Skip to content
Northwest Trail

Northwest Trail

  • Nominations for IChemE 2023 Awards are Now Open Business
  • Sharing their strategy for attracting new clients, Peacock goes into detail Internet
  • Mococa Produtos Alimentícios, a Brazilian dairy brand, invested in SIG’s PAC. Trust operational digitisation Business
  • Importance Of Data And File Recovery Software Technology
  • DNA from long ago shows where the Black Death started News
  • OnePlus 5T Buyback Scheme Rolled Out In India Technology
  • Carbon emissions might be reduced by using a new magnetic material in refrigerators Business
  • Here’s How You Can Trace A Plumbing Leak News

Faster drug discovery could be achieved with the use of machine learning

Posted on January 13, 2022 By admin No Comments on Faster drug discovery could be achieved with the use of machine learning

Scientists discovered in a study published in the journal Science Advances that a high-precision machine learning model might be used to speed up the process of drug discovery.

The new model can accurately predict the interactions between proteins and medications based on only a small number of reference studies or simulations, according to the researchers. Only a few instances are required to train the model, and after that, it can reliably predict whether or not a drug candidate’s molecule will bind to a target protein with a 95% accuracy rate.

See also  Scientists have devised a useful chemical data management model

Faster drug discovery could be achieved with the use of machine learning.

To put it another way, this is equivalent to being able to predict the activity of hundreds of chemicals after only a few tests – and doing it with high confidence. The unique technique has the potential to increase the pace of candidate molecule screening by a factor of a ten thousand, according to the researchers.

Read Also: When It Comes To Wireless Charging, How Do You Do It?

Aside from that, by providing light on the nature of intermolecular forces and helping scientists to better understand how molecules interact with one another, the technique has the potential to transform materials and chemical modelling.

See also  IBM Plans Hourly Weather Forecast Around the World

This method, which makes use of local information from each atom’s immediate surroundings, may address a wide range of chemical, materials science, and biochemical challenges, among others.

With this technology, it is possible to forecast organic molecules and silicon structures that are crucial for microelectronic applications with amazing accuracy, and it does so at a fraction of the computational cost of a quantum mechanical calculation.

See also  To Detect Disease Signs Ten Years In Advance With a New Dementia Test

Machine learning and artificial intelligence techniques are already being used to develop innovations such as self-driving cars, go-playing bots, and automated medical diagnostics, and they are now being used to advance chemical and materials discoveries.

Because of recent advances in algorithmic technology, we can predict the behaviour of novel materials and molecules with surprising accuracy and with low computational effort, so saving both time and money in the process.###

Health, Technology

Post navigation

Previous Post: When It Comes To Wireless Charging, How Do You Do It?
Next Post: Achieving Financial Independence by Overcoming Difficulties

Related Posts

  • All of the New Features in Chrome 98 that are worth experimenting with Internet
  • Statistical Analysis of the Underwater Drone Market through the year 2027 News
  • The Myth of Walking 10,000 Steps a Day Has Been Disproved by Scientists Health
  • mAadhaar App For iOS To Roll Out Soon Technology
  • A New Generation of Intelligent Virtual Assistants Is Taking the World By Storm News
  • Retail stores announce change of operating hours Health

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

  • Automobile
  • Business
  • Education
  • Entertainment
  • Finance
  • Health
  • Internet
  • News
  • Sports
  • Technology
  • Uncategorized
  • Orthotic Devices Market: Types, Applications, Growth Factors
  • Vibrant Vibes: A Guide to Customizing Your Discord Color Scheme
  • Exploring the Global Tactical Footwear Market 2023
  • Licorice Extract Market: Growth Factors, Industry Trends and Forecast 2023
  • Tangential flow filtration (TFF): Market Drivers And Opportunities 2023-2030
  • Carotenoids Are Being Used by the Food and Beverage Industry Health
  • Orthotic Devices Market: Types, Applications, Growth Factors Health
  • Proxy War Techniques Employed By Israel Killed 2,700 in 70 years News
  • MCD Rolls Out Mobile App 311 Technology
  • Hyperhidrosis Treatment Market Growth Report 2022-2028 Health
  • Working Methods To Promote A Dumpster Rental Business Online Business
  • DNA from long ago shows where the Black Death started News
  • Researchers have discovered a new additive material that might one day make fuel cell powered vehicles a reality Business

Copyright © 2023 Northwest Trail.

Powered by PressBook News WordPress theme