# Informatics Core

> **NIH NIH U54** · WASHINGTON STATE UNIVERSITY · 2020 · $438,396

## Abstract

PROJECT SUMMARY OF THE INFORMATICS CORE
Natural product (NP)-drug interaction (NPDI) research spans several disciplines that include sourcing and
characterizing candidate NP materials (Analytical Core), in vitro and clinical assessment of NPDI liability
(Pharmacology Core), and data dissemination (Informatics Core). The existing Center of Excellence for NPDI
Research (NaPDI Center), currently in its fifth successful year, consists of world-renowned experts in each of
these areas and provides leadership for NPDI research. The Informatics Core has created a cloud-based data
repository that provides a secure workflow for manual NPDI study data entry and publishing. The repository is a
leading example of how to make NPDI data findable, accessible, interoperable, and reusable (FAIR). The long-
term sustainability of the data repository is dependent on its usefulness to relevant stakeholders. The Informatics
Core component of this renewal application proposes three SPECIFIC AIMS that refine the data repository and
expand the informatics power of the NaPDI Center. AIM 1: The Core will add features to the data repository to
increase its usefulness for a growing community of NPDI researchers, including companion R21 grantees. Such
features include a streamlined external data submission process based on simple-to-use data entry forms and
web services that use a common data format. New data summaries and visualizations will provide researchers
a complete evidence-based overview of each NP’s potential to precipitate pharmacokinetic NPDIs. AIM 2: The
Pharmacology Core previously developed a highly effective and robust method, termed the fulcrum model, for
selecting and prioritizing NPs as potential precipitants of NPDIs. Application of this novel model is currently a
time-consuming manual task. The Informatics Core will innovate the fulcrum model by developing an informatics-
based method to expedite the collection and summarization of data needed to apply the fulcrum model, providing
an automated and continual appraisal of high priority NPs to the Center and external NP researchers. The Core
will also innovate the identification of NPs by generating pharmacovigilance signal data for NPs using data from
poison center reports and two FDA adverse event reporting systems. This new feature will provide researchers
with important insight into the types of reported adverse events and concomitant exposures involving NPs. AIM
3: The Informatics Core will broaden the usage and utility of the data repository for both the research community
and clinical practice stakeholders. To capture scientists across the spectrum of disciplines in NPDI research, we
will expand our marketing strategy. To capture clinical practice stakeholders who consider potential NPDIs during
medication ordering and reconciliation activities, we will design NPDI clinical decision support artifacts and
services through a user-centered approach inspired by recent advances in decision support for pote...

## Key facts

- **NIH application ID:** 10062147
- **Project number:** 2U54AT008909-06
- **Recipient organization:** WASHINGTON STATE UNIVERSITY
- **Principal Investigator:** Richard David Boyce
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $438,396
- **Award type:** 2
- **Project period:** 2015-09-01 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10062147

## Citation

> US National Institutes of Health, RePORTER application 10062147, Informatics Core (2U54AT008909-06). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10062147. Licensed CC0.

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