bioRxiv

Showing 4341 to 4350 of 5016 articles

AlphaBridge: tools for the analysis of predicted biomolecular complexes

bioRxiv Jan 1, 2025
Artificial intelligence (AI)-powered protein structure prediction has transformed how scientists explore macromolecular function. AI-based prediction of macromolecular complexes is increasingly used for evaluating the likelihood of proteins forming c...
View on bioRxiv DOI

Cellular interactions in the sentinel lymph node predict melanoma recurrence

bioRxiv Jan 1, 2025
Melanoma outcomes have dramatically improved over the past decade, but some patients still experience disease recurrence, particularly those who present at later stage of disease. Prior studies identified an altered immune microenvironment in the sen...
View on bioRxiv DOI

Graph embeddings for identifying symmetries in connectomes

bioRxiv Jan 1, 2025
In many circuit models of neural computation, synaptic connections between neurons are organized according to their tuning to the variables being processed. The connectivities of canonical neural network models of head direction, spatial navigation, ...
View on bioRxiv DOI

BCL-XL Dependence is a Subtype Agnostic Actionable Feature of Difficult-to-Treat Kidney Cancers

bioRxiv Jan 1, 2025
The BCL-XL anti-apoptotic protein is a clear cell Renal Cell Carcinoma (ccRCC) dependency; however, the mechanism of this dependence and its relevance in other aggressive kidney cancer contexts, including metastatic and/or rare RCC subtypes [e.g., Fu...
View on bioRxiv DOI

Multimodal Connectivity-based Cortical Segmentation with Graph Neural Networks

bioRxiv Jan 1, 2025
Due to the significant amount of time and expertise needed for manual segmentation of the brain cortex from magnetic resonance imaging (MRI) data, there is a substantial need for efficient and accurate algorithms to replace the need for human involve...
View on bioRxiv DOI

SynPROTAC: synthesizable PROTACs design through synthesis constrained generative model and reinforcement learning

bioRxiv Jan 1, 2025
Protein hydrolysis targeting chimeric (PROTAC) has emerged as a promising technology in degrading disease-related proteins for drug design. Recent deep generative models can accelerate PROTAC design, but the generated molecules are often difficult to...
View on bioRxiv DOI

Fast Loading and Transformation of Large-Volume Bioimaging Data Consistently Approaching the I/O Peak Speed

bioRxiv Jan 1, 2025
High-resolution large-volume biological imaging techniques are now widely used in biological research, but inefficiencies in data processing and visualization persist due to bottlenecks in loading/saving pipelines and limitations of conventional pyra...
View on bioRxiv DOI

GlycanGT: A Foundation Model for Glycan Graphs with Pretrained Representation and Generative Learning

bioRxiv Jan 1, 2025
Glycans are highly diverse biological sequences, but their functional understanding has lagged behind that of proteins and nucleic acids. Many glycans remain incompletely characterized or ambiguously annotated, limiting computational analyses. Existi...
View on bioRxiv DOI

Designing Cell–Cell Relation Extraction Models: A Systematic Evaluation of Entity Representation and Pre-training Strategies

bioRxiv Jan 1, 2025
Extracting cell–cell communication (CCC) from biomedical literature is essential for supporting experimental and computational analyses of intercellular interactions. Although Large Language Models (LLMs) have advanced many NLP tasks, their generativ...
View on bioRxiv DOI

Brain–AI Alignment in Naturalistic Movies

bioRxiv Jan 1, 2025
Naturalistic paradigms offer a powerful window into human cognition, but it remains difficult to link rich, continuous movie content to distributed brain activity in an interpretable way. In this study, I use a multimodal large language model (Gemini...
View on bioRxiv DOI
Popular Topics
Popular Journals