亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Do We Need to Optimize Plasma Protein and Tissue Binding in Drug Discovery?

药物发现 药品 血浆蛋白结合 计算生物学 药理学 化学 计算机科学 医学 生物化学 生物
作者
Xingrong Liu,Cuiping Chen,Cornelis E. C. A. Hop
出处
期刊:Current Topics in Medicinal Chemistry [Bentham Science Publishers]
卷期号:11 (4): 450-466 被引量:52
标识
DOI:10.2174/156802611794480918
摘要

It is a commonly accepted assumption that only unbound drug molecules are available to interact with their targets. In order to achieve high unbound plasma drug concentration, it seems obvious to design compounds with low plasma protein binding. Similarly to achieve high unbound tissue concentration, we apparently need compounds with low tissue binding. Our theoretical analysis and experimental data demonstrate that unbound plasma concentration is not determined by plasma protein binding but by hepatic intrinsic clearance after oral dose, and unbound tissue concentration is not determined by tissue binding but determined by unbound plasma concentration and transport properties at the blood-tissue barrier. Reduction of plasma and tissue protein binding for a compound will increase the unbound concentration in vitro but may not increase its unbound plasma or tissue concentration in vivo after oral administration. We conclude that plasma protein and tissue binding are essential parameters to understand pharmacokinetics and pharmacodynamics but they should not be optimized independently in drug discovery. Instead we should focus on reducing clearance and efflux at the blood-tissue barrier to increase in vivo plasma and tissue unbound concentration.
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
小马甲应助朱广能采纳,获得10
1秒前
远志发布了新的文献求助10
2秒前
Seven完成签到 ,获得积分10
2秒前
3秒前
4秒前
6秒前
和风完成签到 ,获得积分10
11秒前
doufly发布了新的文献求助10
13秒前
13秒前
研友_VZG7GZ应助绾君采纳,获得10
14秒前
15秒前
朱广能发布了新的文献求助10
19秒前
19秒前
赵凯丽发布了新的文献求助10
20秒前
21秒前
21秒前
21秒前
22秒前
23秒前
24秒前
24秒前
24秒前
24秒前
24秒前
25秒前
25秒前
机器猫nzy发布了新的文献求助10
25秒前
25秒前
25秒前
机器猫nzy发布了新的文献求助10
26秒前
26秒前
26秒前
26秒前
机器猫nzy发布了新的文献求助10
27秒前
机器猫nzy发布了新的文献求助50
27秒前
27秒前
27秒前
28秒前
28秒前
机器猫nzy发布了新的文献求助10
28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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7738612
求助须知:如何正确求助?哪些是违规求助? 9287687
关于积分的说明 20184505
捐赠科研通 7316520
什么是DOI,文献DOI怎么找? 3305931
关于科研通互助平台的介绍 2458263
邀请新用户注册赠送积分活动 2315794