Chemical technology principles for selective bioconjugation of proteins and antibodies

生物结合 化学 抗体 纳米技术 计算生物学 组合化学 材料科学 免疫学 生物
作者
Preeti Chauhan,V. Ragendu,Mohan Kumar,Rajib Molla,Surya Dev Mishra,Sneha Basa,Vishal Rai
出处
期刊:Chemical Society Reviews [Royal Society of Chemistry]
卷期号:53 (1): 380-449 被引量:43
标识
DOI:10.1039/d3cs00715d
摘要

Proteins are multifunctional large organic compounds that constitute an essential component of a living system. Hence, control over their bioconjugation impacts science at the chemistry-biology-medicine interface. A chemical toolbox for their precision engineering can boost healthcare and open a gateway for directed or precision therapeutics. Such a chemical toolbox remained elusive for a long time due to the complexity presented by the large pool of functional groups. The precise single-site modification of a protein requires a method to address a combination of selectivity attributes. This review focuses on guiding principles that can segregate them to simplify the task for a chemical method. Such a disintegration systematically employs a multi-step chemical transformation to deconvolute the selectivity challenges. It constitutes a disintegrate (DIN) theory that offers additional control parameters for tuning precision in protein bioconjugation. This review outlines the selectivity hurdles faced by chemical methods. It elaborates on the developments in the perspective of DIN theory to demonstrate simultaneous regulation of reactivity, chemoselectivity, site-selectivity, modularity, residue specificity, and protein specificity. It discusses the progress of such methods to construct protein and antibody conjugates for biologics, including antibody-fluorophore and antibody-drug conjugates (AFCs and ADCs). It also briefs how this knowledge can assist in developing small molecule-based covalent inhibitors. In the process, it highlights an opportunity for hypothesis-driven routes to accelerate discoveries of selective methods and establish new targetome in the precision engineering of proteins and antibodies.
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
xiyue发布了新的文献求助10
1秒前
研友_VZG7GZ应助GPTea采纳,获得10
1秒前
YANG发布了新的文献求助10
2秒前
大白发布了新的文献求助10
2秒前
2秒前
2秒前
stupid发布了新的文献求助10
3秒前
sdawd发布了新的文献求助20
3秒前
4秒前
Hakuya完成签到 ,获得积分10
4秒前
酒醉梦成真完成签到 ,获得积分10
4秒前
吴壮发布了新的文献求助10
5秒前
taizaizi完成签到,获得积分20
5秒前
5秒前
Oo发布了新的文献求助10
6秒前
淡淡怜容发布了新的文献求助10
6秒前
无花果应助研友_Z1eDgZ采纳,获得10
7秒前
sun完成签到,获得积分10
7秒前
张欢馨应助王小明采纳,获得10
8秒前
甜蜜的手套应助江河采纳,获得10
8秒前
holland完成签到 ,获得积分0
8秒前
无花果应助zzk采纳,获得10
9秒前
xxxzy完成签到,获得积分10
9秒前
02发布了新的文献求助10
10秒前
萤火微光完成签到,获得积分10
11秒前
11秒前
Oo关闭了Oo文献求助
13秒前
13秒前
13秒前
超级发布了新的文献求助10
13秒前
高高的戎发布了新的文献求助30
14秒前
14秒前
华仔应助stupid采纳,获得10
15秒前
15秒前
依依发布了新的文献求助10
16秒前
和谐的松鼠完成签到,获得积分10
16秒前
16秒前
kdl完成签到,获得积分10
17秒前
fifteen发布了新的文献求助10
17秒前
胡权完成签到,获得积分10
17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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
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 7588277
求助须知:如何正确求助?哪些是违规求助? 9166512
关于积分的说明 19618859
捐赠科研通 7168424
什么是DOI,文献DOI怎么找? 3266975
关于科研通互助平台的介绍 2431953
邀请新用户注册赠送积分活动 2258952