𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Quantitative structure–property relationship modeling of skin sensitization: A quantitative prediction

✍ Scribed by Sharath Golla; Sundar Madihally; Robert L. Robinson Jr.; Khaled A.M. Gasem


Book ID
116919966
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
380 KB
Volume
23
Category
Article
ISSN
0887-2333

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Nonlinear quantitative structure-propert
✍ Brian J. Neely; Sundararajan V. Madihally; Robert L. Robinson Jr.; Khaled A.M. G 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 194 KB

The permeation coefficient characterizes the ability of a chemical to penetrate the dermis, and the current study describes our efforts to develop structure-based models for the permeation coefficient. Specifically, we have integrated nonlinear, quantitative structure-property relationship (QSPR) mo

Prediction of Critical Micelle Concentra
✍ P.D.T. Huibers; V.S. Lobanov; A.R. Katritzky; D.O. Shah; M. Karelson 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 132 KB

domain (head) of the surfactant influence the cmc. The two Relationships between the molecular structure and the critical contributions are counteracting, with a lower cmc for a larger micelle concentration (cmc) of anionic surfactants were investihydrophobic domain and a higher cmc for a larger hyd

Prediction of aqueous solubility of orga
✍ Chen, Xue Qing (author);Cho, Sung Jin (author);Li, Yi (author);Venkatesh, Srini 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 155 KB

A quantitative structure-property relationship (QSPR) was developed for predicting the aqueous solubility of drug-like compounds from their chemical structures. A set of 321 structurally diverse drugs or related compounds, with their intrinsic aqueous solubility collected from literature, was used i