Development of a hierarchical support vector regression-based in silico model for the prediction of the cysteine depletion in DPRA-Reference-Cited by-同舟云学术

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Development of a hierarchical support vector regression-based in silico model for the prediction of the cysteine depletion in DPRA

Published:2024-03 Issue: Volume:503 Page:153739
ISSN:0300-483X
Container-title:Toxicology
language:en
Short-container-title:Toxicology

Author:

Ta Giang H.,Weng Ching-Feng,Leong Max K.

Publisher

Elsevier BV

Reference156 articles.

1. Implication of parabens in cosmetics and cosmeceuticals: advantages and limitations;Al-Halaseh;J. Cosmet. Dermatol.,2022

2. Transdermal drug delivery: innovative pharmaceutical developments based on disruption of the barrier properties of the stratum corneum;Alkilani;Pharmaceutics,2015

3. In silico ADME-Tox modeling: progress and prospects;Alqahtani;Expert Opin. Drug Metab. Toxicol.,2017

4. QSAR models of human data can enrich or replace LLNA testing for human skin sensitization;Alves;Green. Chem.,2016

5. Predicting chemically-induced skin reactions. Part II: QSAR models of skin permeability and the relationships between skin permeability and skin sensitization;Alves;Toxicol. Appl. Pharmacol.,2015

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1. Unveiling the role of artificial intelligence in tetracycline antibiotics removal using UV/sulfite/phenol advanced reduction process;Journal of Environmental Management;2024-11

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