns molecular dynamics simulations, The results of these simulations indicate that the proposed molecule, M1, exhibits a slightly higher structural stability compared to the most active compound, 3. This positions M1 as a promising candidate for further studies. A retrosynthesis strategy was employed to efficiently plan the synthesis of molecule M1 as a potential MAO-B inhibitor, identifying the key steps and precursors required for its realization.
Ethical Statement
We, the undersigned, declare that this manuscript is original, has not been published before, and is not currently being considered for publication elsewhere.
We confirm that the manuscript has been read and approved by all named authors and that there are no other persons who satisfied the criteria for authorship but are not listed. We further confirm that all have approved the order of authors listed in the manuscript.
We understand that the Corresponding Author is the sole contact for the Editorial process.
He/she is responsible for communicating with the other authors about progress, submissions of revisions, and final approval of proofs
Supporting Institution
NA
References
- [1] N. Özdemir, M. Dinçer, A. Çukurovalı, O. Büyükgüngör, Experimental and theoretical investigation of the molecular and electronic structure of 5-(4-aminophenyl)-4-(3-methyl-3-phenylcyclobutyl)thiazol-2-amine, Journal of Molecular Modeling., 15 (2009) 1435–1445.
- [2] J. Jose, J.K. Varughese, M.K. Parvez, T.V. Mathew, Probing the inhibition of MAO-B by chalcones: an integrated approach combining molecular docking, ADME analysis, MD simulation, and MM-PBSA calculations, Journal of Molecular Modeling., 30 (2024) 103.
- [3] V.L. Tananta, E.V. Costa, Y.S. Mary, Y.S. Mary, J. S.Al-Otaibi, R.A. Costa, DFT, ADME studies and evaluation of the binding with HSA and MAO-B inhibitory potential of protoberberine alkaloids from Guatteria friesiana: theoretical insights of promising candidates for the treatment of Parkinson’s disease, Journal of Molecular Modeling., 29 (2023) 353.
- [4] F.P. Moraes, W.F. De Azevedo, Targeting imidazoline site on monoamine oxidase B through molecular docking simulations, Journal of Molecular Modeling., 18 (2012) 3877–3886.
- [5] M. D’Ascenzio, P. Chimenti, M.C. Gidaro, C. De Monte, D. De Vita, A. Granese, L. Scipione, R. Di Santo, G. Costa, S. Alcaro, M. Yáñez, S. Carradori, (Thiazol-2-yl)hydrazone derivatives from acetylpyridines as dual inhibitors of MAO and AChE: synthesis, biological evaluation and molecular modeling studies, Journal of Enzyme Inhibition and Medicinal Chemistry, 30 (2015) 908–919.
- [6] Y.-Q. Zhu, J.-F. Pei, Z.-M. Liu, L.-H. Lai, J.-R. Cui, R.-T. Li, 3D-QSAR studies on tripeptide aldehyde inhibitors of proteasome using CoMFA and CoMSIA methods, Bioorganic & Medicinal Chemistry., 14 (2006) 1483–1496.
- [7] D. Secci, S. Carradori, A. Petzer, P. Guglielmi, M. D’Ascenzio, P. Chimenti, D. Bagetta, S. Alcaro, G. Zengin, J.P. Petzer, F. Ortuso, 4-(3-Nitrophenyl)thiazol-2-ylhydrazone derivatives as antioxidants and selective hMAO-B inhibitors: synthesis, biological activity and computational analysis, Journal of Enzyme Inhibition and Medicinal Chemistry., 34 (2019) 597–612.
- [8] T.R. Anderson, T.A. Slotkin, Maturation of the adrenal medulla--IV Effects of morphine, Biochemical Pharmacology., 24 (1975) 1469–1474.
- [9] A. Shibu, S. Jones, P.L. Tolley, D. Diaz, C.O. Kwiatkowski, D.S. Jones, J.M. Shivas, J.J. Foley, T.A. Schmedake, M.G. Walter, Correlating structure and photophysical properties in thiazolo[5,4- d ]thiazole crystal derivatives for use in solid-state photonic and fluorescence-based optical devices, Materials Advances., 4 (2023) 6321–6332.
- [10] K. Ravi Singh, T.N. Lohith, T. Ananth Nag, M.A. Sridhar, M.P. Sadashiva, Structure property relationship in two thiazole derivatives: Insights of crystal structure, Hirshfeld surface, DFT, QTAIM, NBO and molecular docking studies, Molecular Crystals and Liquid Crystals., 763 (2023) 54–72.
- [11] H. Hadni, M. Elhallaoui, 3D-QSAR, docking and ADMET properties of aurone analogues as antimalarial agents, Heliyon, 6 (2020) e03580.
