英国癌症研究所的研究人员设计了一个新的计算模型,通过分析致癌蛋白不同于非致癌蛋白的独特行为,绘制出这些蛋白的“社交网络”图谱,为开发抗癌新药提供了新的线索。研究人员发现,有许多交互的分子途径影响着癌症的发展,那些被抗癌药物“瞄准”的致癌蛋白,与非致癌蛋白相比往往有特殊的“社会行为”特征。他们认为,这表明先前一些未被发现或瞄准的致癌蛋白也应具有类似特征,也可以成为有效的药物标靶。对于那些能与很多其他蛋白“交流”的“枢 Researchers at the British Cancer Institute have devised a new computational model that maps the ”social network“ of these proteins by analyzing the unique behavior of oncogenic proteins other than non-oncogenic proteins, providing new insights into the development of anticancer drugs clue. Researchers have found that there are many interactive molecular pathways that influence the development of cancer. Those oncogenes that are ”targeted“ by anticancer drugs often have a special ”social behavior“ characteristic compared to non-oncogenic proteins. In their opinion, this suggests that some previously untapped or targeted oncogenic proteins should also have similar characteristics and could be effective drug targets. For those who can ”exchange" with many other proteins