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[14] F.I. Ahmadi, R. Fathollahi, D. Dastan, Phytochemical constituents and biological properties of Scutellaria condensata subsp. Pycnotricha, Iran. Chem. Commun.. 2020, 8, 201-211. [Google Scholar], [Publisher] [15] A.J. Uttu, M.S. Sallau, O.R.A. Iyun, H. Ibrahim, Antimicrobial efficacy of selected strychnos species: a mini review, J. Chem. Rev., 2022, 4, 59-62. [Crossref], [Google Scholar], [Publisher] [16] P. Riwanti, M.S. Arifin, F.A. Muslikh, D. Amalia, I. Abada, A.P. Aditama, B. Ma’arif, Effect of chrysophyllum cainito L. leaves on bone formation in vivo and in silico, Trop. J. Nat. Prod. Res., 2021, 5, 260-264. [Crossref], [Google Scholar], [Publisher] [17] F.A. Muslikh, R.R. Samudra, B. Ma’arif, Z.S. Ulhaq, S. Hardjono, M. Agil, In silico molecular docking and ADMET analysis for drug development of phytoestrogens compound with its evaluation of neurodegenerative diseases, Borneo J. Pharm., 2022, 5, 357-366. [Crossref], [Google Scholar], [Publisher] [18] F.A. Muslikh, R.R. Pratama, M.E. Gondokesumo, Senyawa fitoestrogen untuk potensi terapi penyakit neurodegeneratif terhadap reseptor TLR2: pendekatan in silico, J. Kesehat. Nas., 2023, 12, 17-24. [Crossref], [Google Scholar], [Publisher] [19] B. Ma'arif, F.A. Muslikh, W. Anggraini, M.M. Taek, H. Laswati, M. Agil, In vitro anti-neuroinflammatory effect of genistein (4', 5, 7-trihydroxyisoflavone) on microglia HMC3 cell line, and in silico evaluation of its interaction with estrogen receptor-β, Int. J. Appl. Pharm., 2021, 13, 183-187. [Crossref], [Google Scholar], [Publisher] [20] B. Ma'arif, D.A.P. Fihuda, F.A. Muslikh, S. Syarifuddin, B. Fauziyah, D.P. Sari, M. Agil,Studi in silico penghambatan aktivasi TLR2 ekstrak etanol daun semanggi (Marsilea crenata Presl.), Jurnal Tumbuhan Obat Indonesia, 2022, 15, 31-40. [Crossref], [Google Scholar], [Publisher]
[21] G. Sliwoski, S. Kothiwale, J. Meiler, E.W. Lowe, Computational methods in drug discovery, Pharmacol. Rev., 2014, 66, 334-395. [Crossref], [Google Scholar], [Publisher] [22] F.A. Muslikh, R.R. Samudra, B. Ma'arif, Prediksi Senyawa Fraksi Etil Asetat Daun Semanggi (Marsilea crenata Presl.) Sebagai Agen Antineuroinflamasi (agonis ERα), JIKSN: Jurnal Ilmu Kesehatan dan Sains Nusantara, 2023, 1, 10-21. [Google Scholar], [Publisher] [23] B. Ma'arif, M. Aminullah, N.L. Saidah, F.A. Muslikh, A. Rahmawati, Y.Y.A. Indrawijaya, Y.A. Yen, D.P. Sari, M.M. Sari, Prediction of antiosteoporosis activity of thirty-nine phytoestrogen compounds in estrogen receptor-dependent manner through in silico approach, Trop. J. Nat. Prod. Res., 2021, 5, 1727-1734. [Crossref], [Google Scholar], [Publisher] [24] R.R Pratama, Andika, S. Nashihah, Studi penambatan molekuler senyawa flavonoid daun jambu biji (Psidium guajava L.) terhadap Sars-Cov-2 3cl Protease, Medical Sains: Jurnal Ilmiah Kefarmasian, 2021, 6, 9-24. [Crossref], [Google Scholar], [Publisher] [25] B. Ma’arif, F.A. Muslikh, L.A. Najib, R.R.D. Atmaja, M.R. Dianti, In silico antiosteoporosis activity of 96% ethanol extract of chrysophyllum cainito L. leaves, In Proceedings of International Pharmacy Ulul Albab Conference and Seminar (PLANAR), 2021, 1, 61-66). [Crossref], [Google Scholar], [Publisher] [26] C.S. Odoemelam, E. Hunter, J. Simms, Z. Ahmad, M.W. Chang, B. Percival, I.H. Williams, M. Molinari, S.C.L. Kamerlin, P.B. Wilson, In silico ligand docking approaches to characterise the binding of known allosteric modulators to the glucagon-like peptide 1 receptor and prediction of ADME/Tox properties, Appl. Biosci., 2022, 1, 143-162. [Crossref], [Google Scholar], [Publisher] [27] E. Lukitaningsih, A. Wisnusaputra, B.A. Sudarmanto, Scrining in silico active compound of Pachyrrhizus erosus as antitirosinase on Aspergillus oryzae (computattional study with homology modeling and molecular docking), Majalah Obat Tradisional, 2009, 20, 7-15. [Crossref], [Google Scholar], [Publisher] [28] F. Az-Zahra, J. Afidika, S.D. Diamantha, A.E. Rahmani, S. Fatimah, D.L. Aulifa, B.D. Sitinjak, Studi in silico senyawa dalam daun sirih (Piper betle L.) sebagai inhibitor enzim asetilkolinesterase (AChE) pada Penyakit Alzheimer, Indones. J. Pharm., 2022, 2, 44-58. [Crossref], [Google Scholar], [Publisher] [29] F.A. Muslikh, R.R. Pratama, B. Ma'arif, N. Purwitasari, Studi in silico senyawa flavonoid dalam mengambat RNA-dependent RNA polymerase (RdRp) sebagai Antivirus COVID-19, J. Islam. Pharm., 2023, 8, 49-55. [Crossref], [Google Scholar], [Publisher] [30] J.A. Hidayatullah, A.P. Widiyana, D.S. Damayanti, Studi in silico: analisis potensi kacang merah (Phaseolus vulgaris) sebagai anti-Alzheimer dengan aktivasi alfa sekretase dan penghambatan beta secretase, Jurnal Bio Komplementer Medicine, 2022, 9. [Google Scholar], [Publisher] [31] B. Ma'arif, F.A. Muslikh, D. Amalia, A. Mahardiani, L.A Muchlasi, P. Riwanti, M.M. Taek, H.Laswati, M. Agil, Metabolite profiling of the environmental-controlled growth of Marsilea crenata Presl. and its in vitro and In silico antineuroinflammatory properties, Borneo J. Pharm., 2022, 5, 209-228 [Crossref], [Google Scholar], [Publisher] [32] B. Ma’arif, R.R. Samudra, F.A. Muslikh, T.J.D. Dewi, L.A. Muchlasi, Antineuroinflammatory properties of compounds from ethyl acetate fraction of Marsilea crenata C. Presl. against toll-like receptor 2 (3A7B) in silico, In Proceedings of International Pharmacy Ulul Albab Conference and Seminar (PLANAR), 2022, 2, 8-20. [Crossref], [Google Scholar], [Publisher] [33] C.A. Lipinski, F. Lombardo, B.W. Dominy, P.J. Feeney, Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings, Adv. Drug Deliv. Rev., 1997, 23, 3-25. [Crossref], [Google Scholar], [Publisher] [34] B. Ma'arif, F.A. Muslikh, D.A.P. Fihuda, S. Syarifuddin, B. Fauziyah, Prediction of compounds from 96% Ethanol Extract of Marsilea crenata Presl. leaves in increasing estrogen receptor-α activation, In Proceedings of International Pharmacy Ulul Albab Conference and Seminar (PLANAR), 2021, 1, 67-76. [Crossref], [Google Scholar], [Publisher] [35] D.E. Pires, T.L. Blundell, D.B. Ascher, pkCSM: predicting small-molecule pharmacokinetic and toxicity properties using graph-based signatures, J. Med. Chem., 2015, 58, 4066-4072. [Crossref], [Google Scholar], [Publisher] [36] M.B. Youdim, D. Edmondson, K.F. Tipton, The therapeutic potential of monoamine oxidase inhibitors, Nat. Rev. Neurosci., 2006, 7, 295-309. [Crossref], [Google Scholar], [Publisher] [37] A.C. Tripathi, S. Upadhyay, S. Paliwal, S.K. Saraf, Privileged scaffolds as MAO inhibitors: Retrospect and prospects, Eur. J. Med. Chem., 2018, 145, 445-497. [Crossref], [Google Scholar], [Publisher] [38] T. Behl, D. Kaur, A. Sehgal, S. Singh, N. Sharma, G. Zengin, F.L. Andronie-Cioara, M.M. Toma, S. Bungau, A.G. Bumbu, Role of monoamine oxidase activity in Alzheimer’s disease: an insight into the therapeutic potential of inhibitors, Molecules, 2021, 26, 3724. [Crossref], [Google Scholar], [Publisher] [39] F. Ekström, A. Gottinger, N. Forsgren, M. Catto, L.G. Iacovino, L. Pisani, C. Binda, Dual reversible coumarin inhibitors mutually bound to monoamine oxidase B and acetylcholinesterase crystal structures, ACS Med. Chem. Lett., 2022, 13, 499-506. [Crossref], [Google Scholar], [Publisher] [40] W. Liu, Y. Wang, M.B. Youdim, A novel neuroprotective cholinesterase-monoamine oxidase inhibitor for treatment of dementia and depression in Parkinson’s disease, Ageing Neur. Dis., 2022, 2, [Crossref], [Google Scholar], [Publisher] [41] O.M. Bautista-Aguilera, G. Esteban, M. Chioua, K. Nikolic, D. Agbaba, I. Moraleda, I. Iriepa, E. Soriano, A. Samadi, M. Unzeta, José Marco-Contelles, Multipotent cholinesterase/monoamine oxidase inhibitors for the treatment of Alzheimer’s disease: design, synthesis, biochemical evaluation, ADMET, molecular modeling, and QSAR analysis of novel donepezil-pyridyl hybrids, Drug Des. Devel. Ther., 2014, 1893-1910. [Crossref], [Google Scholar], [Publisher] [42] N. Vaou, E. Stavropoulou, C. Voidarou, Z. Tsakris, G. Rozos, C. Tsigalou, E. Bezirtzoglou, Interactions between medical plant-derived bioactive compounds: Focus on antimicrobial combination effects, Antibiotics, 2022, 11, 1014. [Crossref], [Google Scholar], [Publisher]
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