AIMC Journal:
bioRxiv

Showing 1091 to 1100 of 4938 articles

OmicsNavigator: An auditable scientific partner for scalable hypothesis validation in spatial omics

bioRxiv Jun 14, 2026
Translating high-dimensional, spatially resolved molecular datasets into testable biological findings remains a major research bottleneck. Here, we present OmicsNavigator, an autonomous large language model-powered system for end-to-end data explorat...
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Unlocking Your Programmable and Creative RNA Sequence Designer with RDiffusion

bioRxiv Jun 13, 2026
As a cornerstone of the central dogma, RNA has both witnessed and actively shaped three billion years of evolution. Over this vast timescale, a remarkable diversity of RNA molecules has emerged, executing functions that extend far beyond traditional ...
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Virus-human protein-protein interactions predict viral phenotypes

bioRxiv Jun 13, 2026
Viral phenotypes such as host and tissue tropism are critical determinants of viral infection and transmission. Inferring viral phenotypes presents unique challenges compared to cellular organisms, as viruses rely entirely on host machinery for repli...
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ADMETron: An AI-driven SaaS platform for comprehensive ADMET prediction and compound prioritisation

bioRxiv Jun 13, 2026
ONTOSIGHT(R) ADMETron is an AI-driven platform designed for rapid prediction and visualization of Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties to support modern drug discovery. The platform integrates an interactiv...
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Reinforcement learning-driven unified generative framework for multi-objective RNA codon design

bioRxiv Jun 13, 2026
Current RNA codon design methods are limited by inefficient long-sequence processing and poor generalizability, often relying on a decoupled "generate-or-optimize" paradigm. We introduce RNARL, a reinforcement learning-driven framework that unifies s...
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PertDiffBench: Benchmarking Diffusion Models for Single-Cell Perturbation Response Prediction

bioRxiv Jun 13, 2026
Diffusion models are increasingly used to predict transcriptional responses to perturbations, but whether they improve on simpler generative and representation-based baselines remains unclear. Existing evaluations often do not separate the effects of...
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Systematic functional annotation of thousands of BAHD acyltransferases in plant genomes using Protein Language Model and phylogenomic tools

bioRxiv Jun 12, 2026
The functional annotation of plant genes lags significantly behind their genomic annotation. Closing this gap requires thorough cataloging of reported protein activities alongside predictive methods that scale beyond sequence-similarity inference. Fo...
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Mapping distribution of invasive plant species and uncertainty using citizen science, remote sensing, and deep learning

bioRxiv Jun 12, 2026
Invasive plants pose a major environmental problem, threatening biodiversity, altering ecosystem functions, and causing economic loss. Climate change is altering environmental conditions, potentially facilitating the spread of invasive plant species,...
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AI-enabled discovery of small molecules targeting complementary pathways for hair follicle rejuvenation

bioRxiv Jun 12, 2026
Hair thinning arises from multi-faceted dysfunction within the hair follicle, driven by both intrinsic cellular pathways and pathways responding to extrinsic hormonal and microenvironmental cues. Here, we present an AI-enabled discovery framework for...
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PHI-Reason: evidence-grounded species-level phage-host prediction from structured biological text profiles

bioRxiv Jun 12, 2026
Phage--host interaction (PHI) prediction is a fundamental problem in microbiology with applications in microbial ecology and microbiome engineering. Existing computational approaches typically convert phage and host information into numerical represe...
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