论文部分内容阅读
New Strategies for the Functionalization of Biologically ActiveHeteroarenes
【机 构】
：
Key Laboratory of Preclinical Study for New Drugs of Gansu Province,School of Basic Medical Sciences
【出 处】
：
2015年全国药物化学学术会议暨第五届中英药物化学学术会议
【发表日期】
：
2015年3期
其他文献
鸦片用于镇痛有上千年的历史；同时，鸦片滥用和成瘾带来非常严重的健康和社会问题。关于鸦片的研究主要围绕神经元，占中枢神经系统90％的胶质细胞的作用很长时间被忽视。
Late-Stage Sulfuration of Pharmaceuticals and Total synthesis of Natural Products with Sulfur Atom T
Thiols,as common sulfurating reagents,[1] have numerous drawbacks,such as metal poisoning,unpleasant odor,and apt oxidation,which impede their applications.To overcome these disadvantages,Na2S2O3 has
Poly(ADP-ribose)polymerase-1(PARP-1)is a nuclear enzyme involved in the detection and repair of DNA damage.The inhibition of PARP-1 has several potential therapeutic applications for drug discovery.In
A complete set of new phospate-caged photolabile nucleoside phosphoramidites were synthesized,and were then site-specifically incorporated into sense or antisense strands of a siRNA.Single caging modi
吗啡等阿片类镇痛药虽然已被广泛应用于临床，但其耐受、成瘾、便秘和呼吸抑制等副作用限制了其应用范围。近年来发现阿片类的双功能分子可介导低耐受的镇痛活性[1]，因此在高效、低副作用的镇痛药物研发中备受关注。
Developing anticancer metal prodrugs based on the nature of human serum albumin carrier IIA subdomai
Although cisplatin is a promising anti-cancer agent,multifactorial resistance,serious side effects,and general toxicity have limited the use of cisplatin in cancer chemotherapy [1].Therefore,less toxi
会议
Discovery of Novel Monocarbonyl Ligustrazine-Curcumin Hybrids as Potential Thioredoxin Reductase Inh
The elevation of oxidative stress preferentially in cancer cells by inhibiting thioredoxin reductase(TrxR)and/or enhancing reactive oxygen species(ROS)has emerged as an effective strategy for selectiv
The increasing multi-drug resistance has become a major threat to the public health [1].Over-expression of multidrug efflux pumps is one of the major mechanisms of drug resistance in bacteria [2].AcrB
通过化合物生物活性的计算预测,来寻找新的活性化合物是药物信息学一个重要的研究内容。我们选取抗艾滋病的HIV-1 整合酶[1-3]、抗丙肝病毒的 HCV 聚合酶[4,5]和蛋白酶[6]、抗流感病毒的神经氨酸酶等生物靶标和抑制剂作为研究对象,采取自组织神经网络和支持向量机等机器学习算法进行化合物生物活性和结构关系的研究,建立配体化合物生物活性的分类模型和定量预测模型。