Infectious disease mRNA vaccines and a review on epitope prediction for vaccine design
Messenger RNA (mRNA) vaccines have recently emerged as a new type of vaccine
technology, showing strong potential to combat the COVID-19 pandemic. In addition to …
technology, showing strong potential to combat the COVID-19 pandemic. In addition to …
Multi‐perspectives and challenges in identifying B‐cell epitopes
The identification of B‐cell epitopes (BCEs) in antigens is a crucial step in developing
recombinant vaccines or immunotherapies for various diseases. Over the past four decades …
recombinant vaccines or immunotherapies for various diseases. Over the past four decades …
Selecting the suitable resampling strategy for imbalanced data classification regarding dataset properties. An approach based on association models
MS Kraiem, F Sánchez-Hernández… - Applied sciences, 2021 - mdpi.com
In many application domains such as medicine, information retrieval, cybersecurity, social
media, etc., datasets used for inducing classification models often have an unequal …
media, etc., datasets used for inducing classification models often have an unequal …
Prediction of bone metastasis in non-small cell lung cancer based on machine learning
Objective The purpose of this paper was to develop a machine learning algorithm with good
performance in predicting bone metastasis (BM) in non-small cell lung cancer (NSCLC) and …
performance in predicting bone metastasis (BM) in non-small cell lung cancer (NSCLC) and …
A Quantum Vaccinomics Approach for the Design and Production of MSP4 Chimeric Antigen for the Control of Anaplasma phagocytophilum Infections
Anaplasma phagocytophilum Major surface protein 4 (MSP4) plays a role during infection
and multiplication in host neutrophils and tick vector cells. Recently, vaccination trials with …
and multiplication in host neutrophils and tick vector cells. Recently, vaccination trials with …
DL-TCNN: Deep Learning-based Temporal Convolutional Neural Network for prediction of conformational B-cell epitopes
Prediction of conformational B-cell epitopes (CBCE) is an essential phase for vaccine
design, drug invention, and accurate disease diagnosis. Many laboratorial and …
design, drug invention, and accurate disease diagnosis. Many laboratorial and …
Advances in antibody discovery from human BCR repertoires
Z Xu, HS Ismanto, H Zhou, DS Saputri… - Frontiers in …, 2022 - frontiersin.org
Antibodies make up an important and growing class of compounds used for the diagnosis or
treatment of disease. While traditional antibody discovery utilized immunization of animals to …
treatment of disease. While traditional antibody discovery utilized immunization of animals to …
Construction and validation of a machine learning model for the diagnosis of juvenile idiopathic arthritis based on fecal microbiota
JB Tu, WJ Liao, SP Long, MP Li… - Frontiers in Cellular and …, 2024 - frontiersin.org
Purpose Human gut microbiota has been shown to be significantly associated with various
inflammatory diseases. Therefore, this study aimed to develop an excellent auxiliary tool for …
inflammatory diseases. Therefore, this study aimed to develop an excellent auxiliary tool for …
Prediction of hepatic metastasis in esophageal cancer based on machine learning
J Wan, Y Zeng - Scientific Reports, 2024 - nature.com
This study aimed to establish a machine learning (ML) model for predicting hepatic
metastasis in esophageal cancer. We retrospectively analyzed patients with esophageal …
metastasis in esophageal cancer. We retrospectively analyzed patients with esophageal …
The empirical comparison of machine learning algorithm for the class imbalanced problem in conformational epitope prediction
A conformational epitope is a part of a protein-based vaccine. It is challenging to identify
using an experiment. A computational model is developed to support identification …
using an experiment. A computational model is developed to support identification …