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药物研发:选择最佳方法。

Drug discovery: selecting the optimal approach.

作者信息

Sams-Dodd Frank

机构信息

Bionomics Europe, Les Algorithmes, rue Jean Sapidus, Parc d'Innovation, 67400 Illkirch, France.

出版信息

Drug Discov Today. 2006 May;11(9-10):465-72. doi: 10.1016/j.drudis.2006.03.015.

DOI:10.1016/j.drudis.2006.03.015
PMID:16635811
Abstract

The target-based drug discovery approach has for the past 10-15 years been the dominating drug discovery paradigm. However, within the past few years, the commercial value of novel targets in licensing deals has fallen dramatically, reflecting that the probability of reaching a clinical drug candidate for a novel target is very low. This has naturally led to questions regarding the success of target-based drug discovery and, more importantly, a search for alternatives. This paper evaluates the strengths and limitations of the main drug discovery approaches, and proposes a novel approach that could offer advantages for the identification of disease-modifying treatments.

摘要

在过去10到15年里,基于靶点的药物发现方法一直是主导的药物发现模式。然而,在过去几年中,新型靶点在授权交易中的商业价值大幅下降,这反映出针对新型靶点获得临床候选药物的概率非常低。这自然引发了关于基于靶点的药物发现是否成功的问题,更重要的是,促使人们寻找替代方法。本文评估了主要药物发现方法的优势和局限性,并提出了一种可能为确定疾病修饰疗法带来优势的新方法。

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Drug discovery: selecting the optimal approach.药物研发:选择最佳方法。
Drug Discov Today. 2006 May;11(9-10):465-72. doi: 10.1016/j.drudis.2006.03.015.
2
Structure-based virtual screening: an overview.基于结构的虚拟筛选:综述
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Application of NMR screening in drug discovery.核磁共振筛选在药物发现中的应用。
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Synergies of virtual screening approaches.虚拟筛选方法的协同作用。
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Synthetic library design.合成文库设计。
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Structure-based screening and design in drug discovery.药物研发中基于结构的筛选与设计。
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Fragonomics: fragment-based drug discovery.片段组学:基于片段的药物发现
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Lead generation--enhancing the success of drug discovery by investing in the hit to lead process.潜在客户生成——通过投资从活性化合物到先导化合物的过程来提高药物发现的成功率。
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Complementary Approaches to Existing Target Based Drug Discovery for Identifying Novel Drug Targets.用于识别新型药物靶点的现有基于靶点的药物发现的补充方法。
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Application of NMR and molecular docking in structure-based drug discovery.核磁共振(NMR)与分子对接在基于结构的药物发现中的应用。
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