Functional Annotation and Epitope Prediction of Hypothetical Proteins of Mycobacterium tuberculosis H37Rv: An Immunoinformatics Approach | Zendy

AI Assistant Blog Pricing

Open Access

Functional Annotation and Epitope Prediction of Hypothetical Proteins of Mycobacterium tuberculosis H37Rv: An Immunoinformatics Approach

Author(s) -

Chandan Badapanda

Publication year - 2016

Publication title -

journal of bioengineering and biomedical sciences

Language(s) - English

Resource type - Journals

ISSN - 2155-9538

DOI - 10.4172/2155-9538.1000196

Subject(s) - epitope , mycobacterium tuberculosis , tuberculosis , computational biology , annotation , bioinformatics , biology , medicine , immunology , pathology , antibody

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom

About

About Careers Publisher Partners Contact Us Our institutional solutions Get Organisational Trial or Quote

Learn

FAQs Blog Terms of Use Privacy Policy

Download the Zendy App

Download on the

Discover

Explore

Copyright Knowledge E © 2026. All Rights Reserved.