Evaluation of Quantitative Structure−Activity Relationship Modeling Strategies: Local and Global Models-Reference-Cited by-同舟云学术

Evaluation of Quantitative Structure−Activity Relationship Modeling Strategies: Local and Global Models

Published:2010-03-10 Issue:4 Volume:50 Page:677-689
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Helgee Ernst Ahlberg¹,Carlsson Lars¹,Boyer Scott¹,Norinder Ulf¹

Affiliation:

1. Safety Assessment, AstraZeneca Research & Development, 43183 Mölndal, Sweden, and Medicinal Chemistry, AstraZeneca Research & Development 15185 Södertälje, Sweden

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci900471e

Reference23 articles.

1. Local Lazy Regression: Making Use of the Neighborhood to Improve QSAR Predictions

2. A Novel Automated Lazy Learning QSAR (ALL-QSAR) Approach: Method Development, Applications, and Virtual Screening of Chemical Databases Using Validated ALL-QSAR Models

3. Do Structurally Similar Molecules Have Similar Biological Activity?

4. Local and Global Quantitative Structure−Activity Relationship Modeling and Prediction for the Baseline Toxicity

5. Development, interpretation and temporal evaluation of a global QSAR of hERG electrophysiology screening data

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