AIMC Journal:
bioRxiv

Showing 981 to 990 of 4938 articles

Integrating Machine-learning and Ultra-high-throughput Screening for Enzyme spaces exploration

bioRxiv
AbstractThe systematic navigation of biocatalyst space is constrained by elusive structure-activity rules and a lack of evolutionary history. Here, we present IMUSE, a strategy integrating machine learning with ultra-high-throughput screening. By scr...

BATTLE-AMP: Benchmarking Antimicrobial Peptide Predictors

bioRxiv
As antimicrobial resistance outpaces antibiotic development, antimicrobial peptides (AMPs) have emerged as a promising class of alternative antibacterials, and computational predictors are increasingly used to prioritize AMP candidates. Such predicto...

An atlas-scale generative model for unified representation learning of bulk RNA-seq data

bioRxiv
Public bulk RNA-seq repositories contain hundreds of thousands of samples, creating opportunities for large-scale representation learning, but integration across studies remains challenging because of heterogeneous annotations, experimental protocols...

TIDEST: post-imputation differential expression testing for spatial transcriptomics data

bioRxiv
Spatial transcriptomics enables the study of tissue organization in situ, but many high-resolution platforms measure only a limited gene panel, leaving much of the transcriptome unobserved. Although deep learning methods can reconstruct missing genes...

Trait anxiety drives premature disengagement despite intact opportunity-cost sensitivity

bioRxiv
Anxiety has been linked to difficulty sustaining engagement with ongoing tasks, even when continued engagement would yield greater rewards, yet the underlying mechanisms remain unclear. Here we examined how trait anxiety shapes sequential foraging de...

The Cerebellar Engine: Multiscale Digital Brain Co-simulations Reveal How Cerebellar Spiking Architecture Shapes Cortical Coherence

bioRxiv
The impact of cellular activities on large-scale brain dynamics is thought to determine brain functioning and disease, yet the causal relationships of neural mechanisms across scales remain unclear. Recently, the cerebellum has been reported to affec...

Semi-quantitative Classification of HIV-1 Nucleic Acids Using ResNet Image Analysis of Discretized Isothermal Amplification Reactions in a Microfluidic Chip

bioRxiv
Isothermal nucleic acid amplification tests enable rapid and decentralized molecular diagnostics but often lack robust quantitative readouts compared to quantitative PCR. Here, we present a semi-quantitative nucleic acid measurement approach using ma...

HyRes: Accurate Physics-Based Simulation of Dynamic Protein Structures and Interactions in Complex Environments at Scale

bioRxiv
Intrinsically disordered proteins and regions (IDPs) are ubiquitous cellular regulators. Uncovering how their transient, multivalent interactions organize and fine-tune cellular processes requires transferable methods capable of deriving dynamic conf...

Enhanced Prediction of Gut Microbiome-Related Diseases Using Hybrid Machine Learning Models

bioRxiv
The human gut, containing 100 trillion microbes, is also considered the second brain, having control over the different functions of the physiological system. With advancements in bioinformatics and the development of sequencing technologies, researc...

Acoustic detection of a rarely vocalising invasive mammal from sparse data

bioRxiv
1. Monitoring and limiting the spread of invasive species on islands requires efficient detection and population estimation methods. However, elusive species can be difficult to monitor using traditional methods, making autonomous approaches such as ...