公开(公告)号：US20150269307A1

公开(公告)日：2015-09-24

申请号：US14661918

申请日：2015-03-18

Applicant: Texas Tech University System

Inventor： Ranadip Pal ,  Charles Keller, III ,  Noah E. Berlow ,  Bernard Seguin

IPC: G06F19/12 ,  G06F19/24 ,  C12Q1/68 ,  G01N33/574 ,  G01N33/50

CPC classification number: G16B5/00 ,  G01N33/5014 ,  G01N33/574 ,  G01N2500/10 ,  G01N2570/00 ,  G16B40/00

Abstract: Disclosed is a system and method for targeted therapy designs which model a cancer pathway for predicting the effectiveness of targeted anti-cancer drugs. The disclosed system and method includes utilization of a computer processor allowing for the selection of a set of drugs from available drugs using approximation algorithms utilizing cell viability data associated with a testable culture of a patient's tumor for generating a probabilistic target inhibition map (PTIM) from viability data for considering the selection of a set of drugs from available drugs, and further supports a wide variety of scenarios for personalized cancer therapy, related products and services.

Abstract translation: 公开了用于靶向治疗设计的系统和方法，该系统和方法模拟用于预测靶向抗癌药物的有效性的癌症途径。 所公开的系统和方法包括使用计算机处理器，其允许使用利用与患者肿瘤的可测试培养物相关联的细胞存活力数据的近似算法从可用药物中选择一组药物，以生成概率性靶标抑制图（PTIM） 考虑从现有药物中选择一组药物的可行性数据，并进一步支持个性化癌症治疗，相关产品和服务的各种场景。