Bioinformatics ReviewBioinformatics Review
Notification Show More
Font ResizerAa
  •  Home
  • Docking
  • MD Simulation
  • Tools
  • More Topics
    • Softwares
    • Sequence Analysis
    • Algorithms
    • Bioinformatics Programming
    • Bioinformatics Research Updates
    • Drug Discovery
    • Phylogenetics
    • Structural Bioinformatics
    • Editorials
    • Tips & Tricks
    • Bioinformatics News
    • Featured
    • Genomics
    • Bioinformatics Infographics
  • Community
    • BiR-Research Group
    • Community Q&A
    • Ask a question
    • Join Telegram Channel
    • Join Facebook Group
    • Join Reddit Group
    • Subscription Options
    • Become a Patron
    • Write for us
  • About Us
    • About BiR
    • BiR Scope
    • The Team
    • Guidelines for Research Collaboration
    • Feedback
    • Contact Us
    • Recent @ BiR
  • Subscription
  • Account
    • Visit Dashboard
    • Login
Font ResizerAa
Bioinformatics ReviewBioinformatics Review
Search
Have an existing account? Sign In
Follow US
Sequence AnalysisSoftwareTools

NGlyAlign- A New Tool to Align Highly Variable Regions in HIV Sequences

Tariq Abdullah
Last updated: February 18, 2021 4:43 pm
Tariq Abdullah
Share
2 Min Read
NGlyAlign: A tool to align Highly Variable Regions in HIV envelope
SHARE

It is necessary to detect highly variable regions in envelopes of viruses as it allows the establishment of the viruses in the human body. A new tool is developed to build and align the highly variable regions in HIV sequences.

Contents
  • How NGlyAlign works?
  • References

NGlyAlign is an automated library building tool that allows easy alignment of highly variable HIV envelope regions [1]. It is an open-source tool and is freely available at https://github.com/UNSW-Mathematical-Biology/NGlyAlign_v1.0.

How NGlyAlign works?

This tool first finds similar N-glycosylation sites and statistically conserved global sites. Then it aligns them as block constraints and single-site constraints respectively. This allows generating consistency-based MSA of partial columns between the two such as Dialign. NGlyAlign results in accurate MSAs of variable regions in HIV envelopes [1].

NGlyAlign has been tested by the authors on two different datasets. The obtained results were found to be better than the other MSA tools including T-Coffee, ClustalW, Praline, Muscle, Clustal Omega, and HIValign [1]. According to the authors [1], this method is easily applicable to large sequences and other highly variable glycoproteins including the Hepatitis C virus.


References

  1. Akand, .H., Murray, J.M. (2021). NGlyAlign: an automated library building tool to align highly divergent HIV envelope sequences. BMC Bioinformatics 22, 54.
TAGGED:glycosylation sites alignmenthighly variable regionsHIV
Share This Article
Facebook Copy Link Print
ByTariq Abdullah
Tariq is founder of Bioinformatics Review and Lead Developer at IQL Technologies. His areas of expertise include algorithm design, phylogenetics, MicroArray, Plant Systematics, and genome data analysis. If you have questions, reach out to him via his homepage.
Leave a Comment

Leave a Reply Cancel reply

You must be logged in to post a comment.

ai tools vs traditional tools in bioinformatics
AI Tools vs Traditional Tools in Bioinformatics- Which one to select?
Algorithms Artificial Intelligence Machine Learning Software Tools
AI vs Physics in Molecular Docking
AI vs Physics in Molecular Docking: Towards Faster and More Accurate Pose Prediction
Artificial Intelligence Drug Discovery Machine Learning
10 years of Bioinformatics Review: From a Blog to a Bioinformatics Knowledge Hub!
Editorial
Starting in Bioinformatics? Do This First!
Starting in Bioinformatics? Do This First!
Tips & Tricks

You Might Also Like

predict protein targets
DockingSoftwareTools

Predict putative protein targets for small molecules using a new tool

August 5, 2020
[Tutorial] How to perform docking of zinc metalloproteins using Autodock Vina?
DockingSoftwareTools

[Tutorial] How to perform docking of zinc metalloproteins using Autodock Vina?

November 10, 2021
python scripts
DockingDrug DiscoverySoftwareTools

Prepare receptor and ligand files for docking using Python scripts

June 2, 2021
Installing Conda on Ubuntu (Linux)
Software

Installing Conda on Ubuntu (Linux)

March 12, 2022
Copyright 2024 IQL Technologies
  • Journal
  • Customer Support
  • Contact Us
  • FAQs
  • Terms of Use
  • Privacy Policy
  • Cookie Policy
  • Sitemap
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?

Not a member? Sign Up