Infectious Disease

Hepatitis

Latest AI and machine learning research in hepatitis for healthcare professionals.

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An Improved Dataset for Predicting Mammal Infecting Viruses from Genetic Sequence Information

There have been several attempts to develop machine learning (ML) models to identify human infecting viruses from their genomic sequences, with varying degrees of success. Direct comparison between models is problematic, because these models are typically trained and evaluated on different datasets having different baseline, outcome, and features. In this paper we present a standardized dataset of...

T-SCAPE: T-cell Immunogenicity Scoring via Cross-domain Aided Predictive Engine

T-cell immunogenicity, the ability of peptide fragments to elicit T-cell responses, is a critical determinant of the safety and efficacy of protein therapeutics and vaccines. While deep learning shows promise for in silico prediction, the scarcity of comprehensive immunogenicity data is a major challenge. We present T-SCAPE, a novel multi-domain deep learning framework that leverages adversarial d...

Partial Inhibition of Viral Replication Machinery Enhances Recombination in Herpes Simplex Viruses

Herpes simplex viruses (HSV-1 and HSV-2) are widespread human pathogens, most commonly causing oral and genital lesions. These DNA viruses use recombi...

Asymmetric cortical projections to striatal direct and indirect pathways distinctly control actions

The striatal direct and indirect pathways constitute the core for basal ganglia function in action control. Although both striatal D1- and D2-spiny pr...

Automating Candidate Gene Prioritization with Large Language Models: From Naive Scoring to Literature-Grounded Validation

Identifying promising therapeutic targets from thousands of genes in transcriptomic studies remains a major bottleneck in biomedical research. While l...

Hollow-fibre biomanufacturing and cell-free engineering of HEK293 extracellular vesicles

Extracellular vesicles (EVs) are lipid-delineated nanoparticles that are produced by most cell types. EVs contain complex molecular cargoes that can h...

OmniPath: integrated knowledgebase for multi-omics analysis

Analysis and interpretation of omics data largely benefit from the use of prior knowledge. However, this knowledge is fragmented across resources and ...

Discovery of RdRp Thumb-1 as a novel broad-spectrum antiviral family of targets and MDL-001 as a potent broad-spectrum inhibitor thereof

Multiple positive-sense, single-stranded RNA (+ssRNA) viruses cause human diseases, ranging from mild colds to deadly pandemics. These viruses share a...

VirTrack: A Framework for Inferring Viral Influence on Disease-Associated Transcriptomes — Clinical Type-Specific Epstein–Barr Virus Pathogenesis in Multiple Sclerosis

Epstein–Barr virus (EBV) is strongly implicated in Multiple Sclerosis (MS), but how its influence varies across MS clinical types remains unclear. We ...

Structurally Informed Fitness Landscapes for Surveillance of Emerging PRRSV Variants

Antibodies play a central role in neutralizing pathogens through direct interference with viral entry and recruitment of effector immune cells. Howeve...

Integrating Mutation and Stop Signals for Improved RNA Structure Analysis and Insight Discovery

Understanding RNA structures is essential for exploring its diverse cellular roles. Chemical modification-based RNA structure probing remains a key ap...

Scaling Large Language Models for Next-Generation Single-Cell Analysis

Single-cell RNA sequencing has transformed our understanding of cellular diversity, yet current singlecell foundation models (scFMs) remain limited in...

Computational Design of Miniprotein Binders Targeting the Viral Entry in Chikungunya and Dengue, Neglected Tropical Diseases

Neglected Tropical Diseases (NTDs) continue to be a global health concern, affecting millions worldwide. Arboviruses such as Chikungunya virus (CHIKV)...

The mechanical code of DNA impacts its interaction with DNA gyrase

DNA:protein interactions involving large structural deformations of DNA underpin essential biological processes. Although correlative evidence suggest...

An Immuno-Linguistic Transformer for Multi-Scale Modeling of T-Cell Spatiotemporal Dynamics

Understanding the spatiotemporal dynamics of T-cell clones is a critical challenge in immunology and immunotherapy, with direct implications for cance...

Deciphering the Antigenic Evolution of Seasonal Influenza A Viruses with PREDAC-Transformer: From Antigenic Clustering to Key Site Identification

Seasonal influenza viruses undergo continuous antigenic drift due to mutations in the hemagglutinin (HA) protein, rendering vaccines ineffective and p...

A study on edge devices for image classification of the Tasmanian devil (Sarcophilus harrisii) for vaccine delivery

A target-specific bait dispenser is required for oral bait vaccination of the endangered Tasmanian devil (Sarcophilus harrisii) against the deadly dev...

Systems biology framework for rational design of operational conditions for in vitro / in vivo translation of microphysiological systems

Preclinical models are used extensively to study diseases and potential therapeutic treatments. Complex in vitro platforms incorporating human cellula...

ppLM-CO:Pre-trained Protein Language Model for Codon Optimization

Messenger ribonucleic acid (mRNA) vaccines represent a major advancement in synthetic biology, yet their efficacy remains limited by how efficiently t...

SignalGen: A Protein Language Model Based AI Agent For Optimal Signal Peptide Prediction

Signal peptides are short amino acid sequences attached to the N-termini of mature proteins. They play determinant roles in protein expression as well...

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