Knowledge Management, Merck Serono, 250 Frankfurterstrasse, Darmstadt 64293, Germany.
Drug Discov Today. 2013 Jul;18(13-14):614-24. doi: 10.1016/j.drudis.2012.12.011. Epub 2012 Dec 29.
Recent success of companion diagnostics along with the increasing regulatory pressure for better identification of the target population has created an unprecedented incentive for drug discovery companies to invest in novel strategies for biomarker discovery. In parallel with the rapid advancement and clinical adoption of high-throughput technologies, a number of knowledge management and systems biology approaches have been developed to analyze an ever increasing collection of OMICs data. This review discusses current biomarker discovery technologies highlighting challenges and opportunities of knowledge capturing and presenting a perspective of the future integrative modeling approaches as an emerging trend in biomarker prediction.
近年来，伴随诊断的成功以及对更好地确定目标人群的监管压力不断增加，为药物发现公司投资于新的生物标志物发现策略创造了前所未有的激励。随着高通量技术的快速发展和临床应用，已经开发了许多知识管理和系统生物学方法来分析不断增加的 OMICS 数据。本文综述了当前的生物标志物发现技术，重点讨论了知识获取的挑战和机遇，并提出了未来整合建模方法作为生物标志物预测中一种新兴趋势的观点。
