-
0
00025nam a2200024 a 4500
-
1
Cesti210297887
-
40
$aCesti
-
41
$avie
-
100
$aPhan, Van Tat
-
245
$aInsight prediction of receptor binding acivity of a set of benzamide derivatives using hybrid QSAR models: GA-SVR/ $cPham Van Tat, Nguyen Thi Ai Nhung
-
260
$c2020
-
300
$a10tr.
-
653
$a2D and 3D descriptor
-
653
$aGA-MLR and GA-SVR
-
653
$aHybrid QSAR models
-
695
$aHóa học
-
700
$aNguyen, Thi Ai Nhung
-
773
$tHóa học $d2020, số 2 $gtr.191-200
-
856
42
$uhttp://172.30.1.210/libol/search/download.asp?ID=181498
-
911
#
Lý Thị Tần
-
927
#
BB
-
965
8/4/2021