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Article

Optimization of in silico tools for predicting genetic variants: individualizing for genes with molecular sub-regional stratification.

Briefings in bioinformatics - 25 Sept 2020

Tang Bin, Li Bin, Gao Liang-Di, He Na, Liu Xiao-Rong, Long Yue-Sheng, Zeng Yang, Yi Yong-Hong, Su Tao, Liao Wei-Ping

Abstract excerpt

Genes are unique in functional role and differ in their sensitivities to genetic defects, but with difficulties in pathogenicity prediction. This study attempted to improve the performance of existing in silico algorithms and find a common solution based on individualization strategy. We initiated the individualization with the epilepsy-related SCN1A variants by sub-regional stratification. SCN1A missense...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 31686106
DOI: 10.1093/bib/bbz115

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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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