AIMC Journal:
bioRxiv

Showing 341 to 350 of 4935 articles

Large Language Models for Accessible Reporting of Bioinformatics Analyses in Interdisciplinary Contexts

bioRxiv
Health and life scientists frequently rely on quantitative experts to perform complex data analyses, yet interpretation of these results often becomes a bottleneck due to communication barriers across disciplines. Large Language Models (LLMs) have th...

PhageTAILor leverages machine learning for phage tail-like elements detection and classification in plant-associated bacteria

bioRxiv
Phage tail-like elements (PTEs) -- tailocins, bacterial type VI secretion systems (T6SS), and extracellular contractile injection systems (eCIS) -- are contractile nanomachines that bacteria use to kill their neighbors and compete within their micro-...

PathFold: Predicting the Entire Protein Folding Pathway from Protein Sequence Alone

bioRxiv
Recent advances in protein structure prediction, exemplified by AlphaFold, have largely addressed the determination of static structures, one aspect of the protein folding problem. However, predicting folding pathways, by which proteins reach their n...

CyChat: a conversational Cytoscape app for no-code, reproducible network analysis

bioRxiv
Network-based analyses of molecular interactions are useful for interpreting high-throughput omics data and identifying therapeutic targets. Cytoscape is the standard platform for these tasks, but users face a trade-off between accessible graphical w...

Tc17-driven antibody-independent mucosal immunity is critical for protection against extracellular bacterial pneumonia

bioRxiv
Klebsiella pneumoniae (Kp) is a WHO high-priority pathogen for vaccine development, yet previous efforts failed largely because key protective immune mechanisms remain unclear. Here we show that protective immunity conferred by mucosal mRNA vaccines ...

Optimizing genomic selection: A comparison of SNP selection strategies for reduced-density panels in beef cattle

bioRxiv
The exponential increase in the number of genotyped animals, combined with the availability of high-density SNP chips has introduced computational challenges for routine genomic evaluations, particularly during the construction of the genomic relatio...

Accurate and efficient prediction of protein conformations with ProtMonomer

bioRxiv
Deep learning-based protein structure prediction methods that leverage evolutionary information from multiple sequence alignments (MSAs), exemplified by AlphaFold2, have achieved remarkable accuracy. However, existing methods still struggle to predic...

Predicting Conscious Perception from Pupil's Aperture Size Using Machine Learning Techniques

bioRxiv
Introduction: Decision making for selecting an object or a course of action from possible alternatives largely depends on our perceptual ability modulated by attention. When multiple stimuli appear close together in time, processing one stimulus can ...

Automated wildlife re-identification by merging information from multiple body parts: A case study in sea turtles

bioRxiv
Wildlife re-identification (re-ID) is a widely used and powerful tool with diverse applications in animal ecology and conservation. Current automated methods typically operate on single images of a single body part of the animal. However, a single en...

Audited vibe coding suggests partial fetal-like convergence of tumor proteomes

bioRxiv
The balance between how much human tumors recapitulate fetal tissue programs versus lose adult tissue identity remains unresolved. I used audited vibe coding, a human-mediated, cross-model critique-and-refinement workflow, to re-analyze a public pan-...