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Article

Prediction of the pathogenicity of antithrombin sequence variations by in silico methods.

Thrombosis research - 1 Feb 2015

Luxembourg Beate, D'Souza Mathias, Körber Stephanie, Seifried Erhard

Abstract excerpt

Computational prediction tools have been developed to aid in the interpretation of novel sequence variations, but their utility within the diagnostic setting of antithrombin (AT) deficiency has not been evaluated to date. The aim of our study was to test the performance of different bioinformatic tools (Meta-SNP, MutPred, nsSNPAnalyzer, PANTHER, PhD-SNP, PMut, SIFT, SNAP, SNPs&Go, PolyPhen-2, PON-P2, and...

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Source

Identifiers

PMID: 25496998
DOI: 10.1016/j.thromres.2014.11.022

Genes

SERPINC1

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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