Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning [PDF]
The accurate prediction of B-cell epitopes is critical for guiding vaccine development against infectious diseases, including SARS and COVID-19. This study explores the use of a deep neural network (DNN) model to predict B-cell epitopes for SARS-CoVandSARS-CoV-2,leveraging a dataset that incorporates essential protein and peptide features.
arxiv
Cotransfer of the Eαd and Aβd genes into L cells results in the surface expression of a functional mixed-isotype Ia molecule [PDF]
Ia molecules play a key role in antigen recognition by T lymphocytes. To analyze the structural features of the individual α and β chains relevant to the assembly of intact Ia molecules, mouse fibroblasts were contransfected with various combinations of ...
Hood, Leroy+3 more
core
Dendrimer Conjugates with PD‐L1‐Binding Peptides Enhance In Vivo Antitumor Immune Response
In this paper, a novel nanoparticle scaffold composed of dendrimers conjugated with peptide‐based immune checkpoint inhibitors, enhancing drug delivery efficacy is introduced. By conjugating PD‐L1‐binding peptides to dendrimers, multivalent binding effects are harnessed, resulting in enhanced binding affinity, prolonged half‐life, and improved ...
DaWon Kim+11 more
wiley +1 more source
Comparative Analysis of Quantum Support Vector Machines and Variational Quantum Classifiers for B-cell Epitope Prediction in Vaccine Design [PDF]
Quantum computing offers new opportunities for addressing complex classification tasks in biomedical applications. This study investigates two quantum machine learning models-the Quantum Support Vector Machine (QSVM) and the Variational Quantum Classifier (VQC)-in the context of B-cell epitope prediction, a key step in modern vaccine design.
arxiv
Geometric Adjustment of T Cell‐Sensitive Nanorobots for Enhanced Stability
For the long‐term use of live dendritic cell (DC)‐based vaccines, nano bone marrow dendritic cell (BMDC) originated T cell activators (nano‐BOTs) are synthesized. The geometric properties of nanoparticles are precisely modulated, enhancing their stability and T cell activation capacity.
Yoojin Lee+11 more
wiley +1 more source
Immunosuppressive Formulations for Immunological Defense against Traumatic Brain Injury
A novel subcutaneous formulation combining alpha‐ketoglutarate, glycolysis inhibitor PFK15, and a myelin peptide reduces inflammation in a mouse TBI model. This formulation promotes regulatory immune cells, enhances autophagy, and improves motor function, suggesting its potential as a prophylactic immunosuppressive therapy to mitigate TBI‐induced ...
Kelly Lintecum+28 more
wiley +1 more source
Engineering CAR‐T Therapeutics for Enhanced Solid Tumor Targeting
CART cell therapy has proven effective for blood cancers but struggles with solid tumors due to diverse antigens and complex environments. Recent efforts focus on improving CAR design and validation platforms. Advances in protein engineering, machine learning, and organoid systems aim to enhance CAR‐T therapy against solid tumors.
Danqing Zhu+4 more
wiley +1 more source
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi+4 more
wiley +1 more source