Loading...
Please wait, while we are loading the content...
Similar Documents
Predictive and mechanistic multivariate linear regression models for reaction development
| Content Provider | Semantic Scholar |
|---|---|
| Author | Santiago, Celine B. Guo, Jing-Yao Sigman, Matthew S. |
| Copyright Year | 2018 |
| Abstract | Multivariate Linear Regression (MLR) models utilizing computationally-derived and empirically-derived physical organic molecular descriptors are described in this review. Several reports demonstrating the effectiveness of this methodological approach towards reaction optimization and mechanistic interrogation are discussed. A detailed protocol to access quantitative and predictive MLR models is provided as a guide for model development and parameter analysis. |
| Starting Page | 2398 |
| Ending Page | 2412 |
| Page Count | 15 |
| File Format | PDF HTM / HTML |
| PubMed reference number | 29719711v1 |
| Alternate Webpage(s) | https://doi.org/10.1039/c7sc04679k |
| DOI | 10.1039/c7sc04679k |
| Journal | Chemical science |
| Volume Number | 9 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Linear IgA Bullous Dermatosis Population Parameter |
| Content Type | Text |
| Resource Type | Article |