ArticleJournal of molecular biology2015
SORTCERY-A High-Throughput Method to Affinity Rank Peptide Ligands.
Article in Journal of molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 61 citations in OpenAlex.
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- Machine learning to predict continuous protein properties from binary cell sorting data and map unseen sequence space.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Engineering minimal tissue inhibitors of metalloproteinase targeting MMPs via gene shuffling and yeast surface display.Protein science : a publication of the Protein Society · 2023Article
- Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing data.Bioinformatics (Oxford, England) · 2023Article
- Protein engineering via sequence-performance mapping.Cell systems · 2023Review
- Mutational scan inferred binding energetics and structure in intrinsically disordered protein CcdA.Protein science : a publication of the Protein Society · 2023Article
- Titrating Avidity of Yeast-Displayed Proteins Using a Transcriptional Regulator.ACS synthetic biology · 2023Article
- Rational design of Harakiri (HRK)-derived constrained peptides as BCL-xChemical communications (Cambridge, England) · 2023Article
- Mutational fitness landscape and drug resistance.Current opinion in structural biology · 2023Review
- Ter-Seq: A high-throughput method to stabilize transient ternary complexes and measure associated kinetics.Protein science : a publication of the Protein Society · 2023Article
- Genetically Encoded Whole Cell Biosensor for Drug Discovery of HIF-1 Interaction Inhibitors.ACS synthetic biology · 2022Article
- Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space.Nature communications · 2022Article
- Mutational fitness landscapes reveal genetic and structural improvement pathways for a vaccine-elicited HIV-1 broadly neutralizing antibody.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Functional Profiling of Antibody Immune Repertoires in Convalescent Zika Virus Disease Patients.Frontiers in immunology · 2021Article
- The covalent SNAP tag for protein display quantification and low-pH protein engineering.Journal of biotechnology · 2020Article
- Generating quantitative binding landscapes through fractional binding selections combined with deep sequencing and data normalization.Nature communications · 2020Article
- Parallelized identification of on- and off-target protein interactions.Molecular systems design & engineering · 2020Article
- MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect.Genome biology · 2019Article
- Molecular evolution of peptides by yeast surface display technology.MedChemComm · 2019Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Uncovering the relationships between peptide and protein sequences and binding properties is critical for successfully predicting, re-designing and inhibiting protein-protein interactions. Systematically collected data that link protein sequence to binding are valuable for elucidating determinants of protein interaction but are rare in the literature because such data are experimentally difficult to generate. Here we describe SORTCERY, a high-throughput method that we have used to rank hundreds of yeast-displayed peptides according to their affinities for a target interaction partner. The procedure involves fluorescence-activated cell sorting of a library, deep sequencing of sorted pools and downstream computational analysis. We have developed theoretical models and statistical tools that assist in planning these stages. We demonstrate SORTCERY's utility by ranking 1026 BH3 (Bcl-2 homology 3) peptides with respect to their affinities for the anti-apoptotic protein Bcl-xL. Our results are in striking agreement with measured affinities for 19 individual peptides with dissociation constants ranging from 0.1 to 60nM. High-resolution ranking can be used to improve our understanding of sequence-function relationships and to support the development of computational models for predicting and designing novel interactions.
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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.