bioRxiv

Showing 4311 to 4320 of 5016 articles

ExactCN: Predicting Exact Copy Numbers on Whole Exome Sequencing Data

bioRxiv Jan 1, 2025
The quantification of the precise copy number variations (CNVs) is crucial to understanding the effects of gene dosage, disease severity, and therapeutic response. Although whole-exome sequencing (WES) offers a cost-effective solution for CNV detecti...
View on bioRxiv DOI

A unified model of short- and long-term plasticity: Effects on network connectivity and information capacity

bioRxiv Jan 1, 2025
Activity-dependent synaptic plasticity is a fundamental learning mechanism that shapes connectivity and activity of neural circuits. Existing computational models of Spike-Time-Dependent Plasticity (STDP) model long-term synaptic changes with varying...
View on bioRxiv DOI

A unified language model bridging de novo and fragment-based 3D molecule design delivers potent CBL-B inhibitors for cancer treatment

bioRxiv Jan 1, 2025
The rational design of small molecules is central to drug discovery, yet current artificial intelligence (AI) methodologies for generating three-dimensional (3D) molecules are often siloed, focusing on either de novo design or fragment-based design. ...
View on bioRxiv DOI

SHEST: Single-cell-level artificial intelligence from haematoxylin and eosin morphology for cell type prediction and spatial transcriptomics reconstruction

bioRxiv Jan 1, 2025
A comprehensive understanding of cancer progression requires integrating tissue morphol-ogy with spatial molecular profiles. We present SHEST, a multi-task profiling framework that leverages haematoxylin and eosin morphology to predict cellular compo...
View on bioRxiv DOI

Predictive power of different Akkermansia phylogroups in clinical response to PD-1 blockade against non-small cell lung cancer

bioRxiv Jan 1, 2025
Immune checkpoint blockade has emerged as a promising form of cancer therapy. However, only some patients respond to checkpoint inhibitors, while a significant proportion of patients do not, calling for the discovery of reliable biomarkers. Recent st...
View on bioRxiv DOI

Physics-Diffusion-Driven Multiscale Aggregation for Drug-Target Interaction Prediction

bioRxiv Jan 1, 2025
Drug-target interaction prediction is an important task in computational drug discovery. To address the limitations of existing graph neural network approaches in propagation depth and robustness, we propose PDDMA-DTI (Physics-Diffusion-Driven Multis...
View on bioRxiv DOI

Generalizable and scalable protein stability prediction with rewired protein generative models

bioRxiv Jan 1, 2025
Predicting changes in protein thermostability caused by amino acid substitutions is essential for understanding human diseases and engineering proteins for practical applications. While recent protein generative models demonstrate impressive zero-sho...
View on bioRxiv DOI

SAM-based Automatic Workflow for Histology Cyst Segmentation in Autosomal Dominant Polycystic Kidney Disease

bioRxiv Jan 1, 2025
Autosomal Dominant Polycystic Kidney Disease (ADPKD) is a genetic disorder characterized by the development of numerous cysts in the kidneys, ultimately leading to significant structural alterations and renal failure. Detailed investigations of this ...
View on bioRxiv DOI

PanSpace: Fast and Scalable Indexing for Massive Bacterial Databases

bioRxiv Jan 1, 2025
Species identification is a critical task in agriculture, food processing, and health-care. The rapid growth of genomic databases — driven in part by the increasing investigation of bacterial genomes in clinical microbiology — has outpaced the capabi...
View on bioRxiv DOI

Computational mechanisms for temporal integration in the anterior claustrum

bioRxiv Jan 1, 2025
The claustrum, with its extensive reciprocal connections to nearly all cortical regions, has long been hypothesized as a key hub for integrating diverse cognitive, sensory and motor information. However, despite its anatomical connectivity, whether a...
View on bioRxiv DOI
Popular Topics
Popular Journals