Host-based anti-microbial peptides as therapeutic strategies for alphavirus infections

Abstract

The effort proposed will develop novel synthetic antimicrobial peptides (AMPs) that can exert dual-functionality (antiviral and anti-inflammatory functions) in the context of alphavirus infections. Objectives are to Generate data on the applicability of membrane-permeable peptides that were generated based on machine learning (ML) approaches to reducing viral and inflammatory load in the context of the blood brain barrier (BBB). Generate data on the dual functionality of novel synthetic piscidin-based peptides to exert broad spectrum antiviral and anti-inflammatory activities in the context of acute viral infections. Generate data on the potential for combinatorial intervention strategies (small molecules and peptides) to elicit antiviral and anti-inflammatory outcomes. Generate data on delivery mechanisms to deliver a consistent payload of peptides in in vitro models to achieve extended dual-function outcomes. Generate proof of concept data on evaluation of in vivo efficacy of the synthetic AMPs either as single or as combinatorial approaches.

Document Details

Document Type
DoD Grant Award
Publication Date
Dec 19, 2022
Source ID
HDTRA12210031

Entities

People

  • Aarthi Narayanan

Organizations

  • Defense Threat Reduction Agency
  • George Mason University

Tags

Fields of Study

  • Medicine

Readers

  • Immunology and Pathology
  • Molecular and Cellular Biochemistry
  • Virology (or Medical Virology).

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Biotechnology
  • Biotechnology - Cancer Biotech