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Deep learning enables therapeutic antibody optimization in mammalian cells by deciphering high-dimensional protein sequence space
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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ggplot2: Elegant Graphics for Data Analysis
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Innovation by homologous recombination
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Development of a semi-automated high throughput transient transfection system
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Analyzing the “Degree of Humanness” of Antibody Sequences
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The CamSol Method of Rational Design of Protein Mutants with Enhanced Solubility
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Comprehensive Functional Maps of the Antigen-binding Site of an Anti-ErbB2 Antibody Obtained with Shotgun Scanning Mutagenesis
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Flex ddG: Rosetta Ensemble-Based Estimation of Changes in Protein–Protein Binding Affinity upon Mutation
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Structure of the extracellular region of HER2 alone and in complex with the Herceptin Fab
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Immunogenomic engineering of a plug-and-(dis)play hybridoma platform
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High-resolution mapping of protein sequence-function relationships
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MiXCR: software for comprehensive adaptive immunity profiling
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Antidrug Antibodies in Patients Treated with Alirocumab
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Augmented Binary Substitution: Single-pass CDR germ-lining and stabilization of therapeutic antibodies
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Five computational developability guidelines for therapeutic antibody profiling
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SAbPred: a structure-based antibody prediction server
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High-throughput antibody engineering in mammalian cells by CRISPR/Cas9-mediated homology-directed mutagenesis
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Net charge of antibody complementarity-determining regions is a key predictor of specificity
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Deciphering interaction fingerprints from protein molecular surfaces
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Deep learning of the regulatory grammar of yeast 5′ untranslated regions from 500,000 random sequences
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ggplot2: Elegant Graphics for Data Analysis by WICKHAM, H.
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Avidity-based binding to HER2 results in selective killing of HER2-overexpressing cells by anti-HER2/CD3
inferredcites →https://doi.org/10.1145/2945292.2945324openalex-snapshot
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rstoolbox - a Python library for large-scale analysis of computational protein design data and structural bioinformatics
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RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite
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Comprehensive Evaluation and Optimization of Amplicon Library Preparation Methods for High-Throughput Antibody Sequencing
inferredcites →https://doi.org/10.1371/journal.pone.0129125openalex-snapshot
Effective Optimization of Antibody Affinity by Phage Display Integrated with High-Throughput DNA Synthesis and Sequencing Technologies
inferredcites →https://doi.org/10.15252/msb.20156651openalex-snapshot
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Machine Learning Feature Selection for Predicting High Concentration Therapeutic Antibody Aggregation
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Engineering a Histone Reader Protein by Combining Directed Evolution, Sequencing, and Neural Network Based Ordinal Regression
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CLADE 2.0: Evolution-Driven Cluster Learning-Assisted Directed Evolution
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Restricted epitope specificity determined by variable region germline segment pairing in rodent antibody repertoires
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inferred← citeshttps://doi.org/10.1080/19420862.2021.1873478openalex-snapshot
Ab-Ligity: identifying sequence-dissimilar antibodies that bind to the same epitope
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Data mining patented antibody sequences
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