Epitope-based vaccine design: a comprehensive overview of bioinformatics approaches
Highlights•Epitope vaccines provide maximal therapeutic efficacy with minimal side
effects.•Reverse vaccinology can be used for designing epitope vaccines.•Computational …
effects.•Reverse vaccinology can be used for designing epitope vaccines.•Computational …
[HTML][HTML] An overview of bioinformatics tools for epitope prediction: implications on vaccine development
RE Soria-Guerra, R Nieto-Gomez… - Journal of biomedical …, 2015 - Elsevier
Exploitation of recombinant DNA and sequencing technologies has led to a new concept in
vaccination in which isolated epitopes, capable of stimulating a specific immune response …
vaccination in which isolated epitopes, capable of stimulating a specific immune response …
Data-driven predictive maintenance planning framework for MEP components based on BIM and IoT using machine learning algorithms
Facility managers usually conduct reactive maintenance or preventive maintenance
strategies in building maintenance management. However, there are some limitations that …
strategies in building maintenance management. However, there are some limitations that …
Immunoinformatics‐aided identification of T cell and B cell epitopes in the surface glycoprotein of 2019‐nCoV
V Baruah, S Bose - Journal of medical virology, 2020 - Wiley Online Library
Abstract The 2019 novel coronavirus (2019‐nCoV) outbreak has caused a large number of
deaths with thousands of confirmed cases worldwide, especially in East Asia. This study …
deaths with thousands of confirmed cases worldwide, especially in East Asia. This study …
Decision tree based ensemble machine learning model for the prediction of Zika virus T-cell epitopes as potential vaccine candidates
SNH Bukhari, J Webber, A Mehbodniya - Scientific Reports, 2022 - nature.com
Zika fever is an infectious disease caused by the Zika virus (ZIKV). The disease is claiming
millions of lives worldwide, primarily in developing countries. In addition to vector control …
millions of lives worldwide, primarily in developing countries. In addition to vector control …
Designing of interferon-gamma inducing MHC class-II binders
Background The generation of interferon-gamma (IFN-γ) by MHC class II activated CD4+ T
helper cells play a substantial contribution in the control of infections such as caused by …
helper cells play a substantial contribution in the control of infections such as caused by …
Preventing undesirable behavior of intelligent machines
Intelligent machines using machine learning algorithms are ubiquitous, ranging from simple
data analysis and pattern recognition tools to complex systems that achieve superhuman …
data analysis and pattern recognition tools to complex systems that achieve superhuman …
Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential
In the past, numerous methods have been developed to predict MHC class II binders or T-
helper epitopes for designing the epitope-based vaccines against pathogens. In contrast …
helper epitopes for designing the epitope-based vaccines against pathogens. In contrast …
Machine learning and data science in soft materials engineering
AL Ferguson - Journal of Physics: Condensed Matter, 2017 - iopscience.iop.org
In many branches of materials science it is now routine to generate data sets of such large
size and dimensionality that conventional methods of analysis fail. Paradigms and tools from …
size and dimensionality that conventional methods of analysis fail. Paradigms and tools from …
Comparative analyses of SAR-CoV2 genomes from different geographical locations and other coronavirus family genomes reveals unique features potentially …
The ongoing pandemic of the coronavirus disease 2019 (COVID-19) is an infectious disease
caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). We have …
caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). We have …