Computational Biology

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näkemys - Computational Biology

Enhancing Protein Structure Databases with Dynamic Behaviors and Physical Properties: The Dynamic PDB Dataset and a SE(3) Model Extension

This work introduces the Dynamic PDB dataset, which integrates dynamic behaviors and comprehensive physical properties for over 12,600 proteins, and proposes an extension of the SE(3) diffusion model to leverage this enriched data for improved protein trajectory prediction.

Impact of Hepatitis C Virus Transmission Dynamics and Treatment Uptake, Frequency and Timing on Cost-effectiveness

Incorporating hepatitis C virus transmission dynamics is crucial for accurately estimating the cost-effectiveness of directly acting antiviral treatments, especially as a function of treatment uptake rate. The timing and frequency of treatment programs also significantly impact their cost-effectiveness.

Harnessing Artificial Intelligence to Build Comprehensive Virtual Cell Models: Priorities, Opportunities, and Challenges

Artificial intelligence (AI) and the exponential growth in biological data present an unprecedented opportunity to construct comprehensive virtual cell models that can simulate cellular behavior, predict responses to perturbations, and uncover underlying mechanisms.

A Generalist Model for Robust Axon and Myelin Segmentation Across Diverse Histology Imaging Modalities

A generalist deep learning model for axon and myelin segmentation that outperforms dedicated single-domain models and generalizes better to out-of-distribution data by aggregating diverse histology imaging datasets.

Molecular Mesh Buildup Around Hunger Neurons Drives Obesity in Mice

Buildup of a molecular meshwork around neurons in the arcuate nucleus of the hypothalamus blocks insulin signaling, leading to increased food intake, fat accumulation, and metabolic problems in obese mice.