• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Sunday, May 10, 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

Ancient Plant Populations Reveal Fresh Insights into Climate Resilience — Biology

Ancient Plant Populations Reveal Fresh Insights into Climate Resilience

May 8, 2026
Rare Brain Disorders in Children Linked to Mutations in Lesser-Known Protein Complex — Biology

Rare Brain Disorders in Children Linked to Mutations in Lesser-Known Protein Complex

May 8, 2026

From Odd Insect to Underwater Predator: The Remarkable Evolution of a Bloodthirsty Fruit Fly

May 8, 2026

SNU Professor Sangwoo Seo’s Team Develops Next-Generation CRISPR Biocontainment Technology to Control Microbial Survival Without DNA Cleavage

May 8, 2026
Please login to join discussion

POPULAR NEWS

  • Research Indicates Potential Connection Between Prenatal Medication Exposure and Elevated Autism Risk

    840 shares
    Share 336 Tweet 210
  • New Study Reveals Plants Can Detect the Sound of Rain

    727 shares
    Share 290 Tweet 181
  • Scientists Investigate Possible Connection Between COVID-19 and Increased Lung Cancer Risk

    68 shares
    Share 27 Tweet 17
  • Salmonella Haem Blocks Macrophages, Boosts Infection

    61 shares
    Share 24 Tweet 15

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 Digoxin Use in Patients with Symptomatic Rheumatic Heart Disease

Evaluating the Effectiveness and Safety of Digitalis Glycosides in Treating Heart Failure

Urdu Fall Risk Questionnaire Adapted for Elderly

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 82 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.