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[HTML][HTML] Prediction modelling of COVID using machine learning methods from B-cell dataset
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
enterprises, so that enterprises can take corresponding strategies in time. The financial crisis …