AIMC Journal:
bioRxiv

Showing 1391 to 1400 of 4956 articles

Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine Learning

bioRxiv May 23, 2026
Accurate in vivo prediction of neuropathology is critical for advancing diagnosis and treatment of Alzheimer's disease and related dementias (ADRDs). As many individuals with ADRDs have mixed pathologies ({beta}-amyloid, pathologic tau, cerebrovascul...
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AE-PocketMiner Uses Attention to Simultaneously Predict Cryptic Pockets and Their Allosteric Coupling

bioRxiv May 23, 2026
Finding and targeting cryptic pockets could dramatically expand the druggable proteome. However, discovering these sites remains challenging since they are only open a fraction of the time. It is also difficult to predict the functional relevance of ...
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Protein-level prediction of Klebsiella phage adsorption identifies conserved receptor-binding motifs.

bioRxiv May 23, 2026
Bacteriophage therapy offers a potential route to treat antibiotic-resistant Klebsiella pneumoniae infections, but its use is limited by the narrow specificity of phage-host interactions. In Klebsiella, adsorption is largely determined by receptor-bi...
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Does the sequence of a disordered protein encode small molecule binding paths?

bioRxiv May 23, 2026
Ligand binding to intrinsically disordered proteins resists description in terms of conventional binding pockets, yet it can be analysed as a dynamic process in which ligands move across transient surface interaction sites. Here we characterise a pat...
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OpenSplice: the impact of half a million mutations on the alternative splicing of 600 human exons

bioRxiv May 23, 2026
Alternative splicing of mRNA precursors is an important step in gene regulation and a major mechanism by which genetic variants cause human disease. However, changes in splicing have only been quantified for a tiny fraction of possible variants in th...
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Large language model inference of macromolecular complex composition via model consensus and experimental data integration

bioRxiv May 23, 2026
Large language models (LLMs) are poised to reshape how biologists retrieve specialized knowledge at scale. Yet their performance on deep, domain-specific queries is poorly defined because much biological information resides in structured databases or...
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Performance of IBD machine learning classifiers varies across microbiome training data independent of geographic diversity

bioRxiv May 22, 2026
Microbiome-based machine learning classifiers show increasing promise for disease identification across gastrointestinal, metabolic, and immune-mediated conditions. Inflammatory bowel disease (IBD), a chronic immune-mediated disorder associated with ...
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A community machine learning challenge to predict the effects of gene perturbations on T cell differentiation for cancer immunotherapy

bioRxiv May 22, 2026
Perturbations of genes with functional importance in T cells could be used to change the distribution of CD8 T cell states to enhance anti-tumor functions for cancer immunotherapies. We launched a world-wide computational challenge to predict the eff...
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Application of modern mathematical methods for species discrimination in the water fleas (Cladocera: Branchiopoda) that appear similar to the human eye: case of Bosmina (Bosmina) longirostris (O.F. Muller, 1776) from European Eurasia and Sakhalin Island

bioRxiv May 22, 2026
Intraspecific morphological variability presents a complex challenge for biological systematics and biomonitoring, particularly for organisms with high phenotypic plasticity, such as zooplankton. Morphological differences between individuals of the w...
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Internal state dynamically gates task-specific attractor dynamics in prefrontal cortex

bioRxiv May 22, 2026
Internal states such as motivation and task engagement influence cognitive functions. Working memory, which maintains information over time, is an essential component of cognition and is modulated by motivation. Here, we show motivational states modu...
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