The combination of artificial intelligence and systems biology for intelligent vaccine design
Introduction A new body of evidence depicts the applications of artificial intelligence and
systems biology in vaccine design and development. The combination of both approaches …
systems biology in vaccine design and development. The combination of both approaches …
An overview of the development of new vaccines for tuberculosis
E Whitlow, AS Mustafa, SNM Hanif - Vaccines, 2020 - mdpi.com
Currently, there is only one licensed vaccine against tuberculosis (TB), the Bacillus Calmette–
Guérin (BCG). Despite its protective efficacy against TB in children, BCG has failed to protect …
Guérin (BCG). Despite its protective efficacy against TB in children, BCG has failed to protect …
Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility
FT Musuamba, I Skottheim Rusten… - CPT …, 2021 - Wiley Online Library
The value of in silico methods in drug development and evaluation has been demonstrated
repeatedly and convincingly. While their benefits are now unanimously recognized …
repeatedly and convincingly. While their benefits are now unanimously recognized …
In silico design of recombinant multi-epitope vaccine against influenza A virus
Background Influenza A virus is one of the leading causes of annual mortality. The emerging
of novel escape variants of the influenza A virus is still a considerable challenge in the …
of novel escape variants of the influenza A virus is still a considerable challenge in the …
In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform
Background SARS-CoV-2 is a severe respiratory infection that infects humans. Its outburst
entitled it as a pandemic emergence. To get a grip on this outbreak, specific preventive and …
entitled it as a pandemic emergence. To get a grip on this outbreak, specific preventive and …
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim
Background The last few decades have seen the approval of many new treatment options
for Relapsing-Remitting Multiple Sclerosis (RRMS), as well as advances in diagnostic …
for Relapsing-Remitting Multiple Sclerosis (RRMS), as well as advances in diagnostic …
In silico studies to support vaccine development
The progress that has been made in computer science positioned in silico studies as an
important and well-recognized methodology in the drug discovery and development …
important and well-recognized methodology in the drug discovery and development …
[HTML][HTML] Moving forward through the in silico modeling of multiple sclerosis: Treatment layer implementation and validation
A Maleki, E Crispino, SA Italia, V Di Salvatore… - Computational and …, 2023 - Elsevier
Multiple sclerosis is an autoimmune inflammatory disease that affects the central nervous
system through chronic demyelination and loss of oligodendrocytes. Since the relapsing …
system through chronic demyelination and loss of oligodendrocytes. Since the relapsing …
[HTML][HTML] Translatability and transferability of in silico models: Context of use switching to predict the effects of environmental chemicals on the immune system
Immunotoxicity hazard identification of chemicals aims to evaluate the potential for
unintended effects of chemical exposure on the immune system. Perfluorinated alkylate …
unintended effects of chemical exposure on the immune system. Perfluorinated alkylate …
Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB
Background In 2018, about 10 million people were found infected by tuberculosis, with
approximately 1.2 million deaths worldwide. Despite these numbers have been relatively …
approximately 1.2 million deaths worldwide. Despite these numbers have been relatively …