ArticleBioinformatics (Oxford, England)2015
Tabhu: tools for antibody humanization.
Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Humanized Antibodies Targeting Ectodomains of IL-6R and GP130 Suppress IL-6/STAT3 Signalling and Tumour Growth in Breast Cancer Models.Journal of cellular and molecular medicine · 2026Article
- HuAbDiffusion: a discrete language diffusion model used for antibody humanization.Briefings in bioinformatics · 2025Article
- Development and characterization of a low-affinity humanized CD19 chimeric antigen receptor for B-cell malignancies.Blood neoplasia · 2024Article
- Article
- Monoclonal antibodies: From magic bullet to precision weapon.Molecular biomedicine · 2024Review
- Development and evaluation of neutralizing antibodies for cross-protection against West Nile virus and Japanese encephalitis virus.Infectious medicine · 2023Article
- Production in Bacteria and Characterization of Engineered Humanized Fab Fragment against the Nodal Protein.Pharmaceuticals (Basel, Switzerland) · 2023Article
- How can we discover developable antibody-based biotherapeutics?Frontiers in molecular biosciences · 2023Review
- Development of therapeutic antibodies for the treatment of diseases.Molecular biomedicine · 2022Review
- A universal in silico V(D)J recombination strategy for developing humanized monoclonal antibodies.Journal of nanobiotechnology · 2022Article
- Redesigning an antibody H3 loop by virtual screening of a small library of human germline-derived sequences.Scientific reports · 2021Article
- Optimization of therapeutic antibodies.Antibody therapeutics · 2021Review
- Computational approaches to therapeutic antibody design: established methods and emerging trends.Briefings in bioinformatics · 2020Review
- Development of therapeutic antibodies for the treatment of diseases.Journal of biomedical science · 2020Review
- AbRSA: A robust tool for antibody numbering.Protein science : a publication of the Protein Society · 2019Article
- Brief introduction of current technologies in isolation of broadly neutralizing HIV-1 antibodies.Virus research · 2018Review
- Identifying the Epitope Regions of Therapeutic Antibodies Based on Structure Descriptors.International journal of molecular sciences · 2017Article
- Design and engineering of deimmunized biotherapeutics.Current opinion in structural biology · 2016Review
- VH-VL orientation prediction for antibody humanization candidate selection: A case study.mAbs · 2016Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryAntibodies are rapidly becoming essential tools in the clinical practice, given their ability to recognize their cognate antigens with high specificity and affinity, and a high yield at reasonable costs in model animals. Unfortunately, when administered to human patients, xenogeneic antibodies can elicit unwanted and dangerous immunogenic responses. Antibody humanization methods are designed to produce molecules with a better safety profile still maintaining their ability to bind the antigen. This can be accomplished by grafting the non-human regions determining the antigen specificity into a suitable human template. Unfortunately, this procedure may results in a partial or complete loss of affinity of the grafted molecule that can be restored by back-mutating some of the residues of human origin to the corresponding murine ones. This trial-and-error procedure is hard and involves expensive and time-consuming experiments. Here we present tools for antibody humanization (Tabhu) a web server for antibody humanization. Tabhu includes tools for human template selection, grafting, back-mutation evaluation, antibody modelling and structural analysis, helping the user in all the critical steps of the humanization experiment protocol. AVAILABILITY: http://www.biocomputing.it/tabhu CONTACT: anna.tramontano@uniroma1.it, pierpaolo.olimpieri@uniroma1.it SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Indexed as
Identifiers
What OpenQuestion holds
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.