# Bioinformatics and Computational Biology Core

> **NIH NIH U54** · INDIANA UNIVERSITY INDIANAPOLIS · 2020 · $1,027,735

## Abstract

Project Summary
Alzheimer’s disease (AD) affects about 40 million people worldwide today, and is the most common form of
dementia found predominantly in elderly people. AD is a highly heterogeneous disease with major symptoms
including progressive memory and cognitive domain deterioration over years, which eventually leads to death
about 3-9 years after diagnosis. During the past few decades, many hypotheses have been proposed as potential
mechanisms for AD, which involve multiple biological processes such as proteopathogenesis, mitochondrial
abnormality, viral infection, and other glia cell-mediated immunological response. However, the disease etiology
and mechanism still remain unclear, and currently, there is still no curative treatment for AD. During the past
years, multiple endeavors have been taken by the AD research community to identify potential drug targets.
Among them, AMP ADis leading the charge of generating drug target candidates based on evidences from
multiple studies. With the large amount of data accumulated from these projects, it calls for deeper analysis
coupled with extensive downstream drug development technologies to refine the target candidate lists and also
identify potential new targets as well as possible drugs. The ADDD project aims to establish the entire workflow
for this process and ambitiously discover new drugs for AD. As part of the overall effort of the our ADDD project,
the Bioinformatics and Computational Biology Core (BCB Core) will play a critical role in this team. The BCB
Core will play three major roles. First, the BCB Core will lead the development of the infrastructure enabling
curation, processing, analysis, visualization, and sharing of large AD datasets from this project as well as public
sources. Secondly, the BCB Core will develop and establish advanced and novel data integration methods for
predicting and prioritizing druggable targets as well as potential repurposing drug candidates for AD. Last but
not the least, the BCB Core will provide bioinformatics data processing and analysis support for the entire project
covering the lifecycle of the AD drug target identification and testing by closely collaborating and coordinating
with other cores for the ADDD center.

## Key facts

- **NIH application ID:** 10017155
- **Project number:** 5U54AG065181-02
- **Recipient organization:** INDIANA UNIVERSITY INDIANAPOLIS
- **Principal Investigator:** Kun Huang
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,027,735
- **Award type:** 5
- **Project period:** 2019-09-30 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10017155

## Citation

> US National Institutes of Health, RePORTER application 10017155, Bioinformatics and Computational Biology Core (5U54AG065181-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10017155. Licensed CC0.

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