• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Saturday, February 7, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Biology

Predicting inhibitor for multidrug resistance associated protein-2 transporter

Bioengineer by Bioengineer
December 18, 2018
in Biology
Reading Time: 2 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

This article by Dr. Prabha Garg et al. is published in Combinatorial Chemistry & High Throughput Screening, Volume 21 , Issue 8 , 2018

The efflux transporter multi-drug resistance associated protein-2 belongs to the ATP-binding cassette super-family. This family of proteins plays a very important role in multiple drug resistance and drug-drug interactions. These efflux transporters are considered to be the most important targets for the incremental efficacy of drugs. Researchers use them for studying efflux transporters for purpose of anticipating substrates, non-substrates, inhibitors and non-inhibitors. The work that was previously done on predictive models for the inhibitors of multidrug resistance which are associated with the Protein-2 efflux transporter showed that, good results were produced after machine learning.

The aim of this present work written by Sahil Kharangarh et al. is to deal with the development of a machine learning model that is also predictive enough to categorize the inhibitors and non-inhibitors of multidrug resistance that is associated with protein-2 transporter using data that is refined. In their review, many prediction algorithms related to machine learning were utilized to develop the models such as, support vector machine, random forest and k-nearest neighbor. Other methods like variance threshold, SelectKBest, random forest, and recursive feature elimination were utilized to select the features generated by PyDPI. A total number of 239 molecules consisting of 124 inhibitors and 115 non-inhibitors were used for the development of this model. The best inhibitor model that modelled multidrug resistance associated protein-2 displayed the prediction occurrence of 0.76, 0.72 and 0.79 for training, 5-fold cross-validation and external sets, respectively.

It was also observed that the support vector machine model which was built on those features selected using recursive feature elimination method, displays the best performance. This model can be used for identifying the inhibitors of multidrug resistance associated protein-2 efflux transporter.

###

To obtain the article please visit http://www.eurekaselect.com/166564

Media Contact
Faizan ul Haq
[email protected]
http://dx.doi.org/10.2174/1386207321666181024104822

Tags: BiochemistryImmunology/Allergies/AsthmaMedicine/HealthNanotechnology/MicromachinesPharmaceutical ChemistryPharmaceutical SciencePharmaceutical SciencesPharmaceutical/Combinatorial ChemistryToxicology
Share12Tweet8Share2ShareShareShare2

Related Posts

Florida Cane Toad: Complex Spread and Selective Evolution

Florida Cane Toad: Complex Spread and Selective Evolution

February 7, 2026
New Study Uncovers Mechanism Behind Burn Pit Particulate Matter–Induced Lung Inflammation

New Study Uncovers Mechanism Behind Burn Pit Particulate Matter–Induced Lung Inflammation

February 6, 2026

DeepBlastoid: Advancing Automated and Efficient Evaluation of Human Blastoids with Deep Learning

February 6, 2026

Navigating the Gut: The Role of Formic Acid in the Microbiome

February 6, 2026
Please login to join discussion

POPULAR NEWS

  • Robotic Ureteral Reconstruction: A Novel Approach

    Robotic Ureteral Reconstruction: A Novel Approach

    82 shares
    Share 33 Tweet 21
  • Digital Privacy: Health Data Control in Incarceration

    63 shares
    Share 25 Tweet 16
  • Study Reveals Lipid Accumulation in ME/CFS Cells

    57 shares
    Share 23 Tweet 14
  • Breakthrough in RNA Research Accelerates Medical Innovations Timeline

    53 shares
    Share 21 Tweet 13

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Evaluating Pediatric Emergency Care Quality in Ethiopia

TPMT Expression Predictions Linked to Azathioprine Side Effects

Improving Dementia Care with Enhanced Activity Kits

Subscribe to Blog via Email

Success! An email was just sent to confirm your subscription. Please find the email now and click 'Confirm' to start subscribing.

Join 73 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.