2022
DOI: 10.1016/j.ajg.2022.03.003
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In silico screening and analysis of single-nucleotide polymorphic variants of the ABCC2 gene affecting Dubin–Johnson syndrome

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Cited by 2 publications
(2 citation statements)
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“…The assessment of the potentially pathogenic nature of the detected mutation was performed using the online software tools PROVEAN (http://sift.jcvi.org/www/SIFT_enst_submit.html) [32], MutationTaster web application (http://www.mutationtaster.org) [33,34], and Mutpred2 (http://mutpred2.mutdb.org/index.html) [35,36]. For the analysis using these resources, we inputted the amino acid sequences following the algorithms provided by the respective developers.…”
Section: In Silico Analysismentioning
confidence: 99%
“…The assessment of the potentially pathogenic nature of the detected mutation was performed using the online software tools PROVEAN (http://sift.jcvi.org/www/SIFT_enst_submit.html) [32], MutationTaster web application (http://www.mutationtaster.org) [33,34], and Mutpred2 (http://mutpred2.mutdb.org/index.html) [35,36]. For the analysis using these resources, we inputted the amino acid sequences following the algorithms provided by the respective developers.…”
Section: In Silico Analysismentioning
confidence: 99%
“…Alternatively, several computational methods are widely used for predicting deleterious genetic mutations and determining their molecular mechanism [Thusberg and Vihinen, 2009;Leong et al, 2015;Singh and Mistry, 2016;Naveed et al, 2019;Kakar et al, 2021]. Indeed, pathogenic SNPs of various genes have been identified using these computational approaches including genes implicated in cancer, such as BRCA1, KRAS, and FGF4 [Rajasekaran et al, 2007;Wang et al, 2019;Lim et al, 2022]; in infection susceptibility, such as ACE2 and IFNAR2 [Saih et al, 2021;Akter et al, 2022], or in hereditary disease like MRE11 and ABCC2 [Tarapara and Shah, 2022;Sharma and Sharma, 2022].…”
mentioning
confidence: 99%