MOTIVATION: Scientists and regulators are often faced with complex decisions, where use of scarce resources must be prioritized using collections of diverse information. The Toxicological Prioritization Index (ToxPi™) was developed to enable integration of multiple sources of evidence on exposure and/or safety, transformed into transparent visual rankings to facilitate decision making. The rankings and associated graphical profiles can be used to prioritize resources in various decision contexts, such as testing chemical toxicity or assessing similarity of predicted compound bioactivity profiles. The amount and types of information available to decision makers are increasing exponentially, while the complex decisions must rely on specialized domain knowledge across multiple criteria of varying importance. Thus, the ToxPi bridges a gap, combining rigorous aggregation of evidence with ease of communication to stakeholders. RESULTS: An interactive ToxPi graphical user interface (GUI) application has been implemented to allow straightforward decision support across a variety of decision-making contexts in environmental health. The GUI allows users to easily import and recombine data, then analyze, visualize, highlight, export and communicate ToxPi results. It also provides a statistical metric of stability for both individual ToxPi scores and relative prioritized ranks. AVAILABILITY: The ToxPi GUI application, complete user manual and example data files are freely available from http://comptox.unc.edu/toxpi.php.
MOTIVATION: Scientists and regulators are often faced with complex decisions, where use of scarce resources must be prioritized using collections of diverse information. The Toxicological Prioritization Index (ToxPi™) was developed to enable integration of multiple sources of evidence on exposure and/or safety, transformed into transparent visual rankings to facilitate decision making. The rankings and associated graphical profiles can be used to prioritize resources in various decision contexts, such as testing chemical toxicity or assessing similarity of predicted compound bioactivity profiles. The amount and types of information available to decision makers are increasing exponentially, while the complex decisions must rely on specialized domain knowledge across multiple criteria of varying importance. Thus, the ToxPi bridges a gap, combining rigorous aggregation of evidence with ease of communication to stakeholders. RESULTS: An interactive ToxPi graphical user interface (GUI) application has been implemented to allow straightforward decision support across a variety of decision-making contexts in environmental health. The GUI allows users to easily import and recombine data, then analyze, visualize, highlight, export and communicate ToxPi results. It also provides a statistical metric of stability for both individual ToxPi scores and relative prioritized ranks. AVAILABILITY: The ToxPi GUI application, complete user manual and example data files are freely available from http://comptox.unc.edu/toxpi.php.
Authors: David M Reif; Matthew T Martin; Shirlee W Tan; Keith A Houck; Richard S Judson; Ann M Richard; Thomas B Knudsen; David J Dix; Robert J Kavlock Journal: Environ Health Perspect Date: 2010-09-08 Impact factor: 9.031
Authors: Oksana Sirenko; Fabian A Grimm; Kristen R Ryan; Yasuhiro Iwata; Weihsueh A Chiu; Frederick Parham; Jessica A Wignall; Blake Anson; Evan F Cromwell; Mamta Behl; Ivan Rusyn; Raymond R Tice Journal: Toxicol Appl Pharmacol Date: 2017-03-01 Impact factor: 4.219
Authors: Oksana Sirenko; Evan F Cromwell; Carole Crittenden; Jessica A Wignall; Fred A Wright; Ivan Rusyn Journal: Toxicol Appl Pharmacol Date: 2013-10-01 Impact factor: 4.219
Authors: Yen Low; Alexander Sedykh; Denis Fourches; Alexander Golbraikh; Maurice Whelan; Ivan Rusyn; Alexander Tropsha Journal: Chem Res Toxicol Date: 2013-08-05 Impact factor: 3.739