Adaption of human antibody λ and κ light chain architectures to CDR repertoires

作者
Rob van der Kant,Joschka Bauer,Anne R. Karow‐Zwick,Sebastian Kube,Patrick Garidel,Michaela Blech,Frédéric Rousseau,Joost Schymkowitz
出处
期刊:Protein Engineering Design & Selection [Oxford University Press]
卷期号:32 (3): 109-127 被引量:21
标识
DOI:10.1093/protein/gzz012
摘要

Monoclonal antibodies bind with high specificity to a wide range of diverse antigens, primarily mediated by their hypervariable complementarity determining regions (CDRs). The defined antigen binding loops are supported by the structurally conserved β-sandwich framework of the light chain (LC) and heavy chain (HC) variable regions. The LC genes are encoded by two separate loci, subdividing the entity of antibodies into kappa (LCκ) and lambda (LCλ) isotypes that exhibit distinct sequence and conformational preferences. In this work, a diverse set of techniques were employed including machine learning, force field analysis, statistical coupling analysis and mutual information analysis of a non-redundant antibody structure collection. Thereby, it was revealed how subtle changes between the structures of LCκ and LCλ isotypes increase the diversity of antibodies, extending the predetermined restrictions of the general antibody fold and expanding the diversity of antigen binding. Interestingly, it was found that the characteristic framework scaffolds of κ and λ are stabilized by diverse amino acid clusters that determine the interplay between the respective fold and the embedded CDR loops. In conclusion, this work reveals how antibodies use the remarkable plasticity of the beta-sandwich Ig fold to incorporate a large diversity of CDR loops.

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
abcd完成签到,获得积分20
刚刚
科研通AI6.2应助林洁采纳,获得10
刚刚
黎奈发布了新的文献求助10
刚刚
1秒前
1秒前
2秒前
2秒前
2秒前
tttt发布了新的文献求助10
3秒前
搜集达人应助Nanoparticle采纳,获得10
3秒前
3秒前
wanci应助干啥啥成功采纳,获得10
4秒前
今后应助xiaoyao采纳,获得10
5秒前
5秒前
5秒前
寒梅发布了新的文献求助10
6秒前
超级水池完成签到,获得积分10
6秒前
6秒前
6秒前
6秒前
6秒前
7秒前
gqy完成签到,获得积分10
7秒前
7秒前
乘风发布了新的文献求助10
7秒前
妮妮发布了新的文献求助10
9秒前
白薇发布了新的文献求助10
10秒前
787878发布了新的文献求助10
10秒前
10秒前
lilongcheng发布了新的文献求助10
10秒前
mingming发布了新的文献求助10
11秒前
Nanoparticle完成签到,获得积分20
11秒前
11秒前
安详忆梅发布了新的文献求助10
12秒前
万能图书馆应助ly采纳,获得10
12秒前
12秒前
sywkamw发布了新的文献求助30
12秒前
吴七七完成签到,获得积分10
12秒前
luheian发布了新的文献求助10
13秒前
高分求助中
(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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7624552
求助须知:如何正确求助?哪些是违规求助? 9199667
关于积分的说明 19723259
捐赠科研通 7195607
什么是DOI,文献DOI怎么找? 3273562
关于科研通互助平台的介绍 2435728
邀请新用户注册赠送积分活动 2269409