Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Assessing In Silico Tools for Accurate Pathogenicity Prediction in CHD Nucleosome Remodelers.

Journal of molecular biology - 1 Nov 2025

Rabouhi Nazim, Guindon Simon, Coleman Emilia Aisha, van Heesbeen H J, Greenwood Celia M T, Lu Tianyuan, Campeau Philippe M

Abstract excerpt

Chromodomain Helicase DNA-binding (CHD) proteins compose a family of chromatin remodelers that play crucial roles in DNA repair, gene expression regulation, neural stem cell differentiation and chromatin integrity. Genetic variants in CHD chromatin remodelers are associated with neurodevelopmental disorders with features like autism spectrum disorder and intellectual disability. Consequently, the determination of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adenosine Triphosphatases
Share to Chromatin

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Computational Biology

Share to DNA-Binding Proteins

Share to Mutation

Share to Nucleosomes

Source

Identifiers

PMID: 40907936
DOI: 10.1016/j.jmb.2025.169413

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Assessing In Silico Tools for Accurate Pathogenicity Prediction in CHD Nucleosome Remodelers.PMID 40907936Read ↗

In silico Analysis of CHD4 Mutations Reveals Domain-Specific Impacts on Cardiovascular Disorders Among Patients With Rare Diseases.Semantic proximity Read ↗

Incorporation of clinical and molecular variant properties improves the performance of in silico pathogenicity prediction tools.Semantic proximity Read ↗

Pathogenicity Prediction of Missense Variations in Hereditary Cancer Genes.Semantic proximity Read ↗

CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variationsSemantic proximity Read ↗

AI-derived comparative assessment of the performance of pathogenicity prediction tools on missense variants of breast cancer genes.Semantic proximity Read ↗

Assessing performance of pathogenicity predictors using clinically relevant variant datasets.Semantic proximity Read ↗

A Screening Approach to Identify Clinically Actionable Variants Causing Congenital Heart Disease in Exome Data.Semantic proximity Read ↗

CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variations.Semantic proximity Read ↗

A benchmark study of scoring methods for non-coding mutations.Semantic proximity Read ↗

Gene-specific pathogenicity predictor for chromatin remodeling BAF complex-associated neurodevelopmental disorders.Semantic proximity Read ↗

Evaluating novel in silico tools for accurate pathogenicity classification in epilepsy-associated genetic missense variants.Semantic proximity Read ↗

Performance of mutation pathogenicity prediction methods on missense variants.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.