ArticleFrontiers in pharmacology2013
lazar: a modular predictive toxicology framework.
Article in Frontiers in pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
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- Mutagenicity and carcinogenicity prediction of sugar substitutes: anToxicology research · 2025Article
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- Toxicological Evaluation of Kaempferol and Linearolactone as Treatments for Amoebic Liver Abscess Development inInternational journal of molecular sciences · 2024Article
- Identification of Inhibitors for Flagellar Assembly Protein FliN of UropathogenicIndian journal of microbiology · 2024Article
- Design and Evaluation of NSAID Derivatives as AKR1C3 Inhibitors for Breast Cancer Treatment through Computer-Aided Drug Design and In Vitro Analysis.Molecules (Basel, Switzerland) · 2024Article
- Development of Novel Pyrrole Derivatives and Their Cinnamic Hybrids as Dual COX-2/LOX Inhibitors.Molecules (Basel, Switzerland) · 2023Article
- In Silico and In Vitro Approach for Evaluation of the Anti-Inflammatory and Antioxidant Potential of Mygalin.International journal of molecular sciences · 2023Article
- Cytotoxic evaluation of YSL-109 in a triple negative breast cancer cell line and toxicological evaluations.Naunyn-Schmiedeberg's archives of pharmacology · 2023Article
- Evaluation of Free Online ADMET Tools for Academic or Small Biotech Environments.Molecules (Basel, Switzerland) · 2023Review
- Toxicity prediction and analysis of flavonoid apigenin as a histone deacetylase inhibitor: an in-silico approach.In silico pharmacology · 2023Article
- Evaluating different web applications to assess the toxicity of plasticizers.Scientific reports · 2022Article
- Artificial intelligence uncovers carcinogenic human metabolites.Nature chemical biology · 2022Article
- Development of the Validated Stability-Indicating Method for the Determination of Vortioxetine in Bulk and Pharmaceutical Formulation by HPLC-DAD, Stress Degradation Kinetics Studies and Detection of Degradation Products by LC-ESI-QTOF-MS.Molecules (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
lazar (lazy structure-activity relationships) is a modular framework for predictive toxicology. Similar to the read across procedure in toxicological risk assessment, lazar creates local QSAR (quantitative structure-activity relationship) models for each compound to be predicted. Model developers can choose between a large variety of algorithms for descriptor calculation and selection, chemical similarity indices, and model building. This paper presents a high level description of the lazar framework and discusses the performance of example classification and regression models.
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