KAUST Grant NumberKUK-I1-012-43
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AbstractSUMMARY: Antibodies 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: firstname.lastname@example.org, email@example.com SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
CitationOlimpieri PP, Marcatili P, Tramontano A (2014) Tabhu: tools for antibody humanization. Bioinformatics 31: 434–435. Available: http://dx.doi.org/10.1093/bioinformatics/btu667.
SponsorsKAUST Award No. KUK-I1-012-43 made by King Abdullah University of Science and Technology (KAUST), FIRB RBIN06E9Z8_005, PRIN 20108XYHJS and the Epigenomics Flagship Project - EPIGEN.
PublisherOxford University Press (OUP)
PubMed Central IDPMC4308665
CollectionsPublications Acknowledging KAUST Support
Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact firstname.lastname@example.org
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