Detalhe da pesquisa
1.
Analysis of non-mutagenic substances in the context of drug impurity assessment - Few are potent toxicants.
Regul Toxicol Pharmacol
; 150: 105645, 2024 May 16.
Artigo
Inglês
| MEDLINE | ID: mdl-38761967
2.
Points to consider regarding the use and implementation of virtual controls in nonclinical general toxicology studies.
Regul Toxicol Pharmacol
; 150: 105632, 2024 Apr 27.
Artigo
Inglês
| MEDLINE | ID: mdl-38679316
3.
The application of acute oral toxicity computational models in dangerous goods classification.
Toxicol Ind Health
; 39(12): 687-699, 2023 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-37860984
4.
Toward Quantitative Models in Safety Assessment: A Case Study to Show Impact of Dose-Response Inference on hERG Inhibition Models.
Int J Mol Sci
; 24(1)2022 Dec 30.
Artigo
Inglês
| MEDLINE | ID: mdl-36614078
5.
Skin sensitization in silico protocol.
Regul Toxicol Pharmacol
; 116: 104688, 2020 Oct.
Artigo
Inglês
| MEDLINE | ID: mdl-32621976
6.
Extending (Q)SARs to incorporate proprietary knowledge for regulatory purposes: is aromatic N-oxide a structural alert for predicting DNA-reactive mutagenicity?
Mutagenesis
; 34(1): 67-82, 2019 03 06.
Artigo
Inglês
| MEDLINE | ID: mdl-30189015
7.
Genetic toxicology in silico protocol.
Regul Toxicol Pharmacol
; 107: 104403, 2019 Oct.
Artigo
Inglês
| MEDLINE | ID: mdl-31195068
8.
Principles and procedures for handling out-of-domain and indeterminate results as part of ICH M7 recommended (Q)SAR analyses.
Regul Toxicol Pharmacol
; 102: 53-64, 2019 Mar.
Artigo
Inglês
| MEDLINE | ID: mdl-30562600
9.
In silico toxicology protocols.
Regul Toxicol Pharmacol
; 96: 1-17, 2018 Jul.
Artigo
Inglês
| MEDLINE | ID: mdl-29678766
10.
Generalized workflow for generating highly predictive in silico off-target activity models.
J Chem Inf Model
; 54(9): 2411-22, 2014 Sep 22.
Artigo
Inglês
| MEDLINE | ID: mdl-25137615
11.
Toward implementing virtual control groups in nonclinical safety studies.
ALTEX
; 41(2): 282-301, 2024.
Artigo
Inglês
| MEDLINE | ID: mdl-38043132
12.
Development of in silico filters to predict activation of the pregnane X receptor (PXR) by structurally diverse drug-like molecules.
Bioorg Med Chem
; 20(18): 5352-65, 2012 Sep 15.
Artigo
Inglês
| MEDLINE | ID: mdl-22560839
13.
Evaluating Confidence in Toxicity Assessments Based on Experimental Data and In Silico Predictions.
Comput Toxicol
; 212022 Feb.
Artigo
Inglês
| MEDLINE | ID: mdl-35368849
14.
Principles and Procedures for Assessment of Acute Toxicity Incorporating In Silico Methods.
Comput Toxicol
; 242022 Nov.
Artigo
Inglês
| MEDLINE | ID: mdl-36818760
15.
A physiologically based toxicokinetic modelling approach to predict relevant concentrations for in vitro testing.
Arch Toxicol
; 85(6): 555-63, 2011 Jun.
Artigo
Inglês
| MEDLINE | ID: mdl-21046363
16.
In silico approaches in organ toxicity hazard assessment: current status and future needs in predicting liver toxicity.
Comput Toxicol
; 202021 Nov.
Artigo
Inglês
| MEDLINE | ID: mdl-35340402
17.
In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities.
Comput Toxicol
; 202021 Nov.
Artigo
Inglês
| MEDLINE | ID: mdl-35721273
18.
In Silico Approaches In Carcinogenicity Hazard Assessment: Current Status and Future Needs.
Comput Toxicol
; 202021 Nov.
Artigo
Inglês
| MEDLINE | ID: mdl-35368437
19.
Controlled formation of an axially bonded co-phthalocyanine dimer.
J Am Chem Soc
; 131(17): 6096-8, 2009 May 06.
Artigo
Inglês
| MEDLINE | ID: mdl-19364103
20.
Generating Modeling Data From Repeat-Dose Toxicity Reports.
Toxicol Sci
; 162(1): 287-300, 2018 03 01.
Artigo
Inglês
| MEDLINE | ID: mdl-29155963