- [12] M.A. El Alaouy, M. Alaqarbeh, M. Ouabane, H. Zaki, M. ElBouhi, H. Badaoui, Y. Moukhliss, A. Sbai, H. Maghat, T. Lakhlifi, M. Bouachrine, Computational Prediction of 3,5-Diaryl-1H-Pyrazole and spiropyrazolines derivatives as potential acetylcholinesterase inhibitors for alzheimer disease treatment by 3D-QSAR, molecular docking, molecular dynamics simulation, and ADME-Tox, Journal of Biomolecular Structure and Dynamics., (2023) 1–14.
- [13] D. Secci, S. Carradori, A. Petzer, P. Guglielmi, M. D’Ascenzio, P. Chimenti, D. Bagetta, S. Alcaro, G. Zengin, J.P. Petzer, F. Ortuso, 4-(3-Nitrophenyl)thiazol-2-ylhydrazone derivatives as antioxidants and selective hMAO-B inhibitors: synthesis, biological activity and computational analysis, Journal of Enzyme Inhibition and Medicinal Chemistry., 34 (2019) 597–612.
- [14] Y. Wang, F. Bai, H. Cao, J. Li, H. Liu, P. Gramatica, A Combined Quantitative Structure-Activity Relationship Research of Quinolinone Derivatives as Androgen Receptor Antagonists, Combinatorial Chemistry & High Throughput Screening., 18 (2015) 834–845.
- [15] C. Hansch, A. Kurup, R. Garg, H. Gao, Chem-Bioinformatics and QSAR: A Review of QSAR Lacking Positive Hydrophobic Terms, Chemical Reviews., 101 (2001) 619–672.
- [16] M. Shahlaei, A. Fassihi, L. Saghaie, E. Arkan, A. Madadkar-Sobhani, A. Pourhossein, Computational evaluation of some indenopyrazole derivatives as anticancer compounds; application of QSAR and docking methodologies, Journal of Enzyme Inhibition and Medicinal Chemistry., 28 (2013) 16–32.
- [17] M. Boutalaka, S. El Bahi, M. Alaqarbeh, M.A. El Alaouy, Y. Koubi, K.E. Khatabi, H. Maghat, M. Bouachrine, T. Lakhlifi, Computational investigation of imidazo[2,1-b]oxazole derivatives as potential mutant BRAF kinase inhibitors: 3D-QSAR, molecular docking, molecular dynamics simulation, and ADMETox studies, Journal of Biomolecular Structure and Dynamics., (2023) 1–20.
- [18] S. El Bahi, M. Boutalaka, M.A. El Alaouy, S. Bouamrane, M. Alaqarbeh, M. Choukrad, A. Sbai, M. Bouachrine, T. Lakhlifi, Computational investigation of novel pyrimidine derivatives as potent FAK inhibitors via 3D-QSAR, molecular docking, molecular dynamics simulation and retrosynthesis, New Journal of Chemistry., 47 (2023) 12816–12829.
- [19] K. Tabti, S. Baammi, L. ElMchichi, A. Sbai, H. Maghat, M. Bouachrine, T. Lakhlifi, Computational investigation of pyrrolidin derivatives as novel GPX4/MDM2–p53 inhibitors using 2D/3D-QSAR, ADME/toxicity, molecular docking, molecular dynamics simulations, and MM-GBSA free energy, Journal of Structural Chemistry., 33 (2022) 1019–1039.
- [20] H.T.T. Lai, L.H. Nguyen, A.D. Phan, A. Kranjc, T.T. Nguyen, D. Nguyen-Manh, A comparative study of receptor interactions between SARS-CoV and SARS-CoV-2 from molecular modeling, Journal of Molecular Modeling., 28 (2022) 305.
- [21] M.A. El Alaouy, M. Alaqarbeh, M. Ouabane, H. Zaki, M. ElBouhi, H. Badaoui, Y. Moukhliss, A. Sbai, H. Maghat, T. Lakhlifi, M. Bouachrine, Computational Prediction of 3,5-Diaryl-1H-Pyrazole and spiropyrazolines derivatives as potential acetylcholinesterase inhibitors for alzheimer disease treatment by 3D-QSAR, molecular docking, molecular dynamics simulation, and ADME-Tox, Journal of Biomolecular Structure and Dynamics., (2023) 1–14.
- [22] R. Mahmoudzadeh Laki, E. Pourbasheer, 3D-QSAR Modeling on 2-Pyrimidine Carbohydrazides as Utrophin Modulators for the Treatment of Duchenne Muscular Dystrophy by Combining CoMFA, CoMSIA, and Molecular Docking Studies, ACS Omega Journal, 9 (2024) 24707–24720.
- [23] K.A. Saad, M.A. Eldawy, K.M. Elokely, Studies of the symmetric binding mode of daclatasvir and analogs using a new homology model of HCV NS5A GT-4a, Journal of Molecular Modeling., 29 (2023) 25.
