arrow
Return

CATMoS: Collaborative Acute Toxicity Modeling Suite

delete2021-04-01
delete91
delete
OA
AI
K
Kamel Mansouri
J
Jeremy Fitzpatrick
G
Grace Patlewicz
P
Prachi Pradeep
D
Domenico Alberga
N
Nathalie Alépée
T
Timothy E. H. Allen
D
Dave Allen
V
Vinícius M. Alves
C
Carolina Horta Andrade
T
Tyler R. Auernhammer
D
Davide Ballabio
S
Shannon Bell
E
Emilio Benfenati
S
Sudin Bhattacharya
J
Joyce V. Bastos
S
Stephen A. Boyd
J
J.B. Brown
S
Stephen J. Capuzzi
Y
Yaroslav Chushak
H
Heather L. Ciallella
A
Alex M. Clark
V
Viviana Consonni
P
Pankaj Daga
S
Sean Ekins
S
Sherif S. Farag
M
Maxim V. Fedorov
D
Denis Fourches
D
Domenico Gadaleta
F
Feng Gao
J
Jeffery M. Gearhart
G
Garett Goh
J
Jonathan M. Goodman
F
Francesca Grisoni
G
Grulke, Christopher M.
M
Matthew Hirn
P
Pavel Karpov
A
Alexandru Korotcov
G
Giovanna J. Lavado
M
Michael S. Lawless
X
Xinhao Li
T
Thomas Luechtefeld
F
Filippo Lunghini
G
Giuseppe Felice Mangiatordi
G
Gilles Marcou
D
Dan H. Marsh
T
Todd M. Martin
A
Andrea Mauri
E
Eugene Muratov
G
Glenn J. Myatt
Ð
Ðắc-Trung Nguyễn
O
Orazio Nicolotti
R
Reine Note
P
Paritosh Pande
A
Amanda K. Parks
T
Tyler Peryea
A
Ahsan Habib Polash
R
Robert Ralló
A
Alessandra Roncaglioni
C
Craig Rowlands
P
Patricia Ruiz
D
Daniel P. Russo
A
Ahmed E Sayed
R
Risa Sayre
T
Timothy Sheils
C
Charles Siegel
A
Arthur C. Silva
A
Anton Simeonov
S
Sergey Sosnin
S
Southall, Noel
J
Judy Strickland
唐赟 cover
唐赟 (Yun Tang)
B
Brian J. Teppen
I
Igor V. Tetko
D
Dennis Thomas
V
Valery Tkachenko
R
Roberto Todeschini
C
Cosimo Toma
I
Ignacio J. Tripodi
D
Daniela Trisciuzzi
A
Alexander Tropsha
A
Alexandre Varnek
K
Kristijan Vuković
Z
Zhongyu Wang
L
Liguo Wang
K
Katrina M. Waters
A
Andrew J. Wedlake
S
Sanjeeva J. Wijeyesakere
D
Dan Wilson
Z
Zijun Xiao
H
Hongbin Yang
G
Gergely Zahoránszky-Köhalmi
A
Alexey Zakharov
F
Fagen F. Zhang
张珍 (Zhen Zhang)
T
Tongan Zhao
H
Hao Zhu
K
Kimberley M. Zorn
W
Warren Casey
N
Nicole Kleinstreuer
DOI:10.1289/EHP8495delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
BACKGROUND: Humans are exposed to tens of thousands of chemical substances that need to he assessed for their potential toxicity. Acute systemic toxicity testing serves as the basis for regulatory hazard classification, labeling, and risk management. However, it is cost- and time-prohibitive to evaluate all new and existing chemicals using traditional rodent acute toxicity tests. In silica models built using existing data facilitate rapid acute toxicity predictions without using animals. OBJECTIVES: The U.S. Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM) Acute Toxicity Workgroup organized an international collaboration to develop in silico models for predicting acute oral toxicity based on five different end points: Lethal Dose 50 (LD50 value, U.S. Environmental Protection Agency hazard (four) categories, Globally Harmonized System for Classification and Labeling hazard (live) categories, very toxic chemicals [LD50 (LD50 <= 50 mg/kg)], and nontoxic chemicals (LD50 > 2,000 mg/kg). METHODS: An acute oral toxicity data inventory for 11,992 chemicals was compiled, split into training and evaluation sets, and made available to 35 participating international research groups that submitted a total of 139 predictive models. Predictions that fell within the applicability domains of the submitted models were evaluated using external validation sets. These were then combined into consensus models to leverage strengths of individual approaches. RESULTS: 'the resulting consensus predictions, which leverage the collective strengths of each individual model, form the Collaborative Acute Toxicity Modeling Suite (CATMoS). CATMoS demonstrated high performance in terms of accuracy and robustness when compared with in vivo results. DISCUSSION: CATMoS is being evaluated by regulatory agencies for its utility and applicability as a potential replacement for in vivo rat acute oral toxicity studies. CATMoS predictions for more than 800,000 chemicals have been made available via the National Toxicology Program's Integrated Chemical Environment tools and data sets (ice.ntp.niehs.nih.gov). The models are also implemented in a free, standalone, open-source tool, OPERA, which allows predictions of new: and untested chemicals to be made.
Keywords:
REGRESSION
SOFTWARE
PLATFORM
PROGRAM
FOREST
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Environmental Health Perspectives cover
Environmental Health Perspectives
IF:
9.8
Papers:
1.1W
Citations:
4.0W

