Biologics Consulting Group, Inc., 19 Sugar Knoll Drive, Devon, PA 19333-1558, USA.
Neurochem Int. 2012 Nov;61(6):892-8. doi: 10.1016/j.neuint.2012.01.016. Epub 2012 Jan 27.
The last fifteen years have witnessed a major strategic shift in drug discovery away from an empiric approach based on incremental improvements of proven therapies, to a more theoretical, target-based approach. This arose as a consequence of three technical advances: (1) generation and interpretation of genome sequences, which facilitated identification and characterization of potential drug targets; (2) efficient production of candidate ligands for these putative targets through combinatorial chemistry or generation of monoclonal antibodies; and (3) high-throughput screening for rapid evaluation of interactions of these putative ligands with the selected targets. The basic idea underlying all three of these technologies is in keeping with Marshall Nirenberg's dictum that science progresses best when there are simple assays capable of generating large data sets rapidly. Furthermore, practical implementation of target-based drug discovery was enabled directly by technologies that either were originated or nurtured by Marshall, his post-docs and fellows. Chief among these was the genetic code. Also important was adoption of clonal cell lines for pharmacological investigations, as well as the use of hybridomas to generate molecular probes that allowed physical purchase on signaling elements that had previously been only hypothetical constructs. Always the pure scientist, Marshall's contributions nevertheless enabled fruitful applications in the pharmaceutical industry, several of them by his trainees. Both the successes and the shortcomings of target-based drug discovery are worthy of consideration, as are its implications for the choices of therapeutic goals and modalities by the pharmaceutical industry.
在过去的十五年中,药物发现已经从基于经验的方法发生了重大战略转变,这种方法是基于对已证实疗法的渐进式改进,而转向了更具理论性的、基于靶点的方法。这是由于三个技术进步的结果:(1)基因组序列的产生和解释,这有助于鉴定和描述潜在的药物靶点;(2)通过组合化学或生成单克隆抗体来高效生产这些潜在靶点的候选配体;(3)高通量筛选,以便快速评估这些潜在配体与选定靶点的相互作用。这三种技术的基本思想都符合马歇尔·尼伦伯格的格言,即当有能够快速生成大数据集的简单测定法时,科学进展得最好。此外,直接受益于马歇尔、他的博士后和研究员开创或培育的技术,使基于靶点的药物发现的实际实施成为可能。其中最重要的是遗传密码。同样重要的是采用克隆细胞系进行药理学研究,以及使用杂交瘤来生成分子探针,从而可以对以前仅为假设构建的信号元件进行物理研究。尽管马歇尔始终是一位纯粹的科学家,但他的贡献仍然为制药行业带来了富有成效的应用,其中有几个是他的学生完成的。基于靶点的药物发现的成功和缺点都值得考虑,以及它们对制药行业治疗目标和方式的选择的影响。