Research & Development World

  • Home Page
  • Topics
    • Aerospace
    • Archeology
    • Automotive
    • Biotech
    • Chemistry
    • COVID-19
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Market Pulse
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
      • Software
    • Semiconductors
  • 2021 R&D 100 Award Winners
    • R&D 100 Awards
    • 2020 Winners
    • Winner Archive
  • Resources
    • Digital Issues
    • Podcasts
    • Subscribe
  • Global Funding Forecast
  • Webinars

Software Helps Find Drugs That Can be Repurposed to Treat Rare Diseases

By Louisiana State University | March 15, 2018

Chemotherapeutic vandetanib bound to its main target Protein Tyrosine Kinase 6 (PTK6) in purple, which is involved in many cancers including gastrointestinal tumors and ovarian cancers. By modeling vandetanib and PTK6 complex, researchers at LSU found that the KRAS protein to also contain a similar drug-binding site and therefore to be a good match for the same drug. The computer-generated model of KRAS in gold with vandetanib depicts the predicted interaction.

One in 10 people in America is fighting a rare disease, or a disorder that affects fewer than 200,000 Americans. Although there are more than 7,000 rare diseases that collectively affect more than 350 million people worldwide, it is not profitable for the pharmaceutical industry to develop new therapies to treat the small number of people suffering from each rare condition. Researchers at the LSU Computational Systems Biology group have developed a sophisticated and systematic way to identify existing drugs that can be repositioned to treat a rare disease or condition. They have fine-tuned a computer-assisted drug repositioning process that can save time and money in helping these patients receive effective treatment.

“Rare diseases sometimes affect such a small population that discovering treatments would not be financially feasible unless through humanitarian and governmental incentives. These conditions that are sometimes left untreated are labeled ‘orphan diseases.’ We developed a way to computationally find matches between rare disease protein structures and functions and existing drug interactions that can help treat patients with some of these orphan diseases,” said Misagh Naderi, one of the paper’s lead authors and a doctoral candidate in the LSU Department of Biological Sciences.

This research will be published this week in the npj Systems Biology and Applications journal, published by the Nature Publishing Group in partnership the Systems Biology Institute.

“In the past, most repurposed drugs were discovered serendipitously. For example, the drug amantadine was first introduced to treat respiratory infections. However, a few years later, a patient with Parkinson’s disease experienced a dramatic improvement of her disease symptoms while taking the drug to treat the flu. This observation sparked additional research. Now, amantadine is approved by the Food Drug Administration as both an antiviral and an antiparkinsonian drug. But, we can not only rely on chance to find a treatment for an orphan disease,” said Dr. Michal Brylinski, the head of the Computational Systems Biology group at LSU.

To systematize drug repurposing, Naderi, co-author Rajiv Gandhi Govindaraj and colleagues combined eMatchSite, a software developed by the same group with virtual screening to match FDA approved drugs and proteins that are involved in rare diseases. LSU super computers allows them to test millions of possibilities that will cost billions of dollars to test in the lab.

Related Articles Read More >

ENPICOM launches display solution to accelerate antibody selection while maximizing precision
Groundbreaking research could help paramedics save the lives of pedestrian casualties 
R&D 100 winner of the day: Slycat
R&D 100 winner of the day: dGen
2021 R&D Global Funding Forecast

Need R&D World news in a minute?

We Deliver!
R&D World Enewsletters get you caught up on all the mission critical news you need in research and development. Sign up today.
Enews Signup

R&D World Digital Issues

February 2020 issue

Browse the most current issue of R&D World and back issues in an easy to use high quality format. Clip, share and download with the leading R& magazine today.

Research & Development World
  • Subscribe to R&D World Magazine
  • Enews Sign Up
  • Contact Us
  • About Us
  • Drug Discovery & Development
  • Pharmaceutical Processing
  • 2021 Global Funding Forecast

Copyright © 2022 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy | Advertising | About Us

Search R&D World

  • Home Page
  • Topics
    • Aerospace
    • Archeology
    • Automotive
    • Biotech
    • Chemistry
    • COVID-19
    • Environment
    • Energy
    • Life Science
    • Material Science
    • R&D Market Pulse
    • R&D Management
    • Physics
  • Technology
    • 3D Printing
    • A.I./Robotics
    • Battery Technology
    • Controlled Environments
      • Cleanrooms
      • Graphene
      • Lasers
      • Regulations/Standards
      • Sensors
    • Imaging
    • Nanotechnology
    • Scientific Computing
      • Big Data
      • HPC/Supercomputing
      • Informatics
      • Security
      • Software
    • Semiconductors
  • 2021 R&D 100 Award Winners
    • R&D 100 Awards
    • 2020 Winners
    • Winner Archive
  • Resources
    • Digital Issues
    • Podcasts
    • Subscribe
  • Global Funding Forecast
  • Webinars