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CATMoS: Collaborative Acute Toxicity Modeling Suite

Authors :
Mansouri, K
Karmaus, A
Fitzpatrick, J
Patlewicz, G
Pradeep, P
Alberga, D
Alepee, N
Allen, T
Allen, D
Alves, V
Andrade, C
Auernhammer, T
Ballabio, D
Bell, S
Benfenati, E
Bhattacharya, S
Bastos, J
Boyd, S
Brown, J
Capuzzi, S
Chushak, Y
Ciallella, H
Clark, A
Consonni, V
Daga, P
Ekins, S
Farag, S
Fedorov, M
Fourches, D
Gadaleta, D
Gao, F
Gearhart, J
Goh, G
Goodman, J
Grisoni, F
Grulke, C
Hartung, T
Hirn, M
Karpov, P
Korotcov, A
Lavado, G
Lawless, M
Li, X
Luechtefeld, T
Lunghini, F
Mangiatordi, G
Marcou, G
Marsh, D
Martin, T
Mauri, A
Muratov, E
Myatt, G
Nguyen, D
Nicolotti, O
Note, R
Pande, P
Parks, A
Peryea, T
Polash, A
Rallo, R
Roncaglioni, A
Rowlands, C
Ruiz, P
Russo, D
Sayed, A
Sayre, R
Sheils, T
Siegel, C
Silva, A
Simeonov, A
Sosnin, S
Southall, N
Strickland, J
Tang, Y
Teppen, B
Tetko, I
Thomas, D
Tkachenko, V
Todeschini, R
Toma, C
Tripodi, I
Trisciuzzi, D
Tropsha, A
Varnek, A
Vukovic, K
Wang, Z
Wang, L
Waters, K
Wedlake, A
Wijeyesakere, S
Wilson, D
Xiao, Z
Yang, H
Zahoranszky-Kohalmi, G
Zakharov, A
Zhang, F
Zhang, Z
Zhao, T
Zhu, H
Zorn, K
Casey, W
Kleinstreuer, N
Mansouri, Kamel
Karmaus, Agnes L
Fitzpatrick, Jeremy
Patlewicz, Grace
Pradeep, Prachi
Alberga, Domenico
Alepee, Nathalie
Allen, Timothy E H
Allen, Dave
Alves, Vinicius M
Andrade, Carolina H
Auernhammer, Tyler R
Ballabio, Davide
Bell, Shannon
Benfenati, Emilio
Bhattacharya, Sudin
Bastos, Joyce V
Boyd, Stephen
Brown, J B
Capuzzi, Stephen J
Chushak, Yaroslav
Ciallella, Heather
Clark, Alex M
Consonni, Viviana
Daga, Pankaj R
Ekins, Sean
Farag, Sherif
Fedorov, Maxim
Fourches, Denis
Gadaleta, Domenico
Gao, Feng
Gearhart, Jeffery M
Goh, Garett
Goodman, Jonathan M
Grisoni, Francesca
Grulke, Christopher M
Hartung, Thomas
Hirn, Matthew
Karpov, Pavel
Korotcov, Alexandru
Lavado, Giovanna J
Lawless, Michael
Li, Xinhao
Luechtefeld, Thomas
Lunghini, Filippo
Mangiatordi, Giuseppe F
Marcou, Gilles
Marsh, Dan
Martin, Todd
Mauri, Andrea
Muratov, Eugene N
Myatt, Glenn J
Nguyen, Dac-Trung
Nicolotti, Orazio
Note, Reine
Pande, Paritosh
Parks, Amanda K
Peryea, Tyler
Polash, Ahsan H
Rallo, Robert
Roncaglioni, Alessandra
Rowlands, Craig
Ruiz, Patricia
Russo, Daniel P
Sayed, Ahmed
Sayre, Risa
Sheils, Timothy
Siegel, Charles
Silva, Arthur C
Simeonov, Anton
Sosnin, Sergey
Southall, Noel
Strickland, Judy
Tang, Yun
Teppen, Brian
Tetko, Igor V
Thomas, Dennis
Tkachenko, Valery
Todeschini, Roberto
Toma, Cosimo
Tripodi, Ignacio
Trisciuzzi, Daniela
Tropsha, Alexander
Varnek, Alexandre
Vukovic, Kristijan
Wang, Zhongyu
Wang, Liguo
Waters, Katrina M
Wedlake, Andrew J
Wijeyesakere, Sanjeeva J
Wilson, Dan
Xiao, Zijun
Yang, Hongbin
Zahoranszky-Kohalmi, Gergely
Zakharov, Alexey V
Zhang, Fagen F
Zhang, Zhen
Zhao, Tongan
Zhu, Hao
Zorn, Kimberley M
Casey, Warren
Kleinstreuer, Nicole C
Mansouri, K
Karmaus, A
Fitzpatrick, J
Patlewicz, G
Pradeep, P
Alberga, D
Alepee, N
Allen, T
Allen, D
Alves, V
Andrade, C
Auernhammer, T
Ballabio, D
Bell, S
Benfenati, E
Bhattacharya, S
Bastos, J
Boyd, S
Brown, J
Capuzzi, S
Chushak, Y
Ciallella, H
Clark, A
Consonni, V
Daga, P
Ekins, S
Farag, S
Fedorov, M
Fourches, D
Gadaleta, D
Gao, F
Gearhart, J
Goh, G
Goodman, J
Grisoni, F
Grulke, C
Hartung, T
Hirn, M
Karpov, P
