Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Humatch - fast, gene-specific joint humanisation of antibody heavy and light chains

29 Nov 2024

Abstract excerpt

Antibodies are a popular and powerful class of therapeutic due to their ability to exhibit high affinity and specificity to target proteins. However, the majority of antibody therapeutics are not genetically human, with initial therapeutic designs typically obtained from animal models. Humanization of these precursors is essential to reduce immunogenic risks when administered to humans.Here, we present Humatch, a...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Chronic Lymphocytic Leukemia Research
Share to Glycosylation and Glycoproteins Research
Share to Monoclonal and Polyclonal Antibodies Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39611407
DOI: 10.1080/19420862.2024.2434121

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Humatch - fast, gene-specific joint humanisation of antibody heavy and light chainsPMID 39611407Read ↗

Humatch - fast, gene-specific joint humanisation of antibody heavy and light chainsSemantic proximity Read ↗

BioPhi: A platform for antibody design, humanization and humanness evaluation based on natural antibody repertoires and deep learningSemantic proximity Read ↗

Deep learning-based design and experimental validation of a medicine-like human antibody librarySemantic proximity Read ↗

Better antibodies engineered with a GLIMPSE of human dataSemantic proximity Read ↗

AbNatiV: VQ-VAE-based assessment of antibody and nanobody nativeness for hit selection, humanisation, and engineeringSemantic proximity Read ↗

Humanization of antibodies using a machine learning approach on large-scale repertoire dataSemantic proximity Read ↗

<i>In silico</i> design of stable single-domain antibodies with high affinitySemantic proximity Read ↗

AI-Guided Precision in Antibody Humanization: Structural Modeling to Minimize Immunogenicity and Preserve EfficacySemantic proximity Read ↗

Efficient evolution of human antibodies from general protein language models and sequence information aloneSemantic proximity Read ↗

Conserved heavy/light contacts and germline preferences revealed by a large-scale analysis of natively paired human antibody sequences and structural dataSemantic proximity Read ↗

DoggifAI: a transformer based approach for antibody caninisationSemantic proximity Read ↗

p-IgGen: A Paired Antibody Generative Language ModelSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.