癌症中的COBRA方法和代谢药物靶点。

COBRA methods and metabolic drug targets in cancer.

作者信息

Apaolaza Iñigo, José-Eneriz Edurne San, Agirre Xabier, Prósper Felipe, Planes Francisco J

机构信息

CEIT and Tecnun, University of Navarra, Manuel de Lardizábal 13, San Sebastián, Spain.

Area de Hemato-Oncología, IDISNA, Ciberonc, Centro de Investigación Médica Aplicada (CIMA), University of Navarra, Pío XII 55, Pamplona, Spain.

出版信息

Mol Cell Oncol. 2017 Nov 30;5(1):e1389672. doi: 10.1080/23723556.2017.1389672. eCollection 2018.

DOI:10.1080/23723556.2017.1389672

PMID:29404389

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5791858/

Abstract

The identification of therapeutic strategies exploiting the metabolic alterations of malignant cells is a relevant area in cancer research. Here, we discuss a novel computational method, based on the COBRA (COnstraint-Based Reconstruction and Analysis) framework for metabolic networks, to perform this task. Current and future steps are presented.

摘要

探索利用恶性细胞代谢改变的治疗策略是癌症研究中的一个重要领域。在此，我们讨论一种基于代谢网络的COBRA（基于约束的重建与分析）框架的新型计算方法来执行此任务。还介绍了当前和未来的步骤。