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For: Russo G, Reche P, Pennisi M, Pappalardo F. The combination of artificial intelligence and systems biology for intelligent vaccine design. Expert Opin Drug Discov 2020;15:1267-81. [PMID: 32662677 DOI: 10.1080/17460441.2020.1791076] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
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1 Arega AM, Pattanaik KP, Nayak S, Mahapatra RK. Computational discovery and ex-vivo validation study of novel antigenic vaccine candidates against tuberculosis. Acta Trop 2021;217:105870. [PMID: 33636152 DOI: 10.1016/j.actatropica.2021.105870] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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6 Basu B, Gowtham NH, Xiao Y, Kalidindi SR, Leong KW. Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials. Acta Biomater 2022;143:1-25. [PMID: 35202854 DOI: 10.1016/j.actbio.2022.02.027] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Valizadeh A, Imani Fooladi AA, Sedighian H, Mahboobi M, Gholami Parizad E, Behzadi E, Khosravi A. Evaluating the Performance of PPE44, HSPX, ESAT-6 and CFP-10 Factors in Tuberculosis Subunit Vaccines. Curr Microbiol 2022;79:260. [PMID: 35852636 DOI: 10.1007/s00284-022-02949-8] [Reference Citation Analysis]
8 Sun B, Zhang J, Wang J, Liu Y, Sun H, Lu Z, Chen L, Ding X, Pan J, Hu C, Yang S, Jiang D, Yang K. Comparative Immunoreactivity Analyses of Hantaan Virus Glycoprotein-Derived MHC-I Epitopes in Vaccination. Vaccines 2022;10:564. [DOI: 10.3390/vaccines10040564] [Reference Citation Analysis]
9 Spjuth O, Frid J, Hellander A. The machine learning life cycle and the cloud: implications for drug discovery. Expert Opin Drug Discov 2021;16:1071-9. [PMID: 34057379 DOI: 10.1080/17460441.2021.1932812] [Reference Citation Analysis]