OrbiTox: a visualization platform for NAMs and read-across exploration of multi-domain data

The development of new approach methodologies (NAMs) for next-generation risk assessment (NGRA) requires the integration of diverse data streams. A comprehensive understanding of a chemical's potential hazard involves combining multiple mechanistic data, usually from <i>in vitro</i> and <i>in silico</i> studies, to build a coherent weight-of-evidence case. Currently, the lack of tools to effectively aggregate and navigate disparate datasets makes regulatory evaluation a challenging process. OrbiTox addresses this need by consolidating millions of data points from multiple domains, i.e., chemical properties, genes, pathways, and bioactivities, into an intuitive and interactive 3D visualization platform. To support comprehensive chemical assessments, OrbiTox incorporates hundreds of quantitative structure-activity relationship (QSAR) models for robust gap-filling of key endpoints. It also facilitates read-across by enabling the retrieval of data-rich chemical analogs with similar structures and metabolic profiles. By unifying experimental data and predictive models within a user-friendly interface, OrbiTox facilitates data-driven chemical safety assessments.

Authors

Institutions

Publication Details

Journal
Frontiers in Pharmacology
Published
2025-12-01
DOI
https://doi.org/10.3389/fphar.2025.1710864
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

OrbiTox: a visualization platform for NAMs and read-across exploration of multi-domain data

Adrian J. Green, Austin Ross, Brian Kidd, Alexander Sedykh et al.
1 citations
Frontiers in Pharmacology
Computational Drug Discovery Methods
1.50
article

OrbiTox: a visualization platform for NAMs and read-across exploration of multi-domain data

Adrian J. Green, Austin Ross, Brian Kidd, Alexander Sedykh, Jason Phillips, Mihir Shah, Vijay K. Gombar, Alexandre Borrel, Warren Casey, Dhiral Phadke, Deepak Mav, Ruchir Shah, Brian Howard, Nicole C Kleinstreuer, Michelle Balik-Meisner
article en
1 citations

Abstract

The development of new approach methodologies (NAMs) for next-generation risk assessment (NGRA) requires the integration of diverse data streams. A comprehensive understanding of a chemical's potential hazard involves combining multiple mechanistic data, usually from <i>in vitro</i> and <i>in silico</i> studies, to build a coherent weight-of-evidence case. Currently, the lack of tools to effectively aggregate and navigate disparate datasets makes regulatory evaluation a challenging process. OrbiTox addresses this need by consolidating millions of data points from multiple domains, i.e., chemical properties, genes, pathways, and bioactivities, into an intuitive and interactive 3D visualization platform. To support comprehensive chemical assessments, OrbiTox incorporates hundreds of quantitative structure-activity relationship (QSAR) models for robust gap-filling of key endpoints. It also facilitates read-across by enabling the retrieval of data-rich chemical analogs with similar structures and metabolic profiles. By unifying experimental data and predictive models within a user-friendly interface, OrbiTox facilitates data-driven chemical safety assessments.

Frontiers in PharmacologyVol. 16
Research Triangle Park Foundation (US), National Institute of Environmental Health Sciences (US)
Openalex Percentile: Top 12%
Computational Drug Discovery Methods
1.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.