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QSAR modeling for the prediction of pGI50 activity of compounds on LOX IMVI cell line and ligand-based design of potent compounds using in silico virtual screening

QSAR modeling for the prediction of pGI50 activity of compounds on LOX IMVI cell line and ligand-based design of potent compounds using in silico virtual screening

Umar, Bello Abdullahi; Uzairu, Adamu; Shallangwa, Gideon Adamu; Sani, Uba
  • 期刊名称Network Modeling Analysis in Health Informatics and Bioinformatics
  • 作者Umar, Bello Abdullahi; Uzairu, Adamu; Shallangwa, Gideon Adamu; Sani, Uba
  • 卷第8卷
  • 期第1期
  • 印刷ISSN2192-6662
  • 电子ISSN2192-6670
  • 文件大小844.95KB
  • 发表时间2019-12
  • DOI10.1007/s13721-019-0202-8
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