Quantitative structure–activity relationship (QSAR) analys梦见丢孩子
is of plant‐derived compounds with larvicidal activity against Zika Aedes aegypti (Diptera: Culicidae) vector using freely available descriptors 期刊名称： Pest Management Science
作者： Saavedra, Laura M.,Romanelli, Gustavo P.,Duchowicz, Pablo R.
年份： 2018年
关键词： Aedes aegypti;larvicidal activity;QSAR theory;PaDEL open‐source
software;EPI Suite program
摘要：BACKGROUND: We develop a QSAR model for predicting the larvicidal
activity of 60 plant-derived molecules against Aedes aegypti L. (Diptera: Culicidae),
vector of veral dias such as, dengue, yellow fever, chikungunya and Zika virus.
The balanced subts method (BSM) bad on k-means cluster analysis (k-MCA) is
employed to spl90年代的电视剧
it the data t. The replacement method (RM) variable subt
lection technique coupled with multivari漫画人物女生
able linear regression (MLR) proves to be
successful for exploring 18,326 molecula三七有什么功效
r descriptors and fingerprints calculated
with PaDEL, Mold 2 and EPI Suite open-source software. RESULTS: A robust QSAR
model (Rtra香煎海鱼
in2=0.84, S train =0.20 and Rtest2=0.92, S test =0.23) involving five no香煎芋头糕
n-
conformational descriptors is established. The model is validated and tested
through the u of an external test
内容由中国教育图书进出口有限公司引进
