AIMC Journal:
bioRxiv

Showing 1731 to 1740 of 4956 articles

Graph-based learning and read-out of nanopore translocation event signals

bioRxiv
Nanopores enable single-molecule analysis by measuring current signals through nanoscale pores in either biological or solid-state membranes. Accurate detection of analyte fingerprints within the pore environment is essential for reading-out the anal...

Predicting Supramolecular Self-Assembly of Peptide Structures with AlphaFold3

bioRxiv
Self-assembled peptide-based nanostructures have diverse applications in the pharmaceutical and materials fields, but accurately predicting their self-assembly behavior without time-intensive organic synthesis and characterization remains a significa...

Deterministic retrieval recovers biomedical associations lost by language models

bioRxiv
Large language model (LLM)-based retrieval systems miss biomedical associations through output truncation, synonym mismatch and run-to-run variability, but the magnitude of this loss remains unclear. We present BioChirp, an open-source framework that...

SpikeLab: Agentic tools for spike data analysis

bioRxiv
Large language models have the potential to transform scientific research and analysis, but without domain-specific structure they produce silent methodological errors, unreported decisions, and irreproducible results. Here we present SpikeLab, a tex...

GenPept-Curated-2025: A Benchmark Dataset for Antimicrobial Peptide Prediction with Homology-Controlled Partitioning

bioRxiv
Antimicrobial peptides (AMPs) are promising therapeutic candidates against rising antimicrobial resistance, yet progress in AMP prediction is hampered by the lack of benchmark datasets that address homology leakage, negative set reliability, and dist...

Scalable machine learning improves resistance prediction and identifies novel determinants in Mycobacterium tuberculosis

bioRxiv
Multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis (MTB) represents a growing global health crisis, characterized by limited treatment options and high mortality rates. Rapid and accurate prediction of resistance profiles i...

Advancing ab initio genome annotation with OrionGeno

bioRxiv
The rapid expansion of eukaryotic genome sequencing has created an urgent demand for scalable and accurate gene annotation, particularly for large-scale genomic initiatives such as the Earth BioGenome Project (EBP). Existing ab initio methods often s...

GRNPred: A Multimodal Graph Transformer with Masked Gene Expression Pretraining for Gene Regulatory Network Inference

bioRxiv
Gene regulatory network (GRN) inference is a key problem in systems biology that aims to identify transcription factor (TF)-target gene interactions from high-dimensional gene expression data, but it remains challenging due to limited labeled data, c...

Yawning reveals energy-dynamics mismatch and neural inertia across state transitions

bioRxiv
Yawning is a highly conserved behavior, yet its neural dynamics across arousal state transitions remain poorly understood. Classical reflex models fail to account for the precise timing of yawns during large-scale changes in brain network organizatio...

Adolescent Astrocyte Dysregulation Impairs Prefrontal Interneuron Maturation and Adult Cognition

bioRxiv
The prefrontal cortex (PFC), a brain region critical for executive and cognitive functions, is characterized by its protracted maturation extending through adolescence until early adulthood. During adolescence, the PFC undergoes substantial rearrange...