Enhancing tuberculosis vaccine development: a deconvolution neural network approach for multi-epitope prediction

Abstract excerpt

Tuberculosis (TB) a disease caused by Mycobacterium tuberculosis (Mtb) poses a significant threat to human life, and current BCG vaccinations only provide sporadic protection, therefore there is a need for developing efficient vaccines. Numerous immunoinformatic methods have been utilized previously, here for the first time a deep learning framework based on Deconvolutional Neural Networks (DCNN) and...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to RNA and protein synthesis mechanisms
• Share to Tuberculosis Research and Epidemiology
• Share to vaccines and immunoinformatics approaches