- [24] S. Carradori, F. Ortuso, A. Petzer, D. Bagetta, C. De Monte, D. Secci, D. De Vita, P. Guglielmi, G. Zengin, A. Aktumsek, S. Alcaro, J.P. Petzer, Design, synthesis and biochemical evaluation of novel multi-target inhibitors as potential anti-Parkinson agents, European Journal of Medicinal Chemistry., 143 (2018) 1543–1552.
- [25] X. Chai, J. Zhang, H. Hu, S. Yu, Q. Sun, Z. Dan, Y. Jiang, Q. Wu, Design, synthesis, and biological evaluation of novel triazole derivatives as inhibitors of cytochrome P450 14α-demethylase, European Journal of Medicinal Chemistry., 44 (2009) 1913–1920.
- [26] L. El Mchichi, A. El Aissouq, R. Kasmi, A. Belhassan, R. El-Mernissi, A. Ouammou, T. Lakhlifi, M. Bouachrine, In silico design of novel Pyrazole derivatives containing thiourea skeleton as anti-cancer agents using: 3D QSAR, Drug-Likeness studies, ADMET prediction and molecular docking, Mater. Materials Today: Proceedings., 45 (2021) 7661–7674.
- [27] S. Bouamrane, A. Khaldan, H. Hajji, R. El-mernissi, M. Alaqarbeh, N. Alsakhen, H. Maghat, M.A. Ajana, A. Sbai, M. Bouachrine, T. Lakhlifi, In silico identification of 1,2,4-triazoles as potential Candida Albicans inhibitors using 3D-QSAR, molecular docking, molecular dynamics simulations, and ADMET profiling, Molecular Diversity., 27 (2023) 2111–2132.
- [28] S. El Bahi, M. Boutalaka, M. Alaqarbeh, M.A. El Alaouy, Y. Koubi, K. El Khatabi, M. ’barek Choukrad, A. Sbai, M. Bouachrine, T. Lakhlifi, In-Silico Investigation of Osimertinib Based Compounds as Potential Double Mutant EGFR Kinase Inhibitors Against H1975 Cell Line: Integrating QSAR Modeling, Molecular Docking, MD Simulations, and ADME/Tox Studies, Chemistry Africa., (2023).
- [29] Y.-K. Jiang, Molecular docking and 3D-QSAR studies on β-phenylalanine derivatives as dipeptidyl peptidase IV inhibitors, Journal of Molecular Modeling., 16 (2010) 1239–1249.
- [30] Y. Liu, M. Grimm, W. Dai, M. Hou, Z.-X. Xiao, Y. Cao, CB-Dock: a web server for cavity detection-guided protein–ligand blind docking, Acta Pharmacologica Sinica., 41 (2020) 138–144.
- [31] W. Li, Y. Tang, Y.-L. Zheng, Z.-B. Qiu, Molecular modeling and 3D-QSAR studies of indolomorphinan derivatives as kappa opioid antagonists, Bioorganic & Medicinal Chemistry., 14 (2006) 601–610.
- [32] M.A. El Alaouy, S. El Bahi, M. Boutalaka, M. Ouabane, A. Sbai, H. Maghat, M. Bouachrine, T. Lakhlifi, Organic compounds based on 1-(prop-2-yn-1-ylamino)-2,3-dihydro-1H-indene-4-thiol as selective human monoamine oxidase B inhibitors Quantitative analysis of structure-activity relationships and in-silico investigations, Moroccan Journal of Chemistry, Vol. 11 (2023) Mor. J. Chem. 11 N°3 (2023) 802-817 Pages.
- [33] M. Stitou, H. Toufik, M. Bouachrine, F. Lamchouri, Quantitative structure–activity relationships analysis, homology modeling, docking and molecular dynamics studies of triterpenoid saponins as Kirsten rat sarcoma inhibitors, Journal of Biomolecular Structure and Dynamics., 39 (2021) 152–170.
- [34] H. Zhao, D. Wei, M. Li, Y. Du, Substituent contribution to the genotoxicity of benzophenone-type UV filters, Ecotoxicology and Environmental Safety., 95 (2013) 241–246.
- [35] S. Elbahi, Y. Koubi, M. Boutalaka, H. Hajji, M. Chokrad, M.A. Ajana, T. Lakhlifi, The c-Src kinase inhibitors: 2D-QSAR study by Multiple Linear Regression method, RHAZES: Green and Applied Chemistry., (2021) 29-42 Pages.
- [36] E. Edache, A. Uzai̇Ru, P.A. Mamza, G.A. Shallangwa, Molecular phylogeny, Sequence-based drug design, Docking built virtual screening, dynamics simulations, and ADMET properties of thiazolino 2-pyridone amide derivatives as an inhibitor of Chlamydia trachomatis and SARS-CoV-2 protein, Turkish Computational and Theoretical Chemistry., 8 (2024) 10–39.
