ID 111586
著者
Lepp, Zsolt The University of Tokushima
Kinoshita, Takashi The University of Tokushima
キーワード
database
lead searching
virtual screening
antidepressant
support vector machine
atom-type descriptors
diversity
multiple activities
資料タイプ
学術雑誌論文
抄録
Virtual screening was carried out against various biological targets related to depression by support vector machine classification using the atom-type descriptors. The models were effective as over 75 and 95% of the molecules in external test datasets could be correctly classified, depending on target. Antidepressant compounds had predicted activity against 2.3 targets, on average. An introduction is given to virtual screening and the results of classification experiments are presented
掲載誌名
The Journal of Medical Investigation
ISSN
13496867
13431420
cat書誌ID
AA11166929
AA12022913
出版者
Faculty of Medicine Tokushima University
52
Supplement
開始ページ
297
終了ページ
299
並び順
297
発行日
2005-11
EDB ID
127460
出版社版DOI
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
薬学系