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For: Fu TT, Tu G, Ping M, Zheng GX, Yang FY, Yang JY, Zhang Y, Yao XJ, Xue WW, Zhu F. Subtype-selective mechanisms of negative allosteric modulators binding to group I metabotropic glutamate receptors. Acta Pharmacol Sin 2021;42:1354-67. [PMID: 33122823 DOI: 10.1038/s41401-020-00541-z] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Eltaib L, Alzain AA. Targeting the omicron variant of SARS-CoV-2 with phytochemicals from Saudi medicinal plants: molecular docking combined with molecular dynamics investigations. Journal of Biomolecular Structure and Dynamics 2022. [DOI: 10.1080/07391102.2022.2146203] [Reference Citation Analysis]
2 Mohanty R, Manoswini M, Dhal AK, Ganguly N. In silico analysis of a novel protein in CAR T- cell therapy for the treatment of hematologic cancer through molecular modelling, docking, and dynamics approach. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106285] [Reference Citation Analysis]
3 Zhang W, Tian W, Wang Y, Jin X, Guo H, Wang Y, Tang Y, Yao X. Explore the mechanism and substance basis of Mahuang FuziXixin Decoction for the treatment of lung cancer based on network pharmacology and molecular docking. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106293] [Reference Citation Analysis]
4 Pitsillou E, Liang JJ, Beh RC, Hung A, Karagiannis TC. Molecular dynamics simulations highlight the altered binding landscape at the spike-ACE2 interface between the Delta and Omicron variants compared to the SARS-CoV-2 original strain. Computers in Biology and Medicine 2022;149:106035. [DOI: 10.1016/j.compbiomed.2022.106035] [Reference Citation Analysis]
5 Ko M, Kim Y, Kim HH, Jeong S, Ahn D, Chung SJ, Kim H. Network pharmacology and molecular docking approaches to elucidate the potential compounds and targets of Saeng-Ji-Hwang-Ko for treatment of type 2 diabetes mellitus. Computers in Biology and Medicine 2022;149:106041. [DOI: 10.1016/j.compbiomed.2022.106041] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Todsaporn D, Mahalapbutr P, Poo-Arporn RP, Choowongkomon K, Rungrotmongkol T. Structural dynamics and kinase inhibitory activity of three generations of tyrosine kinase inhibitors against wild-type, L858R/T790M, and L858R/T790M/C797S forms of EGFR. Comput Biol Med 2022;147:105787. [PMID: 35803080 DOI: 10.1016/j.compbiomed.2022.105787] [Reference Citation Analysis]
7 Nag A, Banerjee R, Paul S, Kundu R. Curcumin inhibits spike protein of new SARS-CoV-2 variant of concern (VOC) Omicron, an in silico study. Computers in Biology and Medicine 2022;146:105552. [DOI: 10.1016/j.compbiomed.2022.105552] [Reference Citation Analysis]
8 Budgett RF, Bakker G, Sergeev E, Bennett KA, Bradley SJ. Targeting the Type 5 Metabotropic Glutamate Receptor: A Potential Therapeutic Strategy for Neurodegenerative Diseases? Front Pharmacol 2022;13:893422. [PMID: 35645791 DOI: 10.3389/fphar.2022.893422] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Mathuri A, Pramanik M, Mal P. 3-Arylsulfonylquinolines from N-Propargylamines via Cascaded Oxidative Sulfonylation Using DABSO. J Org Chem 2022. [PMID: 35509227 DOI: 10.1021/acs.joc.2c00499] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Martinelli DD. Generative machine learning for de novo drug discovery: A systematic review. Comput Biol Med 2022;145:105403. [PMID: 35339849 DOI: 10.1016/j.compbiomed.2022.105403] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
11 Fu T, Li F, Zhang Y, Yin J, Qiu W, Li X, Liu X, Xin W, Wang C, Yu L, Gao J, Zheng Q, Zeng S, Zhu F. VARIDT 2.0: structural variability of drug transporter. Nucleic Acids Res 2021:gkab1013. [PMID: 34747471 DOI: 10.1093/nar/gkab1013] [Cited by in Crossref: 29] [Cited by in F6Publishing: 35] [Article Influence: 29.0] [Reference Citation Analysis]
12 Tu G, Fu T, Yang F, Yang J, Zhang Z, Yao X, Xue W, Zhu F. Understanding the Polypharmacological Profiles of Triple Reuptake Inhibitors by Molecular Simulation. ACS Chem Neurosci 2021;12:2013-26. [PMID: 33977725 DOI: 10.1021/acschemneuro.1c00127] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]