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

Mechanistic Mutational Scanning to Uncover the Secret Life of Proteins.

Annual review of biomedical data science - 1 Aug 2026

Howard Matthew K, Coyote-Maestas Willow

Abstract excerpt

Deep mutational scanning (DMS) has emerged as a transformative tool for dissecting individual protein function and broader cell biology. DMS methods enable comprehensive interrogation of sequence-function relationships by systematically testing thousands of genetic variants within a pool for their effect(s) on diverse phenotypes. This review focuses on how these approaches are revolutionizing mechanistic protein...

Read the complete abstract on PubMed

Topics

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

Share to Mutation
Share to Protein Folding
Share to Protein Processing, Post-Translational

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Proteins

Source

Identifiers

PMID: 42048242
DOI: 10.1146/annurev-biodatasci-092624-104436

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 15 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Mechanistic Mutational Scanning to Uncover the Secret Life of Proteins.PMID 42048242Read ↗

Deep mutational scanning: a new style of protein science.Semantic proximity Read ↗

Towards predictive biophysical and mechanistic models for disease-causing protein variantsSemantic proximity Read ↗

Disruption of protein function by pathogenic mutations: common and uncommon mechanisms 1.Semantic proximity Read ↗

The role of functional data in interpreting the effects of genetic variation.Semantic proximity Read ↗

High-throughput assays to assess variant effects on disease.Semantic proximity Read ↗

Deep mutational scanning: assessing protein function on a massive scale.Semantic proximity Read ↗

A massively parallel pipeline to clone DNA variants and examine molecular phenotypes of human disease mutations.Semantic proximity Read ↗

Multimodal phenotyping defines variant-to-function maps for RBM20 in dilated cardiomyopathySemantic proximity Read ↗

Deep mutational scanning of proteins in mammalian cells.Semantic proximity Read ↗

Base editor screens for in situ mutational scanning at scale.Semantic proximity Read ↗

Determinants of trafficking, conduction, and disease within a K <sup>+</sup> channel revealed through multiparametric deep mutational scanningSemantic proximity Read ↗

Proteome-wide identification of amino acid substitutions deleterious for protein functionSemantic proximity Read ↗

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