Korotcov, A
Lavado, G
Lawless, M
Li, X
Luechtefeld, T
Lunghini, F
Mangiatordi, G
Marcou, G
Marsh, D
Martin, T
Mauri, A
Muratov, E
Myatt, G
Nguyen, D
Nicolotti, O
Note, R
Pande, P
Parks, A
Peryea, T
Polash, A
Rallo, R
Roncaglioni, A
Rowlands, C
Ruiz, P
Russo, D
Sayed, A
Sayre, R
Sheils, T
Siegel, C
Silva, A
Simeonov, A
Sosnin, S
Southall, N
Strickland, J
Tang, Y
Teppen, B
Tetko, I
Thomas, D
Tkachenko, V
Todeschini, R
Toma, C
Tripodi, I
Trisciuzzi, D
Tropsha, A
Varnek, A
Vukovic, K
Wang, Z
Wang, L
Waters, K
Wedlake, A
Wijeyesakere, S
Wilson, D
Xiao, Z
Yang, H
Zahoranszky-Kohalmi, G
Zakharov, A
Zhang, F
Zhang, Z
Zhao, T
Zhu, H
Zorn, K
Casey, W
Kleinstreuer, N
Mansouri, Kamel
Karmaus, Agnes L
Fitzpatrick, Jeremy
Patlewicz, Grace
Pradeep, Prachi
Alberga, Domenico
Alepee, Nathalie
Allen, Timothy E H
Allen, Dave
Alves, Vinicius M
Andrade, Carolina H
Auernhammer, Tyler R
Ballabio, Davide
Bell, Shannon
Benfenati, Emilio
Bhattacharya, Sudin
Bastos, Joyce V
Boyd, Stephen
Brown, J B
Capuzzi, Stephen J
Chushak, Yaroslav
Ciallella, Heather
Clark, Alex M
Consonni, Viviana
Daga, Pankaj R
Ekins, Sean
Farag, Sherif
Fedorov, Maxim
Fourches, Denis
Gadaleta, Domenico
Gao, Feng
Gearhart, Jeffery M
Goh, Garett
Goodman, Jonathan M
Grisoni, Francesca
Grulke, Christopher M
Hartung, Thomas
Hirn, Matthew
Karpov, Pavel
Korotcov, Alexandru
Lavado, Giovanna J
Lawless, Michael
Li, Xinhao
Luechtefeld, Thomas
Lunghini, Filippo
Mangiatordi, Giuseppe F
Marcou, Gilles
Marsh, Dan
Martin, Todd
Mauri, Andrea
Muratov, Eugene N
Myatt, Glenn J
Nguyen, Dac-Trung
Nicolotti, Orazio
Note, Reine
Pande, Paritosh
Parks, Amanda K
Peryea, Tyler
Polash, Ahsan H
Rallo, Robert
Roncaglioni, Alessandra
Rowlands, Craig
Ruiz, Patricia
Russo, Daniel P
Sayed, Ahmed
Sayre, Risa
Sheils, Timothy
Siegel, Charles
Silva, Arthur C
Simeonov, Anton
Sosnin, Sergey
Southall, Noel
Strickland, Judy
Tang, Yun
Teppen, Brian
Tetko, Igor V
Thomas, Dennis
Tkachenko, Valery
Todeschini, Roberto
Toma, Cosimo
Tripodi, Ignacio
Trisciuzzi, Daniela
Tropsha, Alexander
Varnek, Alexandre
Vukovic, Kristijan
Wang, Zhongyu
Wang, Liguo
Waters, Katrina M
Wedlake, Andrew J
Wijeyesakere, Sanjeeva J
Wilson, Dan
Xiao, Zijun
Yang, Hongbin
Zahoranszky-Kohalmi, Gergely
Zakharov, Alexey V
Zhang, Fagen F
Zhang, Zhen
Zhao, Tongan
Zhu, Hao
Zorn, Kimberley M
Casey, Warren
Kleinstreuer, Nicole C
Publication Year :
2021

Abstract

Background: Humans are exposed to tens of thousands of chemical substances that need to be 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 tox- icity predictions without using animals. Objkctivks: The U.S. Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM) Acute Toxicity Workgroup organ- ized an international collaboration to develop in silica 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 (five) categories, very toxic chemicals [LD50 (LD50 ≤ 50 mg/kg)], and nontoxic chemicals (LD50 > 2,000 mg/kg). Mkthods: 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 viva results. Discussion: CATMoS is being evaluated by regulatory agencies for its utility and applicability as a potential replacement for in viva rat acute oral toxicity studies. CATMoS predictions for more than 800,000 chemica

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1308938959
Document Type :
Electronic Resource