- [37] A. Savi̇Our, G.A. Shallangwa, A. Uzai̇Ru, In Silico study for investigating and predicting the activities of 7-Hydroxy-1,3-dioxo-2,3-dihydro-1H-pyrrolo[3,4-c]pyridine-4-carboxylate Derivatives as Potent Anti-HIV Agents, Turkish Computational and Theoretical Chemistry., 4 (2020) 49–58.
- [38] Y. Hasan, A. Al-hamashi, Identification of Selisistat Derivatives as SIRT1-3 Inhibitors by in Silico Virtual Screening, Turkish Computational and Theoretical Chemistry., 8 (2024) 1–11.
- [39] İ. Momohji̇Moh Ovaku, A. Stephehe Eyi̇Je, S. Gi̇Deon Adamu, U. Adamu, QSAR and Molecular Docking Studies of novel thiophene, pyrimidine, coumarin, pyrazole and pyridine derivatives as Potential Anti-Breast Cancer Agent, Turkish Computational and Theoretical Chemistry., 4 (2020) 12–23.
- [40] S. Elijah, S. Uba, A. Uzairu, MULTIVARIANT QSAR MODEL FOR SOME POTENT COMPOUNDS AS POTENTIAL ANTI-TUMOR INHIBITORS: A COMPUTATIONAL APPROACH, Turkish Computational and Theoretical Chemistry., 3 (2019) 38–46.
- [41] J. Shi, L.-X. Zhao, J.-Y. Wang, T. Ye, M. Wang, S. Gao, F. Ye, Y. Fu, The novel 4-hydroxyphenylpyruvate dioxygenase inhibitors in vivo and in silico approach: 3D-QSAR analysis, molecular docking, bioassay and molecular dynamics, Arabian Journal of Chemistry., 15 (2022) 103919.
- [42] L. Dahiya, M.K. Mahapatra, R. Kaur, V. Kumar, M. Kumar, Validation of TZD Scaffold as Potential ARIs: Pharmacophore Modeling, Atom-based 3D QSAR and Docking Studies, Combinatorial Chemistry & High Throughput Screening., 20 (2017).
- [43] M. Rehan, O.S. Bajouh, Virtual screening of naphthoquinone analogs for potent inhibitors against the cancer‐signaling PI3K/AKT/mTOR pathway, Journal of Cellular Biochemistry., 120 (2019) 1328–1339.
- [44] M.A.E. Alaouy, M. Alaqarbeh, S.E. Bahi, M. Boutalaka, S. Esslali, A. Sbai, H. Maghat, F. Guenoun, M. Choukrad, T. Lakhlifi, M. Bouachrine, Computational Prediction of Spiropyrazoline Derivatives as Potential Acetylcholinesterase Inhibitors for Alzheimer’s Disease Treatment, Russian Journal of Bioorganic Chemistry., 50 (2024) 1016–1036.
- [45] O. Trott, A.J. Olson, AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading, Journal of Computational Chemistry., 31 (2010) 455–461.
- [46] M. De Vivo, M. Masetti, G. Bottegoni, A. Cavalli, Role of Molecular Dynamics and Related Methods in Drug Discovery, Journal of Medicinal Chemistry., 59 (2016) 4035–4061.
- [47] D. Secci, S. Carradori, B. Bizzarri, P. Chimenti, C. De Monte, A. Mollica, D. Rivanera, A. Zicari, E. Mari, G. Zengin, A. Aktumsek, Novel 1,3-thiazolidin-4-one derivatives as promising anti- Candida agents endowed with anti-oxidant and chelating properties, European Journal of Medicinal Chemistry., 117 (2016) 144–156.
- [48] B. Rosada, A. Bekier, J. Cytarska, W. Płaziński, O. Zavyalova, A. Sikora, K. Dzitko, K.Z. Łączkowski, Benzo[b]thiophene-thiazoles as potent anti-Toxoplasma gondii agents: Design, synthesis, tyrosinase/tyrosine hydroxylase inhibitors, molecular docking study, and antioxidant activity, European Journal of Medicinal Chemistry., 184 (2019) 111765.
- [49] S.J. Ansari, S. Kundu, S. Mogurampelly, Molecular dynamics simulations of the effect of starch on transport of water and ions through graphene nanopores, Journal of Molecular Modeling., 30 (2024) 125.
- [50] Z. Lou, C. Cheng, Y. Cui, H. Tian, Interfacial interaction–driven rheological properties of quartz nanofluids from molecular dynamics simulations and density functional theory calculations, Journal of Molecular Modeling., 28 (2022) 189.
- [51] P.F.J. Lipiński, M. Jarończyk, J.Cz. Dobrowolski, J. Sadlej, Molecular dynamics of fentanyl bound to μ-opioid receptor, Journal of Molecular Modeling., 25 (2019) 144.