Suppr超能文献

药物发现与开发中的血浆蛋白结合

Plasma protein binding in drug discovery and development.

作者信息

Howard Monique L, Hill John J, Galluppi Gerald R, McLean Matthew A

机构信息

Amgen Inc., 1201 Amgen Court West, Seattle, WA 98119, USA.

出版信息

Comb Chem High Throughput Screen. 2010 Feb;13(2):170-87. doi: 10.2174/138620710790596745.

Abstract

This review describes methods for quantifying the binding of small molecule drug candidates to plasma proteins and the application of these methods in drug discovery and development. Particular attention is devoted to methods amenable to medium-to-high throughput analysis and those well suited for measurement of compounds that are highly protein bound. The methods reviewed herein include the conventional techniques of equilibrium dialysis, ultrafiltration and ultracentrifugation, as well as some more novel approaches utilizing micropartitioning and biosensor-based analysis. Additional concepts that are discussed include plasma protein structure, enantioselective protein binding, drug displacement, the effect of patient demographics and disease states on free (unbound) drug levels, and the influence of protein binding on drug candidate pharmacokinetics and pharmacodynamics. Practical considerations pertaining to the evaluation of highly protein bound drug candidates are also highlighted.

摘要

本综述描述了量化小分子候选药物与血浆蛋白结合的方法,以及这些方法在药物发现和开发中的应用。特别关注适用于中高通量分析的方法,以及那些非常适合测量与蛋白质高度结合的化合物的方法。本文综述的方法包括平衡透析、超滤和超速离心等传统技术,以及一些利用微分配和基于生物传感器分析的更新颖方法。讨论的其他概念包括血浆蛋白结构、对映体选择性蛋白结合、药物置换、患者人口统计学和疾病状态对游离(未结合)药物水平的影响,以及蛋白结合对候选药物药代动力学和药效学的影响。还强调了与评估与蛋白质高度结合的候选药物相关的实际考虑因素。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验