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Article

SAAMBE-3D: Predicting Effect of Mutations on Protein-Protein Interactions.

International journal of molecular sciences - 7 Apr 2020

Pahari Swagata, Li Gen, Murthy Adithya Krishna, Liang Siqi, Fragoza Robert, Yu Haiyuan, Alexov Emil

Abstract excerpt

Maintaining wild type protein-protein interactions is essential for the normal function of cell and any mutation that alter their characteristics can cause disease. Therefore, the ability to correctly and quickly predict the effect of amino acid mutations is crucial for understanding disease effects and to be able to carry out genome-wide studies. Here, we report a new development of the SAAMBE method, SAAMBE-3D,...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 32272725
DOI: 10.3390/ijms21072563
PMCID: PMC7177817

Provenance

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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