Original Research
Accepted on 21 Nov 2025
MoltiTox: A MultiModal Fusion Model for Molecular Toxicity Prediction
in Computational Toxicology and Informatics
Frontiers in Toxicology
- 115 views
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47 articles
Original Research
Accepted on 17 Nov 2025
Retrospective Analysis of Clinical Laboratory Parameters in Han Wistar Rat Controls
in Computational Toxicology and Informatics
Frontiers in Toxicology
- 101 views
Review
Published on 07 Oct 2025
Advancing human health risk assessment: the role of new approach methodologies
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2025.1632941
- 1,918 views
Original Research
Published on 22 Jul 2025
A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2025.1640612
- 2,464 views
Brief Research Report
Published on 07 Jul 2025
Unlocking liver physiology: comprehensive pathway maps for mechanistic understanding
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2025.1619651
- 3,176 views
- 1 citation
Original Research
Published on 15 May 2025
Quantitative adverse outcome pathway modeling for cigarette smoke-inducible airway mucus hypersecretion. Part 2: Bayesian network modeling for probabilistic risk estimation
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2025.1564864
- 1,667 views
Brief Research Report
Published on 22 Apr 2025
Elucidating the mechanistic relationships between peroxisome proliferator–activated receptors and hepatic fibrosis using the ROBOKOP knowledge graph
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2025.1549268
- 1,826 views
Original Research
Published on 17 Apr 2025
Developing a predictive model for blood-brain-barrier permeability to explore relevance of in vitro neurotoxicity data for in vivo risk assessment
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2025.1535112
- 3,439 views
- 2 citations
Original Research
Published on 19 Feb 2025
Comparing computational times for simulations when using PBPK model template and stand-alone implementations of PBPK models
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2025.1518769
- 1,898 views
- 1 citation
Original Research
Published on 12 Feb 2025
TAME 2.0: expanding and improving online data science training for environmental health research
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2025.1535098
- 3,585 views
Review
Published on 08 Jan 2025
Validation framework for in vivo digital measures
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2024.1484895
- 3,653 views
- 2 citations
Original Research
Published on 24 Dec 2024
An Adverse Outcome Pathway for food nanomaterial-induced intestinal barrier disruption
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2024.1474397
- 2,210 views
- 1 citation
Original Research
Published on 17 Oct 2024
A new approach methodology to identify tumorigenic chemicals using short-term exposures and transcript profiling
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2024.1422325
- 2,547 views
- 2 citations
Original Research
Published on 01 Oct 2024
Workflow for predictive risk assessments of UVCBs: cheminformatics library design, QSAR, and read-across approaches applied to complex mixtures of metal naphthenates
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2024.1452838
- 2,065 views
Technology and Code
Published on 22 Jul 2024
Transforming environmental health datasets from the comparative toxicogenomics database into chord diagrams to visualize molecular mechanisms
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2024.1437884
- 2,922 views
- 11 citations
Methods
Published on 15 Jul 2024
sendigR: an R package to leverage the value of CDISC SEND datasets for cross-study analysis
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2024.1392686
- 3,555 views
- 2 citations