- 作者: Siavash Riahi,* Abolghasem Beheshti, Ali Mohammadi, Mohammad Reza Ganjali and Parviz Norouzi
- 作者服務機構: Institute of Petroleum Engineering, Faculty of Engineering, University of Tehran, Iran
- 中文摘要: A quantitative structure-property relationship (QSPR) was developed using Artificial Neural Network (ANN) modeling to study partition coefficients (LogP) of various drugs and poisons. A set of 197 drugs and poisons were selected and suitable sets of molec
- 英文摘要: --
- 中文關鍵字: LogP; Neural network; Genetic algorithm; Chemometrics; QSPR; Drugs and poisons.
- 英文關鍵字: --