AIMC Journal:
bioRxiv

Showing 3111 to 3120 of 4993 articles

Molecular characterization of an adhesion GPCR signal transduction

bioRxiv Jan 1, 2025
Key cellular processes rely on the transduction of extracellular mechanical signals by specialized membrane receptors, including adhesion G-protein-coupled receptors (aGPCRs). While recent studies support aGPCR activation via shedding of the extracel...
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On the utility of Deep Learning for model classification and parameter estimation on complex diversification scenarios

bioRxiv Jan 1, 2025
Birth-Death models applied to dated phylogenies are a useful tool to study past diversification dynamics. Parameters in these stochastic models are typically inferred using likelihood-based methods such as Maximum Likelihood Estimation (MLE) or Bayes...
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ECOD: Classification of domains in AFDB Swiss-Prot structure predictions

bioRxiv Jan 1, 2025
The development of highly accurate protein structure prediction algorithms has led to an explosion of structural data, transforming our understanding of protein structure-function relationships across diverse organisms. Domain classifications such as...
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Three-dimensional spatial transcriptomics at isotropic resolution enabled by generative deep learning

bioRxiv Jan 1, 2025
Mapping the complete three-dimensional (3D), transcriptome-wide spatial architecture of tissues and organs remains a fundamental challenge in biology. Typically, studies approximate 3D structures by profiling serial two-dimensional (2D) tissue sectio...
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SKOOTS: Skeleton-oriented object segmentation for mitochondria

bioRxiv Jan 1, 2025
Segmenting individual instances of mitochondria from imaging datasets can provide rich quantitative information, but is prohibitively time-consuming when done manually, prompting interest in the development of automated algorithms using deep neural n...
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Temporal constraints of conscious tactile perception in the primary somatosensory cortex

bioRxiv Jan 1, 2025
The primary somatosensory cortex (S1) has long been implicated in tactile perception, yet its precise role in conscious tactile detection remains uncertain. The current study investigated the causal and time-specific involvement of S1 in tactile dete...
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Music Scaffolds Visual Statistical Sequence Learning Through Network-Level Reorganization in the Brain

bioRxiv Jan 1, 2025
Statistical learning—the ability to extract patterns from noisy continuous experiences—is fundamental to human cognition. Yet, how contextual factors shape this process remains poorly understood. Music is an important example of such contextual facto...
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Dual-encoder contrastive learning accelerates enzyme discovery

bioRxiv Jan 1, 2025
The ability to engineer enzymes for desired reactions is a cornerstone of modern biotechnology, yet identifying suitable starting proteins remains a critical bottleneck. Dual-encoder contrastive learning models have emerged as a promising approach fo...
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DIPLOMAT: multi-animal tracking with efficient manual editing

bioRxiv Jan 1, 2025
Recent advances in computer vision have enabled the development of automated animal behavior observation tools. Several software packages currently exist for concurrently tracking pose in multiple animals; however, existing tools still face challenge...
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ELEN – Predicting Loop Quality in Protein Structure Models

bioRxiv Jan 1, 2025
Typically, sequences designed de novo are assessed in silico using deep learning-based protein structure prediction methods prior to wetlab testing. While these deep learning (DL) models excel at predicting well-ordered regions, accurate prediction o...
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