ReviewCurrent opinion in structural biology2017
Deep sequencing methods for protein engineering and design.
Review in Current opinion in structural biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed.
- Combining Oligo Pools and Golden Gate Cloning to Create Protein Variant Libraries or Guide RNA Libraries for CRISPR Applications.Methods in molecular biology (Clifton, N.J.) · 2025Article
- An integrated technology for quantitative wide mutational scanning of human antibody Fab libraries.Nature communications · 2024Article
- Is Novelty Predictable?Cold Spring Harbor perspectives in biology · 2024Review
- An integrated technology for quantitative wide mutational scanning of human antibody Fab libraries.bioRxiv : the preprint server for biology · 2024Article
- Advances in ligand-specific biosensing for structurally similar molecules.Cell systems · 2023Review
- MBE: model-based enrichment estimation and prediction for differential sequencing data.Genome biology · 2023Article
- Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing data.Bioinformatics (Oxford, England) · 2023Article
- Designed Loop Extension Followed by Combinatorial Screening Confers High Specificity to a Broad Matrix MetalloproteinaseInhibitor.Journal of molecular biology · 2023Article
- Recent Advances in Machine Learning Variant Effect Prediction Tools for Protein Engineering.Industrial & engineering chemistry research · 2022Article
- Article
- Oligo Pools as an Affordable Source of Synthetic DNA for Cost-Effective Library Construction in Protein- and Metabolic Pathway Engineering.Chembiochem : a European journal of chemical biology · 2022Review
- Identification of stabilizing point mutations through mutagenesis of destabilized protein libraries.The Journal of biological chemistry · 2022Article
- In silico evolution of nucleic acid-binding proteins from a nonfunctional scaffold.Nature chemical biology · 2022Article
- In-depth Sequence-Function Characterization Reveals Multiple Pathways to Enhance Enzymatic Activity.ACS catalysis · 2022Article
- Data-Driven Synthetic Cell Factories Development for Industrial Biomanufacturing.Biodesign research · 2022Review
- Machine Learning-driven Protein Library Design: A Path Toward Smarter Libraries.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Yeast Surface Display: New Opportunities for a Time-Tested Protein Engineering System.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Climbing Up and Down Binding Landscapes through Deep Mutational Scanning of Three Homologous Protein-Protein Complexes.Journal of the American Chemical Society · 2021Article
- PacBio sequencing output increased through uniform and directional fivefold concatenation.Scientific reports · 2021Article
- Applications of Deep Mutational Scanning in Virology.Viruses · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The advent of next-generation sequencing (NGS) has revolutionized protein science, and the development of complementary methods enabling NGS-driven protein engineering have followed. In general, these experiments address the functional consequences of thousands of protein variants in a massively parallel manner using genotype-phenotype linked high-throughput functional screens followed by DNA counting via deep sequencing. We highlight the use of information rich datasets to engineer protein molecular recognition. Examples include the creation of multiple dual-affinity Fabs targeting structurally dissimilar epitopes and engineering of a broad germline-targeted anti-HIV-1 immunogen. Additionally, we highlight the generation of enzyme fitness landscapes for conducting fundamental studies of protein behavior and evolution. We conclude with discussion of technological advances.
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What OpenQuestion holds
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 OpenQuestion graph.