bioRxiv

Showing 3791 to 3800 of 5001 articles

Mosquito vector ecologies are destabilizing as a result of climate change

bioRxiv Jan 1, 2025
Mosquito-borne infectious disease is a major cause of mortality and a significant economic burden worldwide. Shifting regional and seasonal patterns make proactive intervention challenging. Here we introduce a machine learning approach trained on sat...
View on bioRxiv DOI

Pocket-based molecule generation with an SE(3)-equivariant language model leads to a potent and selective HPK1 inhibitor with in vivo efficacy

bioRxiv Jan 1, 2025
Deep learning shows promise in structure-based drug discovery, yet challenges persist in generating pharmacologically plausible molecules with valid 3D conformation and decent binding mode in the pocket. We introduce SE3-BiLingoMol, an SE(3)-equivari...
View on bioRxiv DOI

Mapping the Cerebello-Hippocampal Circuit: Normative Patterns and Sex-Dependent Connectivity

bioRxiv Jan 1, 2025
Cerebello-hippocampal (CB-HP) interactions have been implicated in spatial abilities and reinforcement learning, yet their relationship to behavior and differences in connectivity with sex in early adulthood are unclear. Resting CB-HP network pattern...
View on bioRxiv DOI

Transcriptional Signatures of Field Cancerization in Gastric Cancer

bioRxiv Jan 1, 2025
The high rate of local recurrence in gastric adenocarcinoma (GA) suggests that carcinogenesis is not a focal event but a field-wide process. This phenomenon, known as “field cancerization,” posits that histologically normal peritumoral tissue is, in ...
View on bioRxiv DOI

EZ-FRCNN: A Fast, Accessible and Robust Deep Learning Package for Object Detection Applications from Ethology to Cell Biology

bioRxiv Jan 1, 2025
Advances in high-throughput imaging and experimental automation have dramatically increased the scale of biological datasets, creating a growing need for tools that can efficiently identify and localize features in complex image data. Although deep l...
View on bioRxiv DOI

A genetic algorithm for self-supervised models of oscillatory neurodynamics

bioRxiv Jan 1, 2025
Predictive processing theories propose that the brain supervises itself, to build an internal model of its environment. This internal model emerges by minimizing the prediction error, the discrepancy between internally generated predictions and exter...
View on bioRxiv DOI

SynAnno: Interactive Guided Proofreading of Synaptic Annotations

bioRxiv Jan 1, 2025
Connectomics, a subfield of neuroscience, aims to map and analyze synapse-level wiring diagrams of the nervous system. While recent advances in deep learning have accelerated automated neuron and synapse segmentation, reconstructing accurate connecto...
View on bioRxiv DOI

MultiAlloDriver: a multi-model method to predict and identify cancer driver mutations

bioRxiv Jan 1, 2025
A minority of driver mutations in cancer significantly alter protein structure and key functionalities, thereby driving cancer progression. Consequently, the prediction and identification of driver mutations hold critical implications for targeted ca...
View on bioRxiv DOI

Time-series modeling with neural flow maps

bioRxiv Jan 1, 2025
Constructing mathematical models from data is fundamental for understanding complex systems across scientific disciplines. However, real-world data often pose challenges such as irregular sampling, sparsity, and noise, that hinder the development of ...
View on bioRxiv DOI

The genetic architecture of the human bZIP interaction network

bioRxiv Jan 1, 2025
Generative biology holds the promise to transform our ability to design and understand living systems by creating novel proteins, pathways, and organisms with tailored functions that address challenges in medicine, sustainability, and technology. How...
View on bioRxiv DOI
Popular Topics
Popular Journals