# BIOINFORMATICS SUPPORT FOR DNTP & DIR

> **NIH NIH N01** · SCIOME, LLC · 2024 · $475,000

## Abstract

The contractor also develops QSAR models for predictive toxicology, for example, using the Tox21 in-vitro High Throughput Screening (HTS) data, and builds predictive models . These models are built using various chemical features, tested using cross-validation and external test validations for their prediction accuracy, assessed for applicability domain, and deployed in user friendly tools such as OrbiTox for ease of use.

## Key facts

- **NIH application ID:** 11218778
- **Project number:** 75N96022C00005-P00003-9999-3
- **Recipient organization:** SCIOME, LLC
- **Principal Investigator:** Ruchir Shah
- **Activity code:** N01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $475,000
- **Award type:** —
- **Project period:** 2022-09-24 → 2024-03-23

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11218778

## Citation

> US National Institutes of Health, RePORTER application 11218778, BIOINFORMATICS SUPPORT FOR DNTP & DIR (75N96022C00005-P00003-9999-3). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/11218778. Licensed CC0.

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