[HTML][HTML] Prediction modelling of COVID using machine learning methods from B-cell dataset

N Jain, S Jhunthra, H Garg, V Gupta, S Mohan… - Results in physics, 2021 - Elsevier
Coronavirus is a pandemic that has become a concern for the whole world. This disease has
stepped out to its greatest extent and is expanding day by day. Coronavirus, termed as a …

Sagacious epitope selection for vaccines, and both antibody-based therapeutics and diagnostics: tips from virology and oncology

SKE Gan, SX Phua, JY Yeo - Antibody Therapeutics, 2022 - academic.oup.com
The target of an antibody plays a significant role in the success of antibody-based
therapeutics and diagnostics, and vaccine development. This importance is focused on the …

A new approach for determining SARS-CoV-2 epitopes using machine learning-based in silico methods

P Cihan, ZB Ozger - Computational biology and chemistry, 2022 - Elsevier
The emergence of machine learning-based in silico tools has enabled rapid and high-
quality predictions in the biomedical field. In the COVID-19 pandemic, machine learning …

The use of deep learning technology in dance movement generation

X Liu, YC Ko - Frontiers in Neurorobotics, 2022 - frontiersin.org
The dance generated by the traditional music action matching and statistical map**
models is less consistent with the music itself. Moreover, new dance movements cannot be …

MITNet: a fusion transformer and convolutional neural network architecture approach for T-cell epitope prediction

JT Darmawan, JS Leu, C Avian… - Briefings in …, 2023 - academic.oup.com
Classifying epitopes is essential since they can be applied in various fields, including
therapeutics, diagnostics and peptide-based vaccines. To determine the epitope or peptide …

[HTML][HTML] Generative AI and large language models: A new frontier in reverse vaccinology

K Hayawi, S Shahriar, H Alashwal… - Informatics in Medicine …, 2024 - Elsevier
Reverse vaccinology is an emerging concept in the field of vaccine development as it
facilitates the identification of potential vaccine candidates. Biomedical research has been …

A novel ensemble fuzzy classification model in SARS-CoV-2 B-cell epitope identification for development of protein-based vaccine

ZB Ozger, P Cihan - Applied soft computing, 2022 - Elsevier
B-cell epitope prediction research has received growing interest since the development of
the first method. B-cell epitope identification with the aid of an accurate prediction method is …

[HTML][HTML] Understanding and Therapeutic Application of Immune Response in Major Histocompatibility Complex (MHC) Diversity Using Multimodal Artificial Intelligence

Y Matsuzaka, R Yashiro - BioMedInformatics, 2024 - mdpi.com
Human Leukocyte Antigen (HLA) is like a device that monitors the internal environment of
the body. T lymphocytes immediately recognize the HLA molecules that are expressed on …

Accelerating SARS-CoV-2 vaccine development: leveraging novel hybrid deep learning models and bioinformatics analysis for epitope selection and classification

ZS Ameen, H Mostafa, DU Ozsahin, AS Mubarak - Processes, 2023 - mdpi.com
It is essential to use highly antigenic epitope areas, since the development of peptide
vaccines heavily relies on the precise design of epitope regions that can elicit a strong …

Financial Crisis Prediction Based on Long‐Term and Short‐Term Memory Neural Network

T Ling, Y Cai - Wireless Communications and Mobile …, 2022 - Wiley Online Library
Enterprise financial crisis prediction analysis can predict the business process of
enterprises, so that enterprises can take corresponding strategies in time. The financial crisis …