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Cited by in F6Publishing
For: Chang JW, Ding Y, Tahir Ul Qamar M, Shen Y, Gao J, Chen LL. A deep learning model based on sparse auto-encoder for prioritizing cancer-related genes and drug target combinations. Carcinogenesis 2019;40:624-32. [PMID: 30944926 DOI: 10.1093/carcin/bgz044] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Altharawi A, Ahmad S, Alamri MA, Tahir Ul Qamar M. Structural insight into the binding pattern and interaction mechanism of chemotherapeutic agents with Sorcin by docking and molecular dynamic simulation. Colloids Surf B Biointerfaces 2021;208:112098. [PMID: 34509085 DOI: 10.1016/j.colsurfb.2021.112098] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
2 Tang L, Li J, Du H, Li L, Wu J, Wang S. Big Data in Forecasting Research: A Literature Review. Big Data Research 2022;27:100289. [DOI: 10.1016/j.bdr.2021.100289] [Reference Citation Analysis]
3 Almansour NM. Triple-Negative Breast Cancer: A Brief Review About Epidemiology, Risk Factors, Signaling Pathways, Treatment and Role of Artificial Intelligence. Front Mol Biosci 2022;9:836417. [DOI: 10.3389/fmolb.2022.836417] [Reference Citation Analysis]
4 Suleman M, Tahir Ul Qamar M, Saleem S, Ahmad S, Ali SS, Khan H, Akbar F, Khan W, Alblihy A, Alrumaihi F, Waseem M, Allemailem KS. Mutational Landscape of Pirin and Elucidation of the Impact of Most Detrimental Missense Variants That Accelerate the Breast Cancer Pathways: A Computational Modelling Study. Front Mol Biosci 2021;8:692835. [PMID: 34262943 DOI: 10.3389/fmolb.2021.692835] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
5 Gogleva A, Polychronopoulos D, Pfeifer M, Poroshin V, Ughetto M, Martin MJ, Thorpe H, Bornot A, Smith PD, Sidders B, Dry JR, Ahdesmäki M, Mcdermott U, Papa E, Bulusu KC. Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer. Nat Commun 2022;13. [DOI: 10.1038/s41467-022-29292-7] [Reference Citation Analysis]
6 Alhumaydhi FA. Integrated computational approaches to screen gene expression data to determine key genes and therapeutic targets for type-2 diabetes mellitus. Saudi Journal of Biological Sciences 2022. [DOI: 10.1016/j.sjbs.2022.02.004] [Reference Citation Analysis]
7 Yang XL, Shi Y, Zhang DD, Xin R, Deng J, Wu TM, Wang HM, Wang PY, Liu JB, Li W, Ma YS, Fu D. Quantitative proteomics characterization of cancer biomarkers and treatment. Mol Ther Oncolytics 2021;21:255-63. [PMID: 34095463 DOI: 10.1016/j.omto.2021.04.006] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Alrumaihi F. A Comprehensive Computational Screening of Phytochemicals Derived from Saudi Medicinal Plants against Human CC Chemokine Receptor 7 to Identify Potential Anti-Cancer Therapeutics. Molecules 2021;26:6354. [PMID: 34770763 DOI: 10.3390/molecules26216354] [Reference Citation Analysis]