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For: Jabir NR, Shakil S, Tabrez S, Khan MS, Rehman MT, Ahmed BA. In silico screening of glycogen synthase kinase-3β targeted ligands against acetylcholinesterase and its probable relevance to Alzheimer's disease. J Biomol Struct Dyn 2021;39:5083-92. [PMID: 32588759 DOI: 10.1080/07391102.2020.1784796] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 7.5] [Reference Citation Analysis]
Number Citing Articles
1 Hoque M, Samanta A, Alam SSM, Zughaibi TA, Kamal MA, Tabrez S. Nanomedicine-based immunotherapy for Alzheimer's Disease. Neuroscience & Biobehavioral Reviews 2022. [DOI: 10.1016/j.neubiorev.2022.104973] [Reference Citation Analysis]
2 Oliyaei N, Moosavi-nasab M, Tanideh N, Iraji A. Multiple roles of fucoxanthin and astaxanthin against Alzheimer's disease: Their pharmacological potential and therapeutic insights. Brain Research Bulletin 2022. [DOI: 10.1016/j.brainresbull.2022.11.018] [Reference Citation Analysis]
3 Muteeb G, Rehman MT, Alajmi MF, Aatif M, Farhan M, Shafi S. Identification of a Potential Inhibitor (MCULE-8777613195-0-12) of New Delhi Metallo-β-Lactamase-1 (NDM-1) Using In Silico and In Vitro Approaches. Molecules 2022;27:5930. [DOI: 10.3390/molecules27185930] [Reference Citation Analysis]
4 Tabrez S, Hoque M, Suhail M, Khan MI, Zughaibi TA, Khan AU. Identification of anticancer bioactive compounds derived from Ficus sp. by targeting Poly[ADP-ribose]polymerase 1 (PARP-1). Journal of King Saud University - Science 2022;34:102079. [DOI: 10.1016/j.jksus.2022.102079] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
5 García Marín ID, Camarillo López RH, Martínez OA, Padilla-martínez II, Correa-basurto J, Rosales-hernández MC. New compounds from heterocyclic amines scaffold with multitarget inhibitory activity on Aβ aggregation, AChE, and BACE1 in the Alzheimer disease. PLoS ONE 2022;17:e0269129. [DOI: 10.1371/journal.pone.0269129] [Reference Citation Analysis]
6 Abuzenadah AM, Al-Sayes F, Mahafujul Alam SS, Hoque M, Karim S, Hussain IMR, Tabrez S. Identification of Potential Poly (ADP-Ribose) Polymerase-1 Inhibitors Derived from Rauwolfia serpentina: Possible Implication in Cancer Therapy. Evid Based Complement Alternat Med 2022;2022:3787162. [PMID: 35368755 DOI: 10.1155/2022/3787162] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
7 Abuzenadah AM, Al-Sayes F, Mahafujul Alam SS, Hoque M, Karim S, Hussain IMR, Tabrez S. Elucidating Antiangiogenic Potential of Rauwolfia serpentina: VEGFR-2 Targeting-Based Molecular Docking Study. Evid Based Complement Alternat Med 2022;2022:6224666. [PMID: 35198035 DOI: 10.1155/2022/6224666] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
8 Falade AO, Adewole KE, Ishola AA, Gyebi GA, Olajide NR. Computational studies on the cholinesterase, beta-secretase 1 (BACE1) and monoamine oxidase (MAO) inhibitory activities of endophytes-derived compounds: towards discovery of novel neurotherapeutics. J Biomol Struct Dyn 2022;:1-15. [PMID: 35118932 DOI: 10.1080/07391102.2022.2035255] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Muteeb G, Alsultan A, Aatif M. Abyssomicin W and Neoabyssomicin B are potential inhibitors of New Delhi Metallo-β-Lactamase-1 (NDM -1): A computational approach. Phcog Mag 2022;0:0. [DOI: 10.4103/pm.pm_195_22] [Reference Citation Analysis]
10 Iqbal D, Khan MS, Waiz M, Rehman MT, Alaidarous M, Jamal A, Alothaim AS, AlAjmi MF, Alshehri BM, Banawas S, Alsaweed M, Madkhali Y, Algarni A, Alsagaby SA, Alturaiki W. Exploring the Binding Pattern of Geraniol with Acetylcholinesterase through In Silico Docking, Molecular Dynamics Simulation, and In Vitro Enzyme Inhibition Kinetics Studies. Cells 2021;10:3533. [PMID: 34944045 DOI: 10.3390/cells10123533] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
11 Jabir NR, Rehman MT, Alsolami K, Shakil S, Zughaibi TA, Alserihi RF, Khan MS, AlAjmi MF, Tabrez S. Concatenation of molecular docking and molecular simulation of BACE-1, γ-secretase targeted ligands: in pursuit of Alzheimer's treatment. Ann Med 2021;53:2332-44. [PMID: 34889159 DOI: 10.1080/07853890.2021.2009124] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 8.0] [Reference Citation Analysis]
12 Iqbal D, Rehman MT, Bin Dukhyil A, Rizvi SMD, Al Ajmi MF, Alshehri BM, Banawas S, Khan MS, Alturaiki W, Alsaweed M. High-Throughput Screening and Molecular Dynamics Simulation of Natural Product-like Compounds against Alzheimer's Disease through Multitarget Approach. Pharmaceuticals (Basel) 2021;14:937. [PMID: 34577637 DOI: 10.3390/ph14090937] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 11.0] [Reference Citation Analysis]
13 Sabe VT, Ntombela T, Jhamba LA, Maguire GEM, Govender T, Naicker T, Kruger HG. Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review. Eur J Med Chem 2021;224:113705. [PMID: 34303871 DOI: 10.1016/j.ejmech.2021.113705] [Cited by in Crossref: 44] [Cited by in F6Publishing: 34] [Article Influence: 44.0] [Reference Citation Analysis]
14 Nan S, Wang P, Zhang Y, Fan J. Epigallocatechin-3-Gallate Provides Protection Against Alzheimer's Disease-Induced Learning and Memory Impairments in Rats. Drug Des Devel Ther 2021;15:2013-24. [PMID: 34012254 DOI: 10.2147/DDDT.S289473] [Cited by in Crossref: 5] [Cited by in F6Publishing: 8] [Article Influence: 5.0] [Reference Citation Analysis]
15 Aatif M, Muteeb G, Alsultan A, Alshoaibi A, Khelif BY. Dieckol and Its Derivatives as Potential Inhibitors of SARS-CoV-2 Spike Protein (UK Strain: VUI 202012/01): A Computational Study. Mar Drugs 2021;19:242. [PMID: 33922914 DOI: 10.3390/md19050242] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 10.0] [Reference Citation Analysis]
16 Muteeb G, Alshoaibi A, Aatif M, Rehman MT, Qayyum MZ. Screening marine algae metabolites as high-affinity inhibitors of SARS-CoV-2 main protease (3CLpro): an in silico analysis to identify novel drug candidates to combat COVID-19 pandemic. Appl Biol Chem 2020;63:79. [PMID: 33251389 DOI: 10.1186/s13765-020-00564-4] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 7.5] [Reference Citation Analysis]
17 Nayarisseri A, Khandelwal R, Madhavi M, Selvaraj C, Panwar U, Sharma K, Hussain T, Singh SK. Shape-based Machine Learning Models for the Potential Novel COVID-19 Protease Inhibitors Assisted by Molecular Dynamics Simulation. Curr Top Med Chem 2020;20:2146-67. [PMID: 32621718 DOI: 10.2174/1568026620666200704135327] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 9.0] [Reference Citation Analysis]