The MultiCASE Program II. Baseline Activity Identification Algorithm (BAIA)-Reference-Cited by-同舟云学术

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The MultiCASE Program II. Baseline Activity Identification Algorithm (BAIA)

Published:1998-01-19 Issue:1 Volume:38 Page:78-81
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Klopman Gilles¹

Affiliation:

1. Chemistry Department, Case Western Reserve University, Cleveland, Ohio 44106

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci9700790

Reference11 articles.

1. A critical review of comparative acute toxicity data on freshwater fish

2. Comparative QSAR: Toward a Deeper Understanding of Chemicobiological Interactions

3. Artificial intelligence approach to structure-activity studies. Computer automated structure evaluation of biological activity of organic molecules

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1. Machine Learning Methods in Computational Toxicology;Methods in Molecular Biology;2018

2. Overview of Technological Advances and Predictive Assays;Comprehensive Toxicology;2018

3. Mutagenic and carcinogenic structural alerts and their mechanisms of action;Archives of Industrial Hygiene and Toxicology;2016-09-01

4. In vitro, in silico and integrated strategies for the estimation of plasma protein binding. A review;Advanced Drug Delivery Reviews;2015-06

5. The Development of Novel Chemical Fragment-Based Descriptors Using Frequent Common Subgraph Mining Approach and Their Application in QSAR Modeling;Molecular Informatics;2014-03

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