AIMC Journal:
bioRxiv

Showing 1411 to 1420 of 4956 articles

De novo designed cyclic MC4R peptide agonist reduces food intake in mice

bioRxiv May 21, 2026
Deep learning-based structure prediction enables the design of peptide ligands without relying on naturally occurring scaffolds. However, most computationally generated peptides are not advanced beyond initial activity measurements, leaving the path ...
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S-IGTD: supervised tabular-to-image topology learning via between-group correlation for multiclass classification of biological data

bioRxiv May 21, 2026
Motivation: Tabular-to-image methods allow convolutional neural network (CNN)-based classifiers to analyse high-dimensional biological tables by mapping features onto a two-dimensional grid. Existing layouts are usually driven by unsupervised global ...
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DigitAb: Domain-Adaptive Cell Type Prediction Method from Light Microscopy Images

bioRxiv May 21, 2026
Light microscopy imaging with histological stains is central to disease diagnosis and research. It is enhanced with immunostaining to reveal cellular composition and complexity linked to clinical utility and biological mechanisms. Emerging multiplex ...
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Antimicrobial peptide databases and prediction tools: Toward a standard evaluation framework

bioRxiv May 21, 2026
Antimicrobial resistance (AMR) has a profound impact on animal and human health and is associated with substantial morbidity, mortality and public health costs. There is a clear need to develop novel, effective antibiotic agents, which can overcome t...
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Equilibrium Propagation with Predictive Learning in Leaky Integrate-and-Fire Spiking Neural Networks

bioRxiv May 21, 2026
Equilibrium propagation (EP) is a biologically plausible alternative to backpropagation that has demonstrated competitive performance across a range of machine learning tasks. Recent work has extended EP to spiking neural networks (SNNs), leveraging ...
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A single-nucleotide change in the Kozak sequence enhances protein expression

bioRxiv May 21, 2026
In vitro-transcribed messenger RNA (IVT mRNA) has emerged as a versatile protein expression platform with broad clinical potential. Current optimization strategies for IVT mRNA focus on untranslated regions (UTRs), mRNA stability, and codon usage, of...
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AI-assisted improvement of Aspergillus oryzae β-galactosidase using an Ensemble of Protein Language Models

bioRxiv May 21, 2026
{beta}-galactosidases (BGs) are essential enzymes widely used in the food industry, particularly in the production of lactose-free products. Among them, the BG from Aspergillus oryzae is of industrial relevance due to its activity at acidic pH and mo...
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RANKOR: Direct Drug Prioritization from Bulk and Single-Cell Transcriptomic Signatures

bioRxiv May 21, 2026
Background Prioritizing therapeutics from transcriptomic data remains a key challenge in precision medicine. Signature reversal approaches, most commonly implemented through Gene Set Enrichment Analysis (GSEA), have been widely used to match disease ...
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scDeepVariant: A population-informed deep learning framework for germline variant calling in scRNA-seq

bioRxiv May 21, 2026
Single-cell RNA sequencing (scRNA-seq) provides unprecedented resolution of cellular heterogeneity while also capturing information on germline genetic variation, but accurate variant calling remains limited by sparse coverage, allelic imbalance, and...
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Rhythmic temporal structure organizes recurrent dynamics to support sequential working memory

bioRxiv May 21, 2026
Rhythmic temporal structure improves working memory, but how this benefit emerges from recurrent dynamics remains unclear. Here, we trained excitatory-inhibitory recurrent neural networks with short-term synaptic plasticity to perform a sequential de...
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