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Cited by in F6Publishing
For: Fotis C, Antoranz A, Hatziavramidis D, Sakellaropoulos T, Alexopoulos LG. Network-based technologies for early drug discovery. Drug Discov Today. 2017;23:626-635. [PMID: 29294361 DOI: 10.1016/j.drudis.2017.12.001] [Cited by in Crossref: 25] [Cited by in F6Publishing: 21] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Chong LC, Gandhi G, Lee JM, Yeo WWY, Choi SB. Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review. Int J Mol Sci 2021;22:8962. [PMID: 34445667 DOI: 10.3390/ijms22168962] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Benchoua A, Lasbareilles M, Tournois J. Contribution of Human Pluripotent Stem Cell-Based Models to Drug Discovery for Neurological Disorders. Cells 2021;10:3290. [PMID: 34943799 DOI: 10.3390/cells10123290] [Reference Citation Analysis]
3 Wang Y, Hu B, Feng S, Wang J, Zhang F. Target recognition and network pharmacology for revealing anti-diabetes mechanisms of natural product. Journal of Computational Science 2020;45:101186. [DOI: 10.1016/j.jocs.2020.101186] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Wei YP, Yao LY, Wu YY, Liu X, Peng LH, Tian YL, Ding JH, Li KH, He QG. Critical Review of Synthesis, Toxicology and Detection of Acyclovir. Molecules 2021;26:6566. [PMID: 34770975 DOI: 10.3390/molecules26216566] [Reference Citation Analysis]
5 Ding Y, Yu S, Wei Z, Deng R, Chen P, Sun Y, Jia Q, Li X, Wu Y, Chen W, Zanker KS, Wang A, Lu Y. Relieving Sore Throat Formula Exerts a Therapeutic Effect on Pharyngitis through Immunoregulation and NF-κB Pathway. Mediators Inflamm 2020;2020:2929163. [PMID: 32508523 DOI: 10.1155/2020/2929163] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
6 Neidlin M, Dimitrakopoulou S, Alexopoulos LG. Multi-tissue network analysis for drug prioritization in knee osteoarthritis. Sci Rep 2019;9:15176. [PMID: 31645614 DOI: 10.1038/s41598-019-51627-6] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
7 Yan W, Liu X, Wang Y, Han S, Wang F, Liu X, Xiao F, Hu G. Identifying Drug Targets in Pancreatic Ductal Adenocarcinoma Through Machine Learning, Analyzing Biomolecular Networks, and Structural Modeling. Front Pharmacol 2020;11:534. [PMID: 32425783 DOI: 10.3389/fphar.2020.00534] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
8 Cava C, Bertoli G, Castiglioni I. In silico identification of drug target pathways in breast cancer subtypes using pathway cross-talk inhibition. J Transl Med 2018;16:154. [PMID: 29871693 DOI: 10.1186/s12967-018-1535-2] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 3.8] [Reference Citation Analysis]
9 Zhang M, Yang J, Zhao X, Zhao Y, Zhu S. Network pharmacology and molecular docking study on the active ingredients of qidengmingmu capsule for the treatment of diabetic retinopathy. Sci Rep 2021;11:7382. [PMID: 33795817 DOI: 10.1038/s41598-021-86914-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Kwon OS, Kim W, Cha HJ, Lee H. In silico drug repositioning: from large-scale transcriptome data to therapeutics. Arch Pharm Res 2019;42:879-89. [PMID: 31482491 DOI: 10.1007/s12272-019-01176-3] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 3.3] [Reference Citation Analysis]
11 Kundu A, Feijoo F, Martinez DA, Hermosilla M, Matis T. Prospective adverse event risk evaluation in clinical trials. Health Care Manag Sci 2021. [PMID: 34559339 DOI: 10.1007/s10729-021-09584-y] [Reference Citation Analysis]
12 Li A, Huang HT, Huang HC, Juan HF. LncTx: A network-based method to repurpose drugs acting on the survival-related lncRNAs in lung cancer. Comput Struct Biotechnol J 2021;19:3990-4002. [PMID: 34377365 DOI: 10.1016/j.csbj.2021.07.007] [Reference Citation Analysis]
