新功能、新界面、新体验,扫描即可下载生物谷APP!
首页 » 生物研究 » Front in Genet:设计出用于开发抗衰老疗法的新型算法

Front in Genet:设计出用于开发抗衰老疗法的新型算法

来源:生物谷 2014-05-19 09:21

2014年5月16日 讯 /生物谷BIOON/ --近日,来自莫斯科物理技术学院的研究人员通过研究设计了一种新型算法,其可以帮助研究人员寻找抑制机体老化的药物,相关研究成果刊登于国际杂志Frontiers in Genetics上。

信号路径是特定分子使细胞面对刺激产生反应的相互作用的一系列事件,比如激素分子首先会和细胞膜上的受体进行反应,随后受体分子就会将激素分子引入细胞内部,进而将分子信号传递到细胞核上,而引起的结果就是促进细胞核内的蛋白参与一系列的DNA修复和基因的表达。

文章中,研究者表示,该算法可以对年轻人和老年个体机体细胞中的基因表达情况进行对比,可以对比年轻个体细胞和老年个体细胞在信号通路表达上的不同特性,这种新型算法可以帮助科学家预测面对药物作用时细胞内分子的相互作用特点。

研究者开发的这种算法可以用于快速高效寻找那些最大化缩小年轻病人和老年病人用药不同差异的药物,这就意味着其将不光可以加速寻找帮助人类长寿的药物而且可以大大降低成本,该算法的研发不仅可以帮助寻找治疗一系列疾病的药物,而且对于揭示个体老化的复杂机制以及寻找抗老化药物提供了新的思路和希望。(生物谷Bioon.com)

Signaling pathway cloud regulation for in silico screening and ranking of the potential geroprotective drugs

Alex Zhavoronkov1,2,3,4*, Anton A. Buzdin1,2,4,5, Andrey V. Garazha1,2,4,5, Nikolay M. Borisov1,2,6 and Alexey A. Moskalev1,7,8*

The major challenges of aging research include absence of the comprehensive set of aging biomarkers, the time it takes to evaluate the effects of various interventions on longevity in humans and the difficulty extrapolating the results from model organisms to humans. To address these challenges we propose the in silico method for screening and ranking the possible geroprotectors followed by the high-throughput in vivo and in vitro validation. The proposed method evaluates the changes in the collection of activated or suppressed signaling pathways involved in aging and longevity, termed signaling pathway cloud, constructed using the gene expression data and epigenetic profiles of young and old patients' tissues. The possible interventions are selected and rated according to their ability to regulate age-related changes and minimize differences in the signaling pathway cloud. While many algorithmic solutions to simulating the induction of the old into young metabolic profiles in silico are possible, this flexible and scalable approach may potentially be used to predict the efficacy of the many drugs that may extend human longevity before conducting pre-clinical work and expensive clinical trials.

温馨提示:87%用户都在生物谷APP上阅读,扫描立刻下载! 天天精彩!


相关标签

最新会议 培训班 期刊库