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Article

Pathogenicity Prediction of Single Amino Acid Variants With Machine Learning Model Based on Protein Structural Energies.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Wu Tzu-Hsuan, Lin Peng-Chan, Chou Hsin-Hung, Shen Meng-Ru, Hsieh Sun-Yuan

Abstract excerpt

The most popular tools for predicting pathogenicity of single amino acid variants (SAVs) were developed based on sequence-based techniques. SAVs may change protein structure and function. In the context of van der Waals force and disulfide bridge calculations, no method directly predicts the impact of mutations on the energies of the protein structure. Here, we combined machine learning methods and energy scores...

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Identifiers

PMID: 34962874
DOI: 10.1109/TCBB.2021.3139048

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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