Conserved amino acid networks involved in antibody variable domain interactions

氨基酸 抗体 保守序列 计算生物学 肽序列 功能(生物学) 生物 领域(数学分析) 氨基酸残基 遗传学 化学 生物化学 立体化学 基因 数学 数学分析
作者
Norman C. Wang,William F. Smith,Brian Miller,Dikran Aivazian,Alexey A. Lugovskoy,Mitchell E. Reff,Scott Glaser,Lisa J. Croner,Stephen J. Demarest
出处
期刊:Proteins [Wiley]
卷期号:76 (1): 99-114 被引量:47
标识
DOI:10.1002/prot.22319
摘要

Engineered antibodies are a large and growing class of protein therapeutics comprising both marketed products and many molecules in clinical trials in various disease indications. We investigated naturally conserved networks of amino acids that support antibody V(H) and V(L) function, with the goal of generating information to assist in the engineering of robust antibody or antibody-like therapeutics. We generated a large and diverse sequence alignment of V-class Ig-folds, of which V(H) and V(L) domains are family members. To identify conserved amino acid networks, covariations between residues at all possible position pairs were quantified as correlation coefficients (phi-values). We provide rosters of the key conserved amino acid pairs in antibody V(H) and V(L) domains, for reference and use by the antibody research community. The majority of the most strongly conserved amino acid pairs in V(H) and V(L) are at or adjacent to the V(H)-V(L) interface suggesting that the ability to heterodimerize is a constraining feature of antibody evolution. For the V(H) domain, but not the V(L) domain, residue pairs at the variable-constant domain interface (V(H)-C(H)1 interface) are also strongly conserved. The same network of conserved V(H) positions involved in interactions with both the V(L) and C(H)1 domains is found in camelid V(HH) domains, which have evolved to lack interactions with V(L) and C(H)1 domains in their mature structures; however, the amino acids at these positions are different, reflecting their different function. Overall, the data describe naturally occurring amino acid networks in antibody Fv regions that can be referenced when designing antibodies or antibody-like fragments with the goal of improving their biophysical properties.
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
1秒前
嗯对完成签到,获得积分10
1秒前
平淡菠萝发布了新的文献求助10
1秒前
陈秀娟完成签到,获得积分10
2秒前
2秒前
赘婿应助冰阔落采纳,获得10
3秒前
3秒前
wqw完成签到,获得积分20
3秒前
chf发布了新的文献求助10
3秒前
云间客发布了新的文献求助20
3秒前
4秒前
陶醉的谷丝完成签到 ,获得积分10
4秒前
一忽儿左发布了新的文献求助10
4秒前
李健应助清新的代芹采纳,获得10
5秒前
Murray关注了科研通微信公众号
5秒前
5秒前
5秒前
复杂完成签到,获得积分10
5秒前
showitt完成签到,获得积分10
6秒前
6秒前
万能图书馆应助Chen采纳,获得10
7秒前
7秒前
7秒前
美丽的周完成签到,获得积分10
7秒前
羞涩的孙应助li采纳,获得10
7秒前
7秒前
Whim应助胡图图采纳,获得20
8秒前
知秋发布了新的文献求助10
8秒前
8秒前
wangxia完成签到 ,获得积分10
9秒前
善学以致用应助Lucky采纳,获得10
9秒前
weiyiiiiii发布了新的文献求助10
9秒前
小马甲应助chf采纳,获得10
9秒前
复杂发布了新的文献求助10
10秒前
麦子应助Greyson采纳,获得10
10秒前
科研通AI6.1应助阴天快乐采纳,获得10
10秒前
前世的尘发布了新的文献求助30
10秒前
qian发布了新的文献求助10
10秒前
彭于晏应助Docsiwen采纳,获得10
11秒前
11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
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Netter collection Volume 9 Part I upper digestive tract及Part III Liver Biliary Pancreas 3rd 2024 的超高清PDF,大小约几百兆,不是几十兆版本的 1050
Current concept for improving treatment of prostate cancer based on combination of LH-RH agonists with other agents 1000
Research Handbook on the Law of the Sea 1000
Contemporary Debates in Epistemology (3rd Edition) 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6169109
求助须知:如何正确求助?哪些是违规求助? 7996638
关于积分的说明 16631871
捐赠科研通 5274159
什么是DOI,文献DOI怎么找? 2813641
邀请新用户注册赠送积分活动 1793373
关于科研通互助平台的介绍 1659311