ReviewFrontiers in genetics2023
Deep mutational scanning: A versatile tool in systematically mapping genotypes to phenotypes.
Review in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Preclinical Anticipation of On- and Off-Target Resistance Mechanisms to Anti-Cancer Drugs: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Article
- Large serine recombinase-mediated gene insertion for high-throughput screens: advantages, design principles, and applications.Nucleic acids research · 2026Review
- Advancing risk gene discovery across the allele frequency spectrum.HGG advances · 2026Review
- How far can you go? Extrapolating values of catalytic activity from known protein landscapes in natural and directed evolution.Chemical Society reviews · 2026Review
- Machine learning framework for cost effective deep mutational scanning through targeted substitution profiling.BMC bioinformatics · 2026Article
- Determining the intra-residue correlation of missense variant impact using MAVE scores: implications for the ACMG/AMP PM5 criterion for DNA variant classification.Genome medicine · 2026Article
- Deep-mutational scanning libraries using Tiled-Region Exchange mutagenesis.G3 (Bethesda, Md.) · 2026Article
- Overcoming extrapolation challenges of deep learning by incorporating physics in protein sequence-function modeling.PLoS computational biology · 2026Article
- Concentration-dependent mutational scanning probes the cellular folding landscape of α-synuclein in yeast.Protein science : a publication of the Protein Society · 2026Article
- A cost-effective and scalable barcoded library construction method for deep mutational scanning studies.PLoS biology · 2026Article
- Article
- Concentration-Dependent Mutational Scanning Probes the Cellular Folding Landscape of α-Synuclein in Yeast.bioRxiv : the preprint server for biology · 2025Article
- ΦX174 bacteriophage viability predicted by protein biophysical modeling.bioRxiv : the preprint server for biology · 2025Article
- AbAgym: a well-curated dataset for the mutational analysis of antibody-antigen complexes.mAbs · 2025Article
- Adaptive tracking with antagonistic pleiotropy results in seemingly neutral molecular evolution.Nature ecology & evolution · 2025Article
- Uncovering the molecular basis of kinase activity and substrate recognition with phospho-PCA.bioRxiv : the preprint server for biology · 2025Article
- Overcoming Extrapolation Challenges of Deep Learning by Incorporating Physics in Protein Sequence-Function Modeling.bioRxiv : the preprint server for biology · 2025Article
- Article
- Integrating protein sequence design and evolutionary sequence conservation to uncover spectral tuning sites in red-light photoreceptors.Structure (London, England : 1993) · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unveiling how genetic variations lead to phenotypic variations is one of the key questions in evolutionary biology, genetics, and biomedical research. Deep mutational scanning (DMS) technology has allowed the mapping of tens of thousands of genetic variations to phenotypic variations efficiently and economically. Since its first systematic introduction about a decade ago, we have witnessed the use of deep mutational scanning in many research areas leading to scientific breakthroughs. Also, the methods in each step of deep mutational scanning have become much more versatile thanks to the oligo-synthesizing technology, high-throughput phenotyping methods and deep sequencing technology. However, each specific possible step of deep mutational scanning has its pros and cons, and some limitations still await further technological development. Here, we discuss recent scientific accomplishments achieved through the deep mutational scanning and describe widely used methods in each step of deep mutational scanning. We also compare these different methods and analyze their advantages and disadvantages, providing insight into how to design a deep mutational scanning study that best suits the aims of the readers' projects.
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Registered trials
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 Socratic graph.