Evidence map›Paper›PMID 41073804›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2025

Enhanced computational strategies for categorizing HER2 kinase domain variants of uncertain significance through structural and functional analysis.

Tamizhini Loganathan, C George Priya Doss

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Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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2 authors.

Tamizhini LoganathanLaboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India.
C George Priya DossLaboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India. georgepriyadoss@vit.ac.in.

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6 · The paper itself

Abstract

The HER2 (human epidermal growth factor receptor 2) kinase domain plays a pivotal role in receptor-mediated signaling and is frequently mutated across various cancer types. Variants of uncertain significance (VUS) within this domain pose significant challenges for clinical interpretation. In this study, a comprehensive computational analysis was conducted on 97 HER2 kinase domain variants comprising 25 pathogenic and 72 VUS entries using a panel of 13 predictive algorithms, including PredictSNP, PolyPhen-2, SIFT, and CADD. A subset of 32 variants (11 pathogenic and 21 VUS) was prioritized for in-depth structural and functional evaluation, based on concordant deleterious predictions from ≥ 9 algorithms. Conservation profiling via ConSurf and Align-GVGD revealed that these variants predominantly localize to highly conserved and functionally critical residues, underscoring their potential biological relevance. Thermodynamic stability profiling using I-Mutant indicated that the majority of prioritized variants exerted destabilizing effects on the protein's tertiary structure, consistent with their pathogenic annotations. Extended molecular dynamics simulations (200 ns) revealed noticeable deviations in root mean square displacement (RMSD), root mean square fluctuation (RMSF), and solvent-accessible surface area (SASA), accompanied by reductions in intramolecular hydrogen bonding and global structural compactness, highlighting conformational destabilization. Stereochemical integrity, assessed through Ramachandran plot analysis, was compromised in specific variants. At the same time, perturbations in hydrophobic core interactions and secondary structure elements further underscored disruptions in core packing and local conformational stability. Notably, the R816P variant demonstrated minimal perturbation to structural dynamics, highlighting the necessity of integrating time-resolved simulations with sequence-based pathogenicity predictions.

Indexed as

Computational BiologyErb-b2 Receptor Tyrosine KinasesAlgorithmsHumansMolecular Dynamics SimulationMutationProtein DomainsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesAnd VUSBreast cancerHER2 kinase domainMolecular dynamics simulationsPathogenicity tools

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.