AIMC Journal:
bioRxiv

Showing 1011 to 1020 of 4938 articles

A complete RXFP1-relaxin interaction model unlocks the design of potent mini-protein modulators

bioRxiv Jun 22, 2026
Relaxin family peptide receptor 1 (RXFP1) is a multi-domain GPCR with compelling therapeutic potential, yet uncertainty surrounding the mechanism of its activation by the hormone H2 relaxin has hindered the development of selective modulators. Here, ...
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EventHorizon: A Foundation Model for Clinical Flow Cytometry

bioRxiv Jun 22, 2026
Flow cytometry is an essential tool for diagnosis of hematologic malignancies, but existing clinical workflows are highly dependent on expert manual interpretation. Existing machine learning approaches typically require extensive labeled data and are...
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Trait anxiety is associated with idiosyncratic neural event boundaries during naturalistic movie-watching

bioRxiv Jun 22, 2026
Anxiety is associated with altered patterns of attention to images and objects, but how it influences the perception of continuous experiences remains underexplored. Here, we examined whether trait anxiety is associated with differences in how the br...
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CellTosg2Sequence: A Unified Text-Omics-Signaling-Graph Large Language Model for Single-Cell Analysis

bioRxiv Jun 22, 2026
bioRxivLaTeXUnicodeabstract --- In single-cell (sc)-based scientific discovery, text-formatted biomedical prior knowledge and signaling graphs are essential for annotating and interpreting numeric sc-omics data and for generating novel testable hypot...
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Data aggregation strategies for a P300 speller: decoding models, epoch averaging, cross-subject ensembles, and multi-channel models

bioRxiv Jun 22, 2026
Accurate detection of P300 event-related potentials from electroencephalography (EEG) remains challenging for small numbers of trials due to low signal-to-noise ratios and substantial inter-subject variability. This study presents a systematic compar...
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Optimal Practice Schedules in a Dual-Rate Model of Motor Adaptation, and Their Recovery by Reinforcement Learning

bioRxiv Jun 22, 2026
A clinician guiding a stroke patient through a 45-minute rehabilitation session, a coach planning a training day, a teacher choosing the order of practice problems, they all face the same question: ``given everything practiced so far, what should the...
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VFB-MCP: Natural-Language Access to Drosophila Neuroscience Grounded by an Expert-Curated Ontology-Led Knowledgebase

bioRxiv Jun 21, 2026
Biological databases store curated knowledge that researchers traditionally access through web interfaces or APIs. To move beyond casual browsing requires domain-specific knowledge and expertise to frame the queries necessary to explore this data. Th...
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OracleScreen-LILRB4: Machine Learning-Guided Discovery of Myeloid Immune Checkpoint Binders Validated in Patient-Derived Cells

bioRxiv Jun 21, 2026
The identification of small molecule modulators of immune checkpoint proteins remains a significant challenge in drug discovery due to the flat, featureless nature of protein-protein interaction interfaces and the characteristically low hit rates obs...
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SPA-C: an hybrid tool to accurately scaffold genomes using Hi-C and Deep-Learning

bioRxiv Jun 21, 2026
Genome assembly is a computational pipeline designed to reconstruct chromosomes from small sequencing reads. Following their assembly, contiguous sequences (contigs) are arranged into chromosome-long sequences during scaffolding. Hi-C, a long-range l...
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DeepCDS: Ab initio coding sequence prediction in prokaryotic short reads

bioRxiv Jun 21, 2026
Accurate coding sequence prediction in short prokaryotic metagenomic reads remains challenging due to sequence fragmentation, unknown sequence origins, and sequencing errors. Here we introduce DeepCDS, a deep learning-based ab initio coding sequence ...
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