Editorial: Strategies for crops to confront extreme weather and pests/diseases
No abstract available.
Read PDFBrowse Papers
Search the literature by keyword, topic, or author. Filter to articles with full text available.
3689 results
Identification of novel compound heterozygote variants in the PCCB gene in a fetus with undetectable fetal phenotype
Propionic acidemia (PA) is a rare autosomal recessive metabolic disorder caused by functional deficiency of propionyl-CoA carboxylase, clinically characterized by life-threatening ketoacidosis, hyperammonemia, and multiorgan dysfunction. Due to its nonspecific clinical manifestations, PA is frequently …
Read PDFCurrent status and future directions of <i>Chlamydia pecorum</i> research: a scoping review (2010-2025)
<i>Chlamydia pecorum</i> is globally recognised as an important pathogen of both agricultural and conservation concerns, contributing to significant production losses in livestock and debilitating disease in koalas (<i>Phascolarctos cinereus</i>). This scoping review evaluates the current …
Read PDFFrom clinical phenotypes to genomic signatures: machine learning integration for precision tuberculosis treatment prediction
<h4>Background</h4>Tuberculosis (TB) remains a major global health threat, causing approximately 1.5 million deaths each year. Despite progress in treatment, 15%-20% of patients still experience treatment failure or relapse, highlighting the urgent need for precise predictive …
Read PDFMolecular Characterization and Comparative Genomics of Two <i>Staphylococcus pseudintermedius</i> Strains from Humans in Egypt
<i>Staphylococcus pseudintermedius</i> is an opportunistic bacterium previously associated with dogs but has recently been found in human infections, raising zoonotic concerns. Genomic characterization of human <i>S. pseudintermedius</i> isolates can provide preliminary information on antibiotic resistance, …
Read PDFLarge language model agents for biological intelligence across genomics, proteomics, spatial biology, and biomedicine
Large language models (LLMs) are evolving from passive predictors into agentic systems capable of planning, tool-use, and multimodal reasoning. This shift is especially consequential for biology, where complex, noisy, and multi-scale data require adaptive and …
Read PDFUncorking wine yeast genomics from grape to glass
Unravelling the genomic blueprint of a reference laboratory strain of the yeast Saccharomyces cerevisiae 30 years ago opened a new era in understanding yeast biology. Since then, genomics has transformed our ability to study, adapt, …
Read PDFInherited variants in autosomal dominant disease genes are a significant cause of fetal structural anomalies
<h4>Background</h4>Monogenic disorders are a major cause of fetal structural anomalies. Most genetic diagnoses involve de novo, biallelic or X linked variants; however, inherited variants in autosomal dominant disease genes have been detected across multiple studies. …
Read PDFStructural modularity and evolutionary dynamics of the ABC transporter protein family
No abstract available.
Read PDFSigning protein-protein interaction networks
<h4>Motivation</h4>Protein-protein interactions (PPIs) provide the skeleton for signaling pathways in the cell. Their experimental measurement, however, reveals only the existence of an interaction without any information on its functional roles. A key step in developing …
Read PDFIdentification and Validation of Liver Transplantation-Induced Acute Lung Injury Biomarkers Using a Bioinformatics and Experimental Approach
BACKGROUND Acute lung injury (ALI) after liver transplantation (LT) is a critical complication negatively affecting transplant outcomes and patient survival. However, effective biomarkers for early diagnosis remain unidentified. This study aimed to identify hub biomarkers …
Read PDFIdentification of potential biomarkers for osteoporosis and chronic kidney disease through bioinformatics and machine learning algorithm
<h4>Objective</h4>The purpose of this study is to identify hub genes associated with both osteoporosis (OP) and chronic kidney disease (CKD) through bioinformatics analysis, and to explore the potential pathogenetic mechanisms in OP and CKD through …
Read PDFCadmium exposure induces renal fibrosis by inhibiting hsa_circ_0075684/miR-363-3p/KLF4 signaling pathway
To date, no effective chelation therapy exists to remove cadmium (Cd) from the kidneys, a condition that increases the risk of cadmium-induced chronic kidney disease among humans. consequently, it is vital to prevent kidney damage …
Read PDF<i>Pa</i>REx: an open-source pipeline for the automated analysis of <i>Pseudomonas aeruginosa</i> resistomes from whole-genome sequences
Whole-genome sequencing (WGS) has become a valuable tool for bacterial typing and resistome analysis. However, most existing antibiotic resistance databases and bioinformatics tools are not useful for <i>P. aeruginosa</i> resistome profiling as they fail to …
Read PDFSecreted phosphoprotein 1 is associated with epithelial cell proliferation and PI3K/AKT signalling in sinonasal inverted papilloma
<h4>Objectives</h4>Sinonasal inverted papilloma is a locally aggressive epithelial lesion with a relatively high recurrence rate, yet the molecular basis of its proliferative behaviour remains incompletely understood. This study investigated the clinical relevance of secreted phosphoprotein …
Read PDFPangenomics-Driven Reverse Vaccinology for the Discovery of New Vaccine Candidates Against <i>Bordetella pertussis</i>
Despite widespread vaccination, pertussis resurgence persists due to waning immunity and emerging resistant strains in <i>Bordetella pertussis</i>. This study employs a pangenomics-driven reverse vaccinology approach to identify novel vaccine candidates. Analyzing 160 genomes revealed a …
Read PDFPrivacy-hardened and hallucination-resistant synthetic data generation with logic-solvers
<h4>Motivation</h4>Machine-generated or synthetic data is a valuable resource for training artificial intelligence algorithms, evaluating rare workflows, and sharing data under stricter data legislations. However, current statistical and deep learning methods struggle with large data volumes, …
Read PDFAlternative <i>in vitro and in silico</i> models to reduce animal use: a crucial technological advance in dermatological sciences
<h4>Introduction</h4>Alternative models are tools to replace and reduce the number of animals used in biomedical sciences, for either research or tests of industrial products. Several new alternative models have been developed in the most diverse …
Read PDF