Weak Interactions Govern the Viscosity of Concentrated Antibody Solutions: High-Throughput Analysis Using the Diffusion Interaction Parameter

粘度 扩散 粘弹性 化学 热力学 维里系数 化学物理 物理
作者
Brian D. Connolly,Chris Petry,Sandeep Yadav,Barthélemy Demeule,Natalie A. Ciaccio,Jamie Moore,Steven J. Shire,Yatin R. Gokarn
出处
期刊:Biophysical Journal [Elsevier BV]
卷期号:103 (1): 69-78 被引量:293
标识
DOI:10.1016/j.bpj.2012.04.047
摘要

Weak protein-protein interactions are thought to modulate the viscoelastic properties of concentrated antibody solutions. Predicting the viscoelastic behavior of concentrated antibodies from their dilute solution behavior is of significant interest and remains a challenge. Here, we show that the diffusion interaction parameter (k(D)), a component of the osmotic second virial coefficient (B(2)) that is amenable to high-throughput measurement in dilute solutions, correlates well with the viscosity of concentrated monoclonal antibody (mAb) solutions. We measured the k(D) of 29 different mAbs (IgG(1) and IgG(4)) in four different solvent conditions (low and high ion normality) and found a linear dependence between k(D) and the exponential coefficient that describes the viscosity concentration profiles (|R| ≥ 0.9). Through experimentally measured effective charge measurements, under low ion normality where the electroviscous effect can dominate, we show that the mAb solution viscosity is poorly correlated with the mAb net charge (|R| ≤ 0.6). With this large data set, our results provide compelling evidence in support of weak intermolecular interactions, in contrast to the notion that the electroviscous effect is important in governing the viscoelastic behavior of concentrated mAb solutions. Our approach is particularly applicable as a screening tool for selecting mAbs with desirable viscosity properties early during lead candidate selection.

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
合适鲂完成签到,获得积分10
1秒前
1秒前
chi1完成签到,获得积分10
2秒前
Jasper应助薛小侠采纳,获得10
2秒前
strive发布了新的文献求助10
3秒前
孙意冉完成签到,获得积分10
5秒前
5秒前
欢喜大地发布了新的文献求助10
5秒前
沉默诗柳完成签到,获得积分10
6秒前
小二郎应助小费采纳,获得10
6秒前
7秒前
李小光完成签到,获得积分10
7秒前
8秒前
8秒前
molihuakai应助股份烦烦烦采纳,获得10
10秒前
坚强的星星完成签到,获得积分10
10秒前
无情愫应助ykyk0927采纳,获得10
10秒前
Apricity发布了新的文献求助10
11秒前
呃呃呃呃GG完成签到,获得积分20
12秒前
领导范儿应助Akira采纳,获得10
14秒前
薛小侠发布了新的文献求助10
14秒前
eterofpar完成签到,获得积分10
14秒前
14秒前
沛林发布了新的文献求助10
15秒前
谦让的牛排完成签到 ,获得积分10
15秒前
11完成签到 ,获得积分10
16秒前
17秒前
18秒前
暖七之雨完成签到,获得积分10
18秒前
cherish发布了新的文献求助10
20秒前
小费发布了新的文献求助10
21秒前
22秒前
22秒前
23秒前
24秒前
传奇3应助沛林采纳,获得10
24秒前
yanqinlong完成签到 ,获得积分10
24秒前
26秒前
莫望完成签到,获得积分10
26秒前
CodeCraft应助kd采纳,获得10
27秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Analytical Separation Science 600
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 7548523
求助须知:如何正确求助?哪些是违规求助? 9131688
关于积分的说明 19511144
捐赠科研通 7141907
什么是DOI,文献DOI怎么找? 3259823
关于科研通互助平台的介绍 2426525
邀请新用户注册赠送积分活动 2248541