手把手教新手用计算机模拟找新药靶点,省时省力。
Decoding Drug Discovery: Exploring A-to-Z In silico Methods for Beginners
- 从基因到蛋白层面系统梳理虚拟药物研发全流程方法
- 强调计算方法可显著提升靶点发现效率,缩短研发周期
- 适合刚入门的药理学或生物信息学研究者快速上手
药物研发过程因耗时长、需探索新型药物潜力以应对多种疾病而面临严峻挑战。药物靶点识别作为初始步骤,常耗费大量时间。传统体内、体外方法虽有效,但难以高效分析海量数据,导致资源浪费。为加速并优化药物开发,计算机辅助药物设计(CADD)等虚拟方法日益普及。这些先进在硅方法为高效识别潜在药物候选物提供了可能,使制药企业更易发现新药靶点。本文旨在回顾药物开发中用于识别与特定疾病相关遗传或蛋白质靶点的在硅技术,全面阐述从A到Z的虚拟方法,涵盖生物活性化合物靶点及其潜在治疗效应的识别。本综述通过阐明前沿技术现状,期望提升药物发现效率,从而增强新药靶点临床试验的有效性与持续性。
原文摘要 · Abstract (English)
The drug development process is a critical challenge in the pharmaceutical industry due to its time-consuming nature and the need to discover new drug potentials to address various ailments. The initial step in drug development, drug target identification, often consumes considerable time. While valid, traditional methods such as in vivo and in vitro approaches are limited in their ability to analyze vast amounts of data efficiently, leading to wasteful outcomes. To expedite and streamline drug development, an increasing reliance on computer-aided drug design (CADD) approaches has merged. These sophisticated in silico methods offer a promising avenue for efficiently identifying viable drug candidates, thus providing pharmaceutical firms with significant opportunities to uncover new prospective drug targets. The main goal of this work is to review in silico methods used in the drug development process with a focus on identifying therapeutic targets linked to specific diseases at the genetic or protein level. This article thoroughly discusses A-to-Z in silico techniques, which are essential for identifying the targets of bioactive compounds and their potential therapeutic effects. This review intends to improve drug discovery processes by illuminating the state of these cutting-edge approaches, thereby maximizing the effectiveness and duration of clinical trials for novel drug target investigation.
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