Fundamentals and methods for T‐and B‐cell epitope prediction
JL Sanchez-Trincado… - Journal of …, 2017 - Wiley Online Library
Adaptive immunity is mediated by T‐and B‐cells, which are immune cells capable of
developing pathogen‐specific memory that confers immunological protection. Memory and …
developing pathogen‐specific memory that confers immunological protection. Memory and …
Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
C Selvaraj, I Chandra, SK Singh - Molecular diversity, 2021 - Springer
The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Developing new drug molecules to overcome …
development as intractable and hot research. Developing new drug molecules to overcome …
T-cell epitope vaccine design by immunoinformatics
A Patronov, I Doytchinova - Open biology, 2013 - royalsocietypublishing.org
Vaccination is generally considered to be the most effective method of preventing infectious
diseases. All vaccinations work by presenting a foreign antigen to the immune system in …
diseases. All vaccinations work by presenting a foreign antigen to the immune system in …
Machine learning techniques for the prediction of B-cell and T-cell epitopes as potential vaccine targets with a specific focus on SARS-CoV-2 pathogen: A review
SNH Bukhari, A Jain, E Haq, A Mehbodniya, J Webber - Pathogens, 2022 - mdpi.com
The only part of an antigen (a protein molecule found on the surface of a pathogen) that is
composed of epitopes specific to T and B cells is recognized by the human immune system …
composed of epitopes specific to T and B cells is recognized by the human immune system …
Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction
Y Han, D Kim - BMC bioinformatics, 2017 - Springer
Background Computational scanning of peptide candidates that bind to a specific major
histocompatibility complex (MHC) can speed up the peptide-based vaccine development …
histocompatibility complex (MHC) can speed up the peptide-based vaccine development …
Harnessing bioinformatics to discover new vaccines
MN Davies, DR Flower - Drug discovery today, 2007 - Elsevier
Vaccine design is highly suited to the application of in silico techniques, for both the
discovery and development of new and existing vaccines. Here, we discuss computational …
discovery and development of new and existing vaccines. Here, we discuss computational …
Immunoinformatics: predicting peptide–MHC binding
Immunoinformatics is a discipline that applies methods of computer science to study and
model the immune system. A fundamental question addressed by immunoinformatics is how …
model the immune system. A fundamental question addressed by immunoinformatics is how …
Cascleave: towards more accurate prediction of caspase substrate cleavage sites
Motivation: The caspase family of cysteine proteases play essential roles in key biological
processes such as programmed cell death, differentiation, proliferation, necrosis and …
processes such as programmed cell death, differentiation, proliferation, necrosis and …
[HTML][HTML] Deimmunization of protein therapeutics–Recent advances in experimental and computational epitope prediction and deletion
Biotherapeutics, and antimicrobial proteins in particular, are of increasing interest for human
medicine. An important challenge in the development of such therapeutics is their potential …
medicine. An important challenge in the development of such therapeutics is their potential …
Prediction of MHC-peptide binding: a systematic and comprehensive overview
EM Lafuente, PA Reche - Current pharmaceutical design, 2009 - ingentaconnect.com
T cell immune responses are driven by the recognition of peptide antigens (T cell epitopes)
that are bound to major histocompatibility complex (MHC) molecules. T cell epitope …
that are bound to major histocompatibility complex (MHC) molecules. T cell epitope …