ArticleScientific reports2018
Humanization of Antibodies using a Statistical Inference Approach.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- A modular nanoparticle display strategy for varicella-zoster virus gE based on a licensed protein scaffold.PLoS pathogens · 2026Article
- T-SCAPE: T cell immunogenicity scoring via cross-domain aided predictive engine.Science advances · 2025Article
- HuAbDiffusion: a discrete language diffusion model used for antibody humanization.Briefings in bioinformatics · 2025Article
- Development and in vitro characterization of humanized antibodies for blocking human TRPM4 channel.Scientific reports · 2025Article
- Antibody-Drug Conjugates (ADCs): current and future biopharmaceuticals.Journal of hematology & oncology · 2025Review
- 50 Years of Antibody Numbering Schemes: A Statistical and Structural Evaluation Reveals Key Differences and Limitations.Antibodies (Basel, Switzerland) · 2024Article
- Immunogenicity risk assessment and mitigation for engineered antibody and protein therapeutics.Nature reviews. Drug discovery · 2024Review
- Article
- The rise of big data: deep sequencing-driven computational methods are transforming the landscape of synthetic antibody design.Journal of biomedical science · 2024Review
- Prospects for the computational humanization of antibodies and nanobodies.Frontiers in immunology · 2024Review
- Generating interacting protein sequences using domain-to-domain translation.Bioinformatics (Oxford, England) · 2023Article
- Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery.Briefings in bioinformatics · 2022Review
- A new humanized antibody is effective against pathogenic fungi in vitro.Scientific reports · 2021Article
- Extending traditional antibody therapies: Novel discoveries in immunotherapy and clinical applications.Molecular therapy oncolytics · 2021Review
- Computational approaches to therapeutic antibody design: established methods and emerging trends.Briefings in bioinformatics · 2020Review
- Harnessing the Complete Repertoire of Conventional Dendritic Cell Functions for Cancer Immunotherapy.Pharmaceutics · 2020Review
- Article
- Quantifying the nativeness of antibody sequences using long short-term memory networks.Protein engineering, design & selection : PEDS · 2019Article
- Antibody Structure and Function: The Basis for Engineering Therapeutics.Antibodies (Basel, Switzerland) · 2019Review
- AbRSA: A robust tool for antibody numbering.Protein science : a publication of the Protein Society · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibody humanization is a key step in the preclinical phase of the development of therapeutic antibodies, originally developed and tested in non-human models (most typically, in mouse). The standard technique of Complementarity-Determining Regions (CDR) grafting into human Framework Regions of germline sequences has some important drawbacks, in that the resulting sequences often need further back-mutations to ensure functionality and/or stability. Here we propose a new method to characterize the statistical distribution of the sequences of the variable regions of human antibodies, that takes into account phenotypical correlations between pairs of residues, both within and between chains. We define a "humanness score" of a sequence, comparing its performance in distinguishing human from murine sequences, with that of some alternative scores in the literature. We also compare the score with the experimental immunogenicity of clinically used antibodies. Finally, we use the humanness score as an optimization function and perform a search in the sequence space, starting from different murine sequences and keeping the CDR regions unchanged. Our results show that our humanness score outperforms other methods in sequence classification, and the optimization protocol is able to generate humanized sequences that are recognized as human by standard homology modelling tools.
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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.