AIMC Journal:
bioRxiv

Showing 2151 to 2160 of 4956 articles

Generative AI designs functional thiolation domains for reprogramming non-ribosomal peptide synthetases

bioRxiv Mar 4, 2026
Large language models and generative protein design promise to accelerate biotechnology, but it remains unclear whether they can engineer dynamic megasynth(et)ases whose activity depends on transient, context-specific domain interfaces. Nonribosomal ...
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Ligand-guided Sequence-structure Co-design of De Novo Functional Enzymes

bioRxiv Mar 4, 2026
Proteins underpin essential biological functions across all kingdoms of life. The capacity to design novel proteins with tailored activities holds transformative potential for biotechnology, medicine, and sustainability. However, since protein functi...
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Wiz regulates clustered protocadherin genes by restricting CTCF/cohesin loop extrusion in a genomic-distance biased manner

bioRxiv Mar 4, 2026
Zinc finger (ZF) proteins (ZFPs) constitute the largest family of transcription factors in mammals; however, their regulatory mechanism remains largely elusive. Here we propose COP (C2H2-ZFP occupancy predictor), a deep learning framework that integr...
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Neural Encoding of Immediate and Instrumental Value During Planning

bioRxiv Mar 3, 2026
Planning is a key executive function that enables humans to anticipate future outcomes by mentally simulating action sequences and balancing immediate gains against long-term goals. While we developed a partial understanding of neural mechanisms of p...
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A foundation AI model enhances electron microscopy image analysis

bioRxiv Mar 3, 2026
Electron microscopy (EM) and advanced volume EM have extensive applications in deciphering cellular ultrastructures for life sciences. However, quality issues of EM images significantly impede the precise analysis and discovery of nanoscale biologica...
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NN-Assisted Image Analysis for Quantifying Intracellular Trypanosoma cruzi Infection

bioRxiv Mar 3, 2026
Trypanosoma cruzi infection remains a central, yet methodologically challenging step in Chagas disease research and early-stage drug discovery. Current approaches largely rely on manual microscopy-based counting or on genetically modified parasites, ...
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Exploration of the screening and regulatory mechanisms of biomarkers related to ac4C modification in laryngeal squamous cell carcinoma patients based on single-cell analysis and machine learning

bioRxiv Mar 3, 2026
Background: N4-acetylcytidine (ac4C) modification plays a critical role in cancer development. Exploring ac4C modification in laryngeal squamous cell carcinoma (LSCC) may help elucidate its pathogenesis. Methods: LSCC-related datasets were obtained f...
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iGS: A Zero-Code Dual-Engine Graphical Software for Polygenic Trait Prediction

bioRxiv Mar 3, 2026
Genomic selection (GS) has become the core driving force in modern plant and animal breeding. However , state-of-the-art comprehensive GS tools often rely on complex underlying environment configurations and command-line operations, posing significan...
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Phenotypic Bioactivity Prediction as Open-set Biological Assay Querying

bioRxiv Mar 3, 2026
The traditional drug discovery pipeline is severely bottlenecked by the need to design and execute bespoke biological assays for every new target and compound, which is both time-consuming and prohibitively expensive. While machine learning has accel...
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h5adify: neuro-symbolic metadata harmonizationenables scalable AnnData integration with locallarge language models

bioRxiv Mar 3, 2026
Background: The rapid growth of public single-cell and spatial transcriptomics repositories has shifted the main bottleneck for atlas-scale integration from data generation to metadata heterogeneity. Even when datasets are released in the AnnData H5A...
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