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Cited by in F6Publishing

For:	Harigua-Souiai E, Heinhane MM, Abdelkrim YZ, Souiai O, Abdeljaoued-Tej I, Guizani I. Deep Learning Algorithms Achieved Satisfactory Predictions When Trained on a Novel Collection of Anticoronavirus Molecules. Front Genet 2021;12:744170. [PMID: 34912370 DOI: 10.3389/fgene.2021.744170] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]

For:

Harigua-Souiai E, Heinhane MM, Abdelkrim YZ, Souiai O, Abdeljaoued-Tej I, Guizani I. Deep Learning Algorithms Achieved Satisfactory Predictions When Trained on a Novel Collection of Anticoronavirus Molecules. Front Genet 2021;12:744170. [PMID: 34912370 DOI: 10.3389/fgene.2021.744170] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]

Number	Citing Articles
1	Aqeel I, Bilal M, Majid A, Majid T. Hybrid Approach to Identifying Druglikeness Leading Compounds against COVID-19 3CL Protease. Pharmaceuticals 2022;15:1333. [DOI: 10.3390/ph15111333] [Reference Citation Analysis]
2	Harigua-Souiai E, Oualha R, Souiai O, Abdeljaoued-Tej I, Guizani I. Applied Machine Learning Toward Drug Discovery Enhancement: Leishmaniases as a Case Study. Bioinform Biol Insights 2022;16:11779322221090349. [PMID: 35478992 DOI: 10.1177/11779322221090349] [Reference Citation Analysis]