AIMC Journal:
bioRxiv

Showing 271 to 280 of 4935 articles

AutoScreen: AI Co-Scientist System for Target Discovery in Functional Genomics

bioRxiv Sep 10, 2026
Target discovery in functional genomics remains largely manual and time-consuming, lacking systematic tools for efficient and reproducible gene-level hypothesis generation. We introduce AutoScreen, an AI co-scientist system supporting target discover...
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Deep Learning-based Modeling Enhances Efficacy of Natural Ligand CAR Binders Targeting CD70

bioRxiv Sep 10, 2026
CD70 is well-recognized as a promising "pan-cancer: chimeric antigen receptor (CAR) T-cell target. Prior work has shown that a "natural ligand" (NL)-based CAR targeting CD70, employing its physiological interaction partner CD27, may have therapeutic ...
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Medicament identity rather than total loading governs the morphology of electrospun poly(vinylpyrrolidone) nanofibers for regenerative endodontics: a machine learning analysis of a failure-inclusive dataset

bioRxiv Sep 10, 2026
Electrospun fibers loaded with antibiotics or calcium hydroxide are being developed as intracanal carriers for regenerative endodontics, where the dose must stay low enough to spare the stem cells that repopulate the canal. Formulation development sw...
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ProMaya: a hierarchical universal Deep Learning framework for accurate and interpretable Protein-Protein interaction identification

bioRxiv Sep 8, 2026
Protein-protein interactions (PPIs) are molecular lego which define the physical states of cells. Accurately identifying PPIs remains challenging due to the interplay of several factors ranging from electrostatic to molecular geometry, topology, and ...
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A geometry-over-coevolution principle governs protein complex assembly in AlphaFold

bioRxiv Sep 8, 2026
AlphaFold has revolutionized protein complex structure prediction, yet how it assembles intermolecular interfaces remains poorly understood. Contrary to the prevailing view that inter-protein coevolution drives complex prediction, we uncover a geomet...
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FFPERescuer: deep unsupervised domain adaptation for the reconstruction of gene expression profiles derived from formalin-fixed paraffin-embedded samples

bioRxiv Sep 8, 2026
Formalin-fixed paraffin-embedded (FFPE) tumor tissues often suffer from RNA degradation, posing a long-standing challenge for reliable transcriptomic profiling. Here, we propose FFPERescuer, a deep learning framework employing unsupervised domain ada...
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A common structure in recurrent networks supports neural sequence generation locally and in downstream neurons

bioRxiv Sep 8, 2026
Neural sequences, characterized by neurons or groups of neurons that fire one after the other, have been observed in multiple brain regions, across species, and are known to underlie a diversity of brain functions. To flexibly support behaviour and c...
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Concurrent model evidence computation and posterior sampling in continuous attractor network subspaces

bioRxiv Sep 8, 2026
Extensive studies suggest the brain performs Bayesian inference to infer the latent world states. It is a fundamental neuroscience question that how canonical recurrent neural circuits in the brain implement Bayesian inference. Many existing theoreti...
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Preferred visual experiences provide intuitive descriptions of the functional properties of the cortical navigation network

bioRxiv Sep 8, 2026
Complex, high-dimensional brain representations are often difficult to understand intuitively. Recent advances in generative neural networks have made it possible to predict the optimal stimulus that maximizes the activity in a specific brain region....
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TCRdenoise - an unsupervised similarity-based approach for denoising of TCR-pMHC specificity data

bioRxiv Sep 8, 2026
Public repositories of T cell receptor (TCR)-peptide-MHC (pMHC) interactions constitute a critical resource for studying adaptive immunity and developing predictive models of TCR specificity. However, recent evidence suggests that a substantial fract...
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