AIMC Journal:
bioRxiv

Showing 511 to 520 of 4935 articles

CARD:Epi - Contextualizing Antimicrobial Resistance Determinants Using Deep Learning Language Models

bioRxiv Aug 14, 2026
Bacterial outbreak publications outline the key factors involved in the uncontrolled spread of infection. Such factors include the environment, pathogens, hosts, and antimicrobial resistance genes (ARGs). Individually, each paper published in this ar...
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Maternal diet and genetics shape the human milk metabolome

bioRxiv Aug 14, 2026
Human milk contains a diverse array of metabolites that contribute to infant nutrition, immune development, and microbial colonization. The maternal factors shaping the milk metabolome, and the relative contribution of genetics or diet vs. other fact...
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A Two-Stage ESM-Based Machine Learning Pipeline for Robust Hierarchical Enzyme Function Prediction

bioRxiv Aug 14, 2026
Accurate enzyme annotation remains a major bottleneck in translating rapidly growing protein sequence data into biological knowledge. Enzyme Commission (EC) prediction is particularly challenging because enzyme functions are organized hierarchically,...
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Solving High-Dimensional Population Balance Equations via Dynamics-Preserving Autoencoders

bioRxiv Aug 11, 2026
High-dimensional population balance equations (PBEs) provide a natural framework for modeling heterogeneous cell populations, but their direct numerical solution becomes computationally prohibitive when the internal state space contains many molecula...
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RADIX: a deep learning framework that maps root barriers across species and reveals genetic and environmental contributions

bioRxiv Aug 10, 2026
Root anatomical barriers, including the suberized and lignified walls of the endodermis and exodermis, and cortical aerenchyma, regulate water and nutrient transport, gas exchange, and rhizosphere interaction. Their adaptive function places them as a...
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Glutamatergic systems in ctenophores

bioRxiv Aug 10, 2026
Despite glutamates widespread role as the dominant excitatory transmitter in vertebrate brains, the early evolution of glutamate and its recruitment into neural signaling remain largely unknown. The major limitation is the lack of information on its ...
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AI-Driven Computational Design of Peptide-Based WWP1 Inhibitors as Promising Therapeutic Agents Against Breast Cancer, Including Triple-Negative Subtype

bioRxiv Aug 10, 2026
Breast cancer (BC) is the second most common noncutaneous cancer and the second leading cause of cancer-related death in women. BC is classified into three primary subtypes, with triple-negative breast cancer (TNBC) having the poorest prognosis becau...
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Scalable Extraction of Information on Protein-Protein Interactions using Topological Data Analysis

bioRxiv Aug 9, 2026
Protein-protein interactions (PPIs) govern a wide range of cellular functions. The ability to predict PPI interfaces from protein molecular surfaces is important for understanding protein function and enabling therapeutic discovery. While recent adva...
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Continuous attractor circuits for decision making with Laplace-domain neural representations

bioRxiv Aug 9, 2026
Decision formation is commonly described as the accumulation of noisy evidence in a low dimensional decision variable, but it remains unclear how this latent computation is implemented by heterogeneous neural responses. Here, we propose that ramping ...
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A membrane-impermeant nucleic acid dye converts bacteriophage plaque assays into a machine-readable format for automated counting

bioRxiv Aug 9, 2026
Plaque assays remain the gold standard for bacteriophage quantification, but routine plaque counting is labor-intensive, time-consuming, and poorly suited to large experiments or automated workflows. Conventional plaque images also often provide insu...
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