In Silico Binary Classification QSAR Models Based on 4D-Fingerprints and MOE Descriptors for Prediction of hERG Blockage

• 資料種別: 記事
• タイトル: In Silico Binary Classification QSAR Models Based on 4D-Fingerprints and MOE Descriptors for Prediction of hERG Blockage
• 著者標目: Bo-Han Su; Meng-yu Shen; Emilio Xavier Esposito; Anton J. Hopfinger; Yufeng J. Tseng
• 出版年月日等: 2010-06-21
• 出版年（W3CDTF）: 2010-06-21
• タイトル（掲載誌）: Journal of Chemical Information and Modeling
• 巻号年月日等（掲載誌）: 50 7
• 掲載巻: 50
• 掲載号: 7
• 掲載ページ: 1304-1318
• 掲載年月日（W3CDTF）: 2010-06-21
• ISSN（掲載誌）: 15499596
• 出版事項（掲載誌）: American Chemical Society (ACS)
• 対象利用者: 一般
• DOI: 10.1021/ci100081j
• 作成日（W3CDTF）: 2010-06-21
• 関連情報（URI）: https://pubs.acs.org/doi/pdf/10.1021/ci100081j
• 参照: Construction of an integrated database for hERG blocking small molecules; https://cir.nii.ac.jp/crid/1360010799192478848; Predictions of Cleavability of Calpain Proteolysis by Quantitative Structure-Activity Relationship Analysis Using Newly Determined Cleavage Sites and Catalytic Efficiencies of an Oligopeptide Array; https://cir.nii.ac.jp/crid/1360848658918977152
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: Crossref; https://www.crossref.org