AIMC Journal:
bioRxiv

Showing 2141 to 2150 of 4956 articles

The FAIRSCAPE AI-readiness Framework for Biomedical Research

bioRxiv
Objective: Biomedical datasets intended for use in AI applications require packaging with rich pre-model metadata to support model development that is explainable, ethical, epistemically grounded and FAIR (Findable, Accessible, Interoperable, Reusabl...

Likelihood-Free Parameter Inference for Spatiotemporal Stochastic Biological Models using Neural Posterior Estimation

bioRxiv
Cell migration is a key biological process underlying wound healing, tissue development, and cancer metastasis, yet calibrating mathematical models of migration to experimental data remains a major challenge. Scratch and barrier assays are widely use...

Faster science, penalties in evaluation, and concerns on quality and impact: Researchers' use and perceptions of preprints

bioRxiv
The preprint ecosystem has expanded rapidly over the past decade, fundamentally altering science communication. Yet, the scholarly community's attitudes toward this shift remain underexplored. Through a large-scale survey of US and Canadian biomedica...

Molecular and phenotypic footprints of climate in native Arabidopsis thaliana

bioRxiv
Climate change poses a major threat to humanity by driving biodiversity loss and reducing crop yields. To understand the molecular and developmental impacts of rising temperatures, plant science has relied heavily on the model organism Arabidopsis th...

A human iPS cell line for ready-to-use human iAstrocytes that support human neurons

bioRxiv
Human iPSC-derived neuronal networks are increasingly being employed in basic and applied research to enhance translation. Astrocytes are essential for neuronal network function, but are often not included, or replaced with mouse astrocytes, which co...

LLMsFold: Integrating Large Language Models and Biophysical Simulations for De Novo Drug Design

bioRxiv
The discovery of novel small molecules is challenging because of the vastness of chemical space and the complexity of protein-ligand interactions, leading to low success rates and time-consuming workflows. Here, we present LLMsFold, a computational f...

On improving experimental binding affinity predictions with synthetic data

bioRxiv
The success of deep learning binding affinity prediction models depends critically on expanding experimental data with reliable synthetic data. We extend the Structurally Augmented IC50 Repository (SAIR) with {approx}80K absolute free energy perturba...

FishWIO: a labeled image dataset of Western Indian Ocean reef fishes for training and testing classification algorithms

bioRxiv
Monitoring fish communities is essential for understanding biodiversity dynamics and coral reef ecosystem health. Underwater imaging provides a non-invasive and repeatable approach for such monitoring, yet analysis of large volumes of video data rema...

A screen for stress-induced sleep genes in C. elegans reveals a role for glutamate signaling

bioRxiv
Sleep is an essential behavioral state that evolved early in animals, possibly with the advent of the nervous system. The complexity of sleep neural networks varies significantly across phylogeny, yet common signaling molecules exist. Stress-induced ...

Evolutionary profile enhancement improves protein function annotation for remote homologs

bioRxiv
Accurate annotation of protein function is essential for understanding biological processes, yet this remains challenging for proteins lacking characterized homologs or belonging to underrepresented functional classes. Although machine learning appro...