Integrative computational approaches to inform relative bioaccumulation potential of per- and polyfluoroalkyl substances (PFAS) across species
Datasets included in the entry are Results from the US Environmental Protection Agency Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool and from the molecular modeling workflow that includes molecular docking and molecular dynamic simulations. All data that are represented in the figures, tables, and supplemental materials associated with this manuscript are included in this dataset entry.
This dataset is associated with the following publication:
Cheng, W., J. Doering, C. LaLone, and C. Ng. Integrative computational approaches to inform relative bioaccumulation potential of per- and polyfluoroalkyl substances (PFAS) across species. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 180(2): 212-223, (2021).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Carlie Lalone",
"hasEmail": "mailto:lalone.carlie@epa.gov"
}
|
| description | Datasets included in the entry are Results from the US Environmental Protection Agency Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool and from the molecular modeling workflow that includes molecular docking and molecular dynamic simulations. All data that are represented in the figures, tables, and supplemental materials associated with this manuscript are included in this dataset entry. This dataset is associated with the following publication: Cheng, W., J. Doering, C. LaLone, and C. Ng. Integrative computational approaches to inform relative bioaccumulation potential of per- and polyfluoroalkyl substances (PFAS) across species. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 180(2): 212-223, (2021). |
| distribution |
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|
| identifier | https://doi.org/10.23719/1519247 |
| keyword |
[
"Liver fatty acid binding protein",
"Per- and poly-fluoroalkyl substances",
"SeqAPASS",
"adverse outcome pathway",
"bioaccumulation",
"cross-species extrapolation",
"ecotoxicology",
"honey bee",
"molecular modeling",
"networks",
"screening and prioritization"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2020-08-31 |
| programCode |
[
"020:095"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.1093/toxsci/kfab004"
]
|
| rights |
null
|
| title | Integrative computational approaches to inform relative bioaccumulation potential of per- and polyfluoroalkyl substances (PFAS) across species |
