OCT 22, 2019 10:28 PM PDT

Machine-Learning and Epigenetics Drug Discovery

WRITTEN BY: Nouran Amin

Machine learning is known for detecting patterns seen in complex data—such uniqueness has proven it roles in health and medicine. Now, researchers at Sanford Burnham Prebys Medical Discovery Institute have created a machine-learning algorithm that can retrieve information from microscope images. The development can allow high-throughput epigenetic drug screens and advance the search for unlocking new treatments for wide range of diseases from cancer to mental illness and more.

Epigenetics is about the chemical tags on our DNA that can alter how our genes express our basic features and qualities, learn more:

Taking a therapeutic drug for treating an illness can be influenced by our epigenetic state and therefore, several studies around drug discovery target epigenetic alterations. However, the process has been met with challenges due to the lack of high-throughput screening methods.

"In order to identify the rare few drug candidates that induce desired epigenetic effects, scientists need methods to screen hundreds of thousands of potential compounds," says Alexey Terskikh, Ph.D., associate professor in Sanford Burnham Prebys' Development, Aging and Regeneration Program and senior author of the study. "Our study describes a powerful image-based approach that enables high-throughput epigenetic drug discovery."

The findings of the study were published in the journal, eLife.

"Our method is ready for immediate use by pharmaceutical companies looking to develop epigenetic drug screens," says Chen Farhy, Ph.D., a postdoctoral researcher in the Terskikh lab and first author of the study. "Industry and academic researchers working on mechanistic studies may also benefit from this method, as the algorithm can detect and categorize epigenetic changes induced by experimental treatments, genetic manipulations or other approaches."

Source: Science Daily

About the Author
  • Nouran enjoys writing on various topics including science & medicine, global health, and conservation biology. She hopes through her writing she can make science more engaging and communicable to the general public.
You May Also Like
NOV 14, 2019
Space & Astronomy
NOV 14, 2019
Martian Helicopter Attached to the Mars 2020 Rover Chassis
It seems like this past week was a particularly productive one for the team over at NASA. Not only were the two halves of the James Webb Space Telescope (J...
NOV 14, 2019
Technology
NOV 14, 2019
Online Brain Games Enable 'Cognitive Youth'
A recent study by researchers in the University of California, Irvine—have found that online brain game activities have a positive effect on extendin...
NOV 14, 2019
Chemistry & Physics
NOV 14, 2019
Prototype Generator Sucks Energy Out of "Complete Darkness"
The way the humankind harvest energy has come a long way. Our ancestors burned organic matters (tree branches, wax, and hays), and took advantage of the ki...
NOV 14, 2019
Cardiology
NOV 14, 2019
Clear, Flexible Vital Sign Wearable Monitors
Wearable health monitors are gaining in popularity, both for fitness tracking and for gathering more targeted health data relating to heart disease and oth...
NOV 14, 2019
Space & Astronomy
NOV 14, 2019
SpaceX Will Need to Demonstrate a Dragon Capsule Abort for NASA
NASA’s Commercial Crew initiative enabled third-party contractors such as Boeing and SpaceX to develop platforms that may be used in future crewed mi...
NOV 14, 2019
Clinical & Molecular DX
NOV 14, 2019
Patients can Self-Inject Easily Using an Integrated Pre-Filled Syringe and Autoinjector
The patients suffering from chronic disease require a regular dose of medicines, either orally or as injections. To prevent a monthly visit...
Loading Comments...