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Cited by in F6Publishing
For: Tunstall T, Portelli S, Phelan J, Clark TG, Ascher DB, Furnham N. Combining structure and genomics to understand antimicrobial resistance. Comput Struct Biotechnol J 2020;18:3377-94. [PMID: 33294134 DOI: 10.1016/j.csbj.2020.10.017] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Portelli S, Barr L, de Sá AGC, Pires DEV, Ascher DB. Distinguishing between PTEN clinical phenotypes through mutation analysis. Comput Struct Biotechnol J 2021;19:3097-109. [PMID: 34141133 DOI: 10.1016/j.csbj.2021.05.028] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Rodrigues CHM, Pires DEV, Ascher DB. mmCSM-PPI: predicting the effects of multiple point mutations on protein-protein interactions. Nucleic Acids Res 2021;49:W417-24. [PMID: 33893812 DOI: 10.1093/nar/gkab273] [Reference Citation Analysis]
3 Gwenzi W, Chaukura N, Muisa-Zikali N, Teta C, Musvuugwa T, Rzymski P, Abia ALK. Insects, Rodents, and Pets as Reservoirs, Vectors, and Sentinels of Antimicrobial Resistance. Antibiotics (Basel) 2021;10:68. [PMID: 33445633 DOI: 10.3390/antibiotics10010068] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Májek P, Lüftinger L, Beisken S, Rattei T, Materna A. Genome-Wide Mutation Scoring for Machine-Learning-Based Antimicrobial Resistance Prediction. Int J Mol Sci 2021;22:13049. [PMID: 34884852 DOI: 10.3390/ijms222313049] [Reference Citation Analysis]
5 Pan Q, Nguyen TB, Ascher DB, Pires DEV. Systematic evaluation of computational tools to predict the effects of mutations on protein stability in the absence of experimental structures. Brief Bioinform 2022:bbac025. [PMID: 35189634 DOI: 10.1093/bib/bbac025] [Reference Citation Analysis]