Physiologically based pharmacokinetic (PBPK) modeling of RNAi therapeutics: Opportunities and challenges

基于生理学的药代动力学模型 药代动力学 RNA干扰 背景(考古学) 药理学 计算生物学 计算机科学 药品 药物开发 生化工程 医学 生物 工程类 核糖核酸 古生物学 生物化学 基因
作者
Kiara Fairman,Miao Li,Baitang Ning,Annie Lumen
出处
期刊:Biochemical Pharmacology [Elsevier BV]
卷期号:189: 114468-114468 被引量:21
标识
DOI:10.1016/j.bcp.2021.114468
摘要

Physiologically based pharmacokinetic (PBPK) modeling is a powerful tool with many demonstrated applications in various phases of drug development and regulatory review. RNA interference (RNAi)-based therapeutics are a class of drugs that have unique pharmacokinetic properties and mechanisms of action. With an increasing number of RNAi therapeutics in the pipeline and reaching the market, there is a considerable amount of active research in this area requiring a multidisciplinary approach. The application of PBPK models for RNAi therapeutics is in its infancy and its utility to facilitate the development of this new class of drugs is yet to be fully evaluated. From this perspective, we briefly discuss some of the current computational modeling approaches used in support of efficient development and approval of RNAi therapeutics. Considerations for PBPK model development are highlighted both in a relative context between small molecules and large molecules such as monoclonal antibodies and as it applies to RNAi therapeutics. In addition, the prospects for drawing upon other recognized avenues of PBPK modeling and some of the foreseeable challenges in PBPK model development for these chemical modalities are briefly discussed. Finally, an exploration of the potential application of PBPK model development for RNAi therapeutics is provided. We hope these preliminary thoughts will help initiate a dialogue between scientists in the relevant sectors to examine the value of PBPK modeling for RNAi therapeutics. Such evaluations could help standardize the practice in the future and support appropriate guidance development for strengthening the RNAi therapeutics development program.
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
雨姐科研发布了新的文献求助10
刚刚
ho完成签到,获得积分10
1秒前
正直静曼完成签到 ,获得积分10
3秒前
4秒前
夏雪儿发布了新的文献求助10
5秒前
5秒前
臣子完成签到,获得积分20
6秒前
6秒前
7秒前
Ditf完成签到,获得积分10
9秒前
9秒前
要减肥的鱼完成签到,获得积分20
12秒前
13秒前
14秒前
14秒前
老马发布了新的文献求助10
15秒前
16秒前
七听应助sssugar采纳,获得30
16秒前
汉堡包应助snow采纳,获得10
16秒前
super完成签到,获得积分10
16秒前
传奇3应助流萤采纳,获得10
17秒前
思源应助ZetaGundam采纳,获得10
17秒前
桥豆麻袋发布了新的文献求助10
17秒前
大模型应助蒋学金采纳,获得10
19秒前
sadsada发布了新的文献求助10
21秒前
阿六完成签到,获得积分10
21秒前
23秒前
打打应助王明卓采纳,获得10
25秒前
Lucas应助sadsada采纳,获得50
26秒前
科研通AI6.2应助你好采纳,获得10
28秒前
orixero应助梅子黄时雨采纳,获得10
28秒前
lm18994782585发布了新的文献求助10
29秒前
科研通AI6.2应助venti采纳,获得10
29秒前
顺利映菡发布了新的文献求助10
30秒前
neu_zxy1991完成签到,获得积分10
31秒前
wutong完成签到,获得积分10
33秒前
孤独曲奇完成签到,获得积分10
35秒前
cyy关闭了cyy文献求助
36秒前
36秒前
科研通AI6.2应助谭成勇采纳,获得10
36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
Encyclopedia of Cardiovascular Research and Medicine(2e) 820
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7781791
求助须知:如何正确求助?哪些是违规求助? 9321417
关于积分的说明 20382975
捐赠科研通 7369678
什么是DOI,文献DOI怎么找? 3320126
关于科研通互助平台的介绍 2467955
邀请新用户注册赠送积分活动 2336049