Antibody informatics for drug discovery
Autor: | Kazuyoshi Ikeda, Kazuhisa Tsunoyama, Dominic Clark, John P. Overington, Hiroki Shirai, Paolo Marcatili, Catherine Prades, Randi Vita, Jianqing Xu, Hirayama Kazunori, Marie-Paule Lefranc, Shinji Soga, Bojana Popovic |
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Přispěvatelé: | Astellas Pharma Inc (Ibaraki), Sanofi-Aventis R&D, SANOFI Recherche, La Jolla Institute for Immunology [La Jolla, CA, États-Unis], Technical University of Denmark [Lyngby] (DTU), MedImmune, European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, Institut de génétique humaine (IGH), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'ImmunoGénétique Moléculaire (LIGM) |
Jazyk: | angličtina |
Rok vydání: | 2014 |
Předmět: |
0303 health sciences
[SDV.GEN]Life Sciences [q-bio]/Genetics biology Drug discovery Biophysics Computational biology Bioinformatics Biochemistry [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] Epitope Analytical Chemistry 03 medical and health sciences 0302 clinical medicine Antigen 030220 oncology & carcinogenesis Informatics biology.protein Antibody Molecular Biology ComputingMilieux_MISCELLANEOUS 030304 developmental biology |
Zdroj: | BBA-Biochimica et Biophysica Acta BBA-Biochimica et Biophysica Acta, Elsevier, 2014, 1844 (11), pp.2002-2015. ⟨10.1016/j.bbapap.2014.07.006⟩ |
ISSN: | 0006-3002 |
DOI: | 10.1016/j.bbapap.2014.07.006⟩ |
Popis: | More and more antibody therapeutics are being approved every year, mainly due to their high efficacy and antigen selectivity. However, it is still difficult to identify the antigen, and thereby the function, of an antibody if no other information is available. There are obstacles inherent to the antibody science in every project in antibody drug discovery. Recent experimental technologies allow for the rapid generation of large-scale data on antibody sequences, affinity, potency, structures, and biological functions; this should accelerate drug discovery research. Therefore, a robust bioinformatic infrastructure for these large data sets has become necessary. In this article, we first identify and discuss the typical obstacles faced during the antibody drug discovery process. We then summarize the current status of three sub-fields of antibody informatics as follows: (i) recent progress in technologies for antibody rational design using computational approaches to affinity and stability improvement, as well as ab-initio and homology-based antibody modeling; (ii) resources for antibody sequences, structures, and immune epitopes and open drug discovery resources for development of antibody drugs; and (iii) antibody numbering and IMGT. Here, we review "antibody informatics," which may integrate the above three fields so that bridging the gaps between industrial needs and academic solutions can be accelerated. This article is part of a Special Issue entitled: Recent advances in molecular engineering of antibody. |
Databáze: | OpenAIRE |
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