13 Amaral MD. How to determine the mechanism of action of CFTR modulator compounds: A gateway to theranostics. Eur J Med Chem 2021;210:112989. [PMID: 33190956 DOI: 10.1016/j.ejmech.2020.112989] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
14 Wang X, Liu M, Zhang L, Wang Y, Li Y, Lu T. Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach. J Chem Inf Model 2020;60:4603-13. [PMID: 32804486 DOI: 10.1021/acs.jcim.0c00568] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
15 Fotis C, Meimetis N, Sardis A, Alexopoulos LG. DeepSIBA: chemical structure-based inference of biological alterations using deep learning. Mol Omics 2021;17:108-20. [PMID: 33188379 DOI: 10.1039/d0mo00129e] [Reference Citation Analysis]
16 Wang J, Luo L, Ding Q, Wu Z, Peng Y, Li J, Wang X, Li W, Liu G, Zhang B, Tang Y. Development of a Multi-Target Strategy for the Treatment of Vitiligo via Machine Learning and Network Analysis Methods. Front Pharmacol 2021;12:754175. [PMID: 34603063 DOI: 10.3389/fphar.2021.754175] [Reference Citation Analysis]
17 Trajanoska K, Rivadeneira F. Genomic Medicine: Lessons Learned From Monogenic and Complex Bone Disorders. Front Endocrinol (Lausanne) 2020;11:556610. [PMID: 33162933 DOI: 10.3389/fendo.2020.556610] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
18 Hou X, Li M, Jia C, Zhang X, Wang Y. Attractor - a new turning point in drug discovery. Drug Des Devel Ther 2019;13:2957-68. [PMID: 31686779 DOI: 10.2147/DDDT.S216397] [Reference Citation Analysis]
19 Romeo-Guitart D, Casas C. Network-centric medicine for peripheral nerve injury: Treating the whole to boost endogenous mechanisms of neuroprotection and regeneration. Neural Regen Res 2019;14:1122-8. [PMID: 30804234 DOI: 10.4103/1673-5374.251187] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.7] [Reference Citation Analysis]
20 Fang T, Liu L, Liu W. Network pharmacology-based strategy for predicting therapy targets of Tripterygium wilfordii on acute myeloid leukemia. Medicine (Baltimore) 2020;99:e23546. [PMID: 33327305 DOI: 10.1097/MD.0000000000023546] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
21 Gomez-Verjan JC, Ramírez-Aldana R, Pérez-Zepeda MU, Quiroz-Baez R, Luna-López A, Gutierrez Robledo LM. Systems biology and network pharmacology of frailty reveal novel epigenetic targets and mechanisms. Sci Rep 2019;9:10593. [PMID: 31332237 DOI: 10.1038/s41598-019-47087-7] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
22 Chen YL, Zhang YL, Dai YC, Tang ZP. Systems pharmacology approach reveals the antiinflammatory effects of Ampelopsis grossedentata on dextran sodium sulfate-induced colitis. World J Gastroenterol 2018; 24(13): 1398-1409 [PMID: 29632421 DOI: 10.3748/wjg.v24.i13.1398] [Cited by in CrossRef: 13] [Cited by in F6Publishing: 11] [Article Influence: 3.3] [Reference Citation Analysis]
23 Pawar G, Madden JC, Ebbrell D, Firman JW, Cronin MTD. In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR. Front Pharmacol 2019;10:561. [PMID: 31244651 DOI: 10.3389/fphar.2019.00561] [Cited by in Crossref: 23] [Cited by in F6Publishing: 16] [Article Influence: 7.7] [Reference Citation Analysis]
24 Zhao T, Hu Y, Valsdottir LR, Zang T, Peng J. Identifying drug-target interactions based on graph convolutional network and deep neural network. Brief Bioinform 2021;22:2141-50. [PMID: 32367110 DOI: 10.1093/bib/bbaa044] [Cited by in Crossref: 32] [Cited by in F6Publishing: 23] [Article Influence: 16.0] [Reference Citation Analysis]
25 Yang J, Li H, Wang F, Xiao F, Yan W, Hu G. Network-Based Target Prioritization and Drug Candidate Identification for Multiple Sclerosis: From Analyzing "Omics Data" to Druggability Simulations. ACS Chem Neurosci 2021;12:917-29. [PMID: 33565875 DOI: 10.1021/acschemneuro.1c00011] [Reference Citation Analysis]