Organization

L
l'oreal group
Scholars:
808
Papers: 387
Citations: 0
D
dow chemical company
Scholars:
2.6K
Papers: 1.6K
Citations: 0
U
united states environmental protection agency
Scholars:
7.7K
Papers: 6.5K
Citations: 5
P
Pacific Northwest National Laboratory
Scholars:
9.0K
Papers: 6.3K
Citations: 14
S
simulations plus, inc.
Scholars:
128
Papers: 113
Citations: 0
R
rutgers university camden
Scholars:
485
Papers: 398
Citations: 3
University of Colorado System cover
University of Colorado System
Scholars:
6.3W
Papers: 5.5W
Citations: 1.8K
N
national institutes of health (nih) - usa
Scholars:
10.3W
Papers: 8.2W
Citations: 111
U
university of milano-bicocca
Scholars:
2.0W
Papers: 1.5W
Citations: 22
U
universita degli studi di bari aldo moro
Scholars:
2.1W
Papers: 1.6W
Citations: 9
U
university of north carolina
Scholars:
7.4W
Papers: 6.5W
Citations: 93
R
rutgers university new brunswick
Scholars:
2.3W
Papers: 1.9W
Citations: 32
U
universite de strasbourg
Scholars:
1.5W
Papers: 1.1W
Citations: 18
R
rutgers university system
Scholars:
4.1W
Papers: 3.7W
Citations: 53
UL Research Institutes cover
UL Research Institutes
Scholars:
64
Papers: 33
Citations: 162
O
Oak Ridge Associated Universities
Scholars:
1.8K
Papers: 1.3K
Citations: 0
U
universidade federal de goias
Scholars:
7.2K
Papers: 4.5K
Citations: 4
H
Helmholtz Association
Scholars:
13.2W
Papers: 10.7W
Citations: 145
U
University of Cambridge
Scholars:
7.7W
Papers: 7.1W
Citations: 13.7W
U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246
I
istituto di ricerche farmacologiche mario negri irccs
Scholars:
4.8K
Papers: 3.8K
Citations: 12
U
university of colorado boulder
Scholars:
1.9W
Papers: 1.5W
Citations: 33
L
leadscope, inc.
Scholars:
24
Papers: 18
Citations: 0
U
universites de strasbourg etablissements associes
Scholars:
2.5W
Papers: 1.8W
Citations: 19
C
centers for disease control & prevention - usa
Scholars:
2.9W
Papers: 2.3W
Citations: 17
U
University of North Carolina Chapel Hill
Scholars:
3.9W
Papers: 3.1W
Citations: 46
M
michigan state university
Scholars:
3.6W
Papers: 3.2W
Citations: 44
N
North Carolina State University
Scholars:
2.6W
Papers: 2.3W
Citations: 3.7W
researcher View more organizations