Understanding the Significance and Implications of Antibody Numbering and Antigen-Binding Surface/Residue Definition

编号 抗体 计算生物学 单克隆抗体 抗原 互补决定区 免疫球蛋白轻链 生物 计算机科学 免疫学 算法
作者
Mathieu Dondelinger,Patrice Filée,E. Sauvage,Birgit Quinting,Serge Muyldermans,Moreno Galleni,Marylène Vandevenne
出处
期刊:Frontiers in Immunology [Frontiers Media SA]
卷期号:9 被引量:97
标识
DOI:10.3389/fimmu.2018.02278
摘要

Monoclonal antibodies are playing an increasing role in both human and animal health. Different strategies of protein and chemical engineering, including humanization techniques of non-human antibodies were applied successfully to optimize clinical performances of antibodies. Despite the emergence of techniques allowing the development of fully human antibodies such as transgenic Xeno-mice, antibody humanization remains a standard procedure for therapeutic antibodies. An important prerequisite for antibody humanization requires standardized numbering methods to define precisely complementary determining regions (CDR), frameworks and residues from the light and heavy chains that affect the binding affinity and/or specificity of the antibody-antigen interaction. The recently generated deep-sequencing data and the increasing number of solved three-dimensional structures of antibodies from human and non-human origins have led to the emergence of numerous databases. However, these different databases use different numbering conventions and CDR definitions. In addition, the large fluctuation of the variable chain lengths, especially in CDR3 of heavy chains (CDRH3), hardly complicates the comparison and analysis of antibody sequences and the identification of the antigen binding residues. This review compares and discusses the different numbering schemes and "CDR" definition that were established up to date. Furthermore, it summarizes concepts and strategies used for numbering residues of antibodies and CDR residues identification. Finally, it discusses the importance of specific sets of residues in the binding affinity and/or specificity of immunoglobulins.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
刚刚
充电宝应助科研通管家采纳,获得10
刚刚
鱿鱼发布了新的文献求助10
刚刚
扬帆远航应助科研通管家采纳,获得10
刚刚
刚刚
无极微光应助科研通管家采纳,获得20
刚刚
烟花应助科研通管家采纳,获得10
刚刚
李子昂发布了新的文献求助10
刚刚
扬帆远航应助科研通管家采纳,获得10
刚刚
shisui应助科研通管家采纳,获得30
刚刚
科研通AI6应助科研通管家采纳,获得10
刚刚
Ava应助科研通管家采纳,获得10
刚刚
科研通AI6应助科研通管家采纳,获得10
刚刚
小蘑菇应助科研通管家采纳,获得10
刚刚
shisui应助科研通管家采纳,获得30
刚刚
哈哈完成签到,获得积分10
1秒前
大模型应助ivan采纳,获得10
1秒前
2秒前
vera完成签到,获得积分10
2秒前
4秒前
嘿嘿发布了新的文献求助10
4秒前
4秒前
riwin7完成签到 ,获得积分10
4秒前
量子星尘发布了新的文献求助10
5秒前
5秒前
蜉蝣完成签到 ,获得积分10
5秒前
sunset发布了新的文献求助10
5秒前
6秒前
乐乐应助多情新蕾采纳,获得10
6秒前
pluto应助VK2801采纳,获得10
6秒前
完美世界应助浪子采纳,获得10
6秒前
Virginkiller1984完成签到 ,获得积分10
7秒前
星辰大海应助duwenzhao2026采纳,获得10
7秒前
8秒前
丁凡完成签到,获得积分10
8秒前
小马发布了新的文献求助10
10秒前
天天快乐应助yuyu877采纳,获得10
10秒前
ianlaikk发布了新的文献求助10
10秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 40000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
„Semitische Wissenschaften“? 1510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5750756
求助须知:如何正确求助?哪些是违规求助? 5465712
关于积分的说明 15367939
捐赠科研通 4889850
什么是DOI,文献DOI怎么找? 2629420
邀请新用户注册赠送积分活动 1577683
关于科研通互助平台的介绍 1534066