✦ LIBER ✦

Prediction of Octanol/Water Partitioning Coefficient and Sediment Sorption Coefficient for Benzaldehydes by Various Molecular Descriptors

✍ Scribed by Jiayin Dai; Man Xu; Liansheng Wang

Publisher: Springer
Year: 2000
Tongue: English
Weight: 468 KB
Volume: 65
Category: Article
ISSN: 0007-4861
DOI: 10.1007/s001280000114

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of Partitioning Properties fo

Prediction of Partitioning Properties for Benzaldehydes by Various Molecular Descriptors

✍ L.-J. Jin; Z. Wei; J.-Y. Dai; P. Guo; L.-S. Wang 📂 Article 📅 1998 🏛 Springer 🌐 English ⚖ 61 KB

The Prediction of Soil Sorption Coeffici

The Prediction of Soil Sorption Coefficients of Heterocyclic Nitrogen Compounds by Octanol/Water Partition Coefficient, Water Solubility, and by Molecular Connectivity Indices

✍ Y.-Y. Liao; Z.-T. Wang; J.-W. Chen; S.-K. Han; L.-S. Wang; G.-Y. Lu; T.-N. Zhao 📂 Article 📅 1996 🏛 Springer 🌐 English ⚖ 73 KB

Prediction of aqueous solubility and oct

Prediction of aqueous solubility and octanol—water partition coefficient for pesticides based on their molecular structure

✍ G.S. Patil 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 691 KB

Aqueous Solubility,n-Octanol–Water Parti

Aqueous Solubility,n-Octanol–Water Partition Coefficient, and Sorption of Five Selective Serotonin Reuptake Inhibitors to Sediments and Soils

✍ Jeong-Wook Kwon; Kevin L. Armbrust 📂 Article 📅 2008 🏛 Springer 🌐 English ⚖ 382 KB

Correlation of Reversed-Phase Retention

Correlation of Reversed-Phase Retention Factors for α-Branched Phenylsulfonyl Acetates with Octanol/Water Partition Coefficients and Quantum Chemical Descriptors

✍ X. Liu; D. Wei; C. Wu; S. Han; L. Wang 📂 Article 📅 2001 🏛 Springer 🌐 English ⚖ 341 KB

Prediction of octanol–water partition co

Prediction of octanol–water partition coefficients of organic compounds by multiple linear regression, partial least squares, and artificial neural network

✍ Hassan Golmohammadi 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 206 KB 👁 1 views

## Abstract A quantitative structure–property relationship (QSPR) study was performed to develop models those relate the structure of 141 organic compounds to their octanol–water partition coefficients (log __P__~o/w~). A genetic algorithm was applied as a variable selection tool. Modeling of log _