位置：成果数据库 > 期刊 > 期刊详情页
3D-QSAR analysis on ATR protein kinase inhibitors using CoMFA and CoMSIA.
  • ISSN号：1573-4099
  • 期刊名称：Curr Comput Aided Drug Des
  • 时间：2014
  • 页码：327-334
  • 相关项目：HPV16型E7抗原CTL表位模拟肽抗HPV感染的实验研究
作者： Wang, Yuanqiang|Yu, Rui|Yao, Shuang|Lin, Zhihua|
同期刊论文项目
HPV16型E7抗原CTL表位模拟肽抗HPV感染的实验研究
期刊论文 35
同项目期刊论文
3D-QSAR Studies of Azacycles CCR5 Antagonists Using CoMFA and Topomer CoMFA
基于氨基酸性质的EB 病毒抗原MHC-Ⅰ类分子限制性表位的定量构效关系建模
Quantitative prediction of class I MHC/epitope binding affinity using QSAR modeling derived from ami
Molecular Modeling Studies of Vascular Endothelial Growth Factor Receptor Tyrosine Kinase Inhibitors
Predicting the Activity of Antimicrobial Peptides with Amino Acid Topological Information.
2,5-二酮哌嗪类微管蛋白抑制剂的3D-QSAR研究.
炔基苯氧乙酸类CRTH2拮抗剂的3D-QSAR研究.
HPV16 E7抗原CTL表位拟肽设计及活性评价
炔基苯氧乙酸类CRTH2拮抗剂的3D-QSAR研究
2,5-二酮哌嗪类微管蛋白抑制剂的3D-QSAR研究
苯并咪唑衍生物BM935抑制T细胞增殖的机制研究
应用CoMFA及CoMSIA方法研究氮杂环类CCR5拮抗剂的三维定量构效关系
3D-QSAR and docking studies of 3-Pyridine heterocyclic derivatives as potent PI3K/mTOR inhibitors
Proteasomal cleavage site prediction of protein antigen using BP neural network based on a new set o
Combined 3D-QSAR modeling and molecular docking study on azacycles CCR5 antagonists
Predicting the activity of Antimicrobial peptides with amino acid topological information
3D-QSAR studies of dihydropyrazole and dihydropyrrole derivatives as inhibitors of human mitotic kin
Combined Pharmacophore Modeling, 3D-QSAR, Homology Modeling and Docking Studies on CYP11B1 Inhibitor
TAP-binding peptides prediction by QSAR modeling based on amino acid structural information
CCR5小分子拮抗剂结构与抗HIV活性构效关系的研究
噻吩并[3,2-d]嘧啶-6-甲酰胺类SIRT1~3抑制剂的3D-QSAR模型建立及初步分析
嘌呤环类mTOR免疫抑制剂的三维定量构效关系研究
吡啶类葡萄糖激酶激动剂的三维定量构效关系分析
氰基吡咯烷类FAP 抑制剂的分子对接及3D-QSAR 研究
趋化因子CCR2的同源模建、分子对接和3D-QSAR研究
噻唑类Fascin蛋白抑制剂的3D-QSAR研究
丙型肝炎病毒NS5A抑制剂的3D—QSAR研究