Wiley S R
Abbott Laboratories, Abbott Park, IL 60064, USA.
Curr Pharm Des. 1998 Oct;4(5):417-22.
The term genomics has evolved into a catch-all term for a variety of information intensive biological methodologies. While the promise of genomics in the bio/pharmaceutical industry is great, its impact on the drug discovery pipeline has not yet been realized, excluding a few notable exceptions. As companies acquire several years of experience in working with genomic data, it is likely that the impact on the discovery process will slowly emerge as we learn to integrate these new technologies into individual discovery programs. It is clear that extracting novel biologically valid targets targets from exponentially growing amounts of sequence data requires time and considerable investment in biological research infrastructure. In order to accelerate the process of target validation, a variety of functional genomics technologies are also being developed to try to predict the effect of inhibitory compounds in advance of development. Resources spent on early stage exploratory efforts such as these can pay off by improving the success rate for screening and medicinal chemistry.
“基因组学”一词已演变成一个涵盖各种信息密集型生物学方法的统称。虽然基因组学在生物/制药行业的前景广阔,但其对药物发现流程的影响尚未实现,少数显著的例外情况除外。随着各公司在处理基因组数据方面积累了数年经验,随着我们学会将这些新技术整合到各个发现项目中,对发现过程的影响可能会逐渐显现。显然,从呈指数级增长的序列数据中提取新的具有生物学有效性的靶点需要时间,并在生物研究基础设施方面进行大量投资。为了加速靶点验证过程,还在开发各种功能基因组学技术,试图在开发之前预测抑制性化合物的效果。花在诸如这些早期探索性工作上的资源,有望通过提高筛选和药物化学的成功率而得到回报。