Peptide-based vaccines for tuberculosis
W Gong, C Pan, P Cheng, J Wang, G Zhao… - Frontiers in …, 2022 - frontiersin.org
Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. As a
result of the coronavirus disease 2019 (COVID-19) pandemic, the global TB mortality rate in …
result of the coronavirus disease 2019 (COVID-19) pandemic, the global TB mortality rate in …
A guide to current methodology and usage of reverse vaccinology towards in silico vaccine discovery
SJ Goodswen, PJ Kennedy… - FEMS Microbiology …, 2023 - academic.oup.com
Reverse vaccinology (RV) was described at its inception in 2000 as an in silico process that
starts from the genomic sequence of the pathogen and ends with a list of potential protein …
starts from the genomic sequence of the pathogen and ends with a list of potential protein …
An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study
The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over
the world has led to over millions of deaths, and devastated the social, financial and political …
the world has led to over millions of deaths, and devastated the social, financial and political …
In-silico design of a multi-epitope vaccine candidate against onchocerciasis and related filarial diseases
Onchocerciasis is a parasitic disease with high socio-economic burden particularly in sub-
Saharan Africa. The elimination plan for this disease has faced numerous challenges. A …
Saharan Africa. The elimination plan for this disease has faced numerous challenges. A …
In silico analysis of epitope-based vaccine candidate against tuberculosis using reverse vaccinology
Tuberculosis (TB) kills more individuals in the world than any other disease, and a threat
made direr by the coverage of drug-resistant strains of Mycobacterium tuberculosis (Mtb) …
made direr by the coverage of drug-resistant strains of Mycobacterium tuberculosis (Mtb) …
Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatics approach
Ongoing COVID-19 outbreak has raised a drastic challenge to global public health security.
Most of the patients with COVID-19 suffer from mild flu-like illnesses such as cold and fever; …
Most of the patients with COVID-19 suffer from mild flu-like illnesses such as cold and fever; …
Identification of vaccine targets in pathogens and design of a vaccine using computational approaches
Antigen identification is an important step in the vaccine development process.
Computational approaches including deep learning systems can play an important role in …
Computational approaches including deep learning systems can play an important role in …
Exploring the out of sight antigens of SARS-CoV-2 to design a candidate multi-epitope vaccine by utilizing immunoinformatics approaches
SARS-CoV-2 causes a severe respiratory disease called COVID-19. Currently, global health
is facing its devastating outbreak. However, there is no vaccine available against this virus …
is facing its devastating outbreak. However, there is no vaccine available against this virus …
Subtractive proteomics to identify novel drug targets and reverse vaccinology for the development of chimeric vaccine against Acinetobacter baumannii
The emergence of drug-resistant Acinetobacter baumannii is the global health problem
associated with high mortality and morbidity. Therefore it is high time to find a suitable …
associated with high mortality and morbidity. Therefore it is high time to find a suitable …
[图书][B] Deep learning in science
P Baldi - 2021 - books.google.com
This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with
the foundations of the theory and building it up, this is essential reading for any scientists …
the foundations of the theory and building it up, this is essential reading for any scientists …