ReviewCurrent opinion in structural biology2015
Deep sequencing in library selection projects: what insight does it bring?
Review in Current opinion in structural biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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
40 citing papers in PubMed.
- Decoding adaptive immunity: advanced strategies in T and B cell repertoire analysis.Journal of translational medicine · 2026Review
- Discovery of Antibodies Against Endemic Coronaviruses with NGS-Based Human Fab Phage Display Platform.Antibodies (Basel, Switzerland) · 2025Article
- Revolutionizing Synthetic Antibody Design: Harnessing Artificial Intelligence and Deep Sequencing Big Data for Unprecedented Advances.Molecular biotechnology · 2025Review
- Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability.Communications biology · 2024Article
- Development of a new affinity maturation protocol for the construction of an internalizing anti-nucleolin antibody library.Scientific reports · 2024Article
- Article
- The rise of big data: deep sequencing-driven computational methods are transforming the landscape of synthetic antibody design.Journal of biomedical science · 2024Review
- Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing data.Bioinformatics (Oxford, England) · 2023Article
- Accurate profiling of full-length Fv in highly homologous antibody libraries using UMI tagged short reads.Nucleic acids research · 2023Article
- Concerted Antibody and Antigen Discovery by Differential Whole-cell Phage Display Selections and Multi-omic Target Deconvolution.Journal of molecular biology · 2023Article
- Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space.Nature communications · 2022Article
- Generation of synthetic antibody fragments with optimal complementarity determining region lengths for Notch-1 recognition.Frontiers in microbiology · 2022Article
- A single donor is sufficient to produce a highly functional in vitro antibody library.Communications biology · 2021Article
- Rationalizing Random Walks: Replicating Protective Antibody Trajectories.Trends in immunology · 2021Review
- C-Terminal Tag Location Hampers in Vitro Profiling of OGT Peptide Substrates by mRNA Display.Chembiochem : a European journal of chemical biology · 2021Article
- Review
- Construction of Antibody Phage Libraries and Their Application in Veterinary Immunovirology.Antibodies (Basel, Switzerland) · 2020Review
- Article
- Recombinant Antibodies against Mycolactone.Toxins · 2019Article
- Next-generation sequencing-guided identification and reconstruction of antibody CDR combinations from phage selection outputs.Nucleic acids research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
High throughput sequencing is poised to change all aspects of the way antibodies and other binders are discovered and engineered. Millions of available sequence reads provide an unprecedented sampling depth able to guide the design and construction of effective, high quality naïve libraries containing tens of billions of unique molecules. Furthermore, during selections, high throughput sequencing enables quantitative tracing of enriched clones and position-specific guidance to amino acid variation under positive selection during antibody engineering. Successful application of the technologies relies on specific PCR reagent design, correct sequencing platform selection, and effective use of computational tools and statistical measures to remove error, identify antibodies, estimate diversity, and extract signatures of selection from the clone down to individual structural positions. Here we review these considerations and discuss some of the remaining challenges to the widespread adoption of the technology.
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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.