ArticleViruses2020
Application of Next Generation Sequencing (NGS) in Phage Displayed Peptide Selection to Support the Identification of Arsenic-Binding Motifs.
Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 33 citations in OpenAlex.
- Phage Display as a Promising Platform for Peptide Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Identification and Expression of Immunogenic Mimotopes ofVaccines · 2026Article
- Phage Display Technology: Design, Library Construction, and Panning Strategies for Antibody Development.Biomolecules & therapeutics · 2026Review
- Review
- A comparative analysis of sequence composition in different lots of a phage display peptide library during amplification.Virology journal · 2025Article
- On the origin of non-specific binders isolated in the selection of phage display peptide libraries.Frontiers in microbiology · 2025Review
- Application of phage surface display for the identification of EuFrontiers in bioengineering and biotechnology · 2025Article
- Next Generation SICLOPPS Screening for the Identification of Inhibitors of the HIF-1α/HIF-1β Protein-Protein Interaction.ACS chemical biology · 2024Article
- Using NGS to Uncover the Corruption of a Peptide Phage Display Selection.Current issues in molecular biology · 2024Article
- In vivo phage display identifies novel peptides for cardiac targeting.Scientific reports · 2024Article
- Arsenic toxicity: sources, pathophysiology and mechanism.Toxicology research · 2024Review
- Fundamentals of bio-based technologies for selective metal recovery from bio-leachates and liquid waste streams.Frontiers in bioengineering and biotechnology · 2024Review
- Phage libraries screening on P53: Yield improvement by zinc and a new parasites-integrating analysis.PloS one · 2024Article
- Combination of Experimental and Bioinformatic Approaches for Identification of Immunologically Relevant Protein-Peptide Interactions.Biomolecules · 2023Article
- Comparative Evaluation of Reproducibility of Phage-Displayed Peptide Selections and NGS Data, through High-Fidelity Mapping of Massive Peptide Repertoires.International journal of molecular sciences · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Next generation sequencing (NGS) in combination with phage surface display (PSD) are powerful tools in the newly equipped molecular biology toolbox for the identification of specific target binding biomolecules. Application of PSD led to the discovery of manifold ligands in clinical and material research. However, limitations of traditional phage display hinder the identification process. Growth-based library biases and target-unrelated peptides often result in the dominance of parasitic sequences and the collapse of library diversity. This study describes the effective enrichment of specific peptide motifs potentially binding to arsenic as proof-of-concept using the combination of PSD and NGS. Arsenic is an environmental toxin, which is applied in various semiconductors as gallium arsenide and selective recovery of this element is crucial for recycling and remediation. The development of biomolecules as specific arsenic-binding sorbents is a new approach for its recovery. Usage of NGS for all biopanning fractions allowed for evaluation of motif enrichment, in-depth insight into the selection process and the discrimination of biopanning artefacts, e.g., the amplification-induced library-wide reduction in hydrophobic amino acid proportion. Application of bioinformatics tools led to the identification of an SxHS and a carboxy-terminal QxQ motif, which are potentially involved in the binding of arsenic. To the best of our knowledge, this is the first report of PSD combined with NGS of all relevant biopanning fractions.
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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 OpenQuestion graph.