AIMC Journal:
bioRxiv

Showing 1511 to 1520 of 4956 articles

Testing the mutation accumulation hypothesis in aging with AlphaGenome

bioRxiv May 15, 2026
The mutation accumulation (MA) hypothesis posits that somatic mutations progressively escape selection and degrade tissue function during aging. Direct tests of this idea have been limited by the difficulty of predicting, at scale, the molecular cons...
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Electrodiffusion analysis of concentration and voltage changes in thin cylindrical domains using cross-diffusion modelling

bioRxiv May 15, 2026
A major challenge in neuroscience is to predict how currents in nanodomains affect voltage and ionic concentrations. Cable and Rall theory provide analytic current-voltage relations by neglecting concentration gradients, and the impact of concentrati...
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Identification of non-covalent inhibitors for the atypical peroxiredoxin PRDX5 as a therapeutic strategy in malignant pleural mesothelioma

bioRxiv May 15, 2026
Malignant pleural mesothelioma (MPM) is an aggressive asbestos-linked cancer with limited therapeutic options and a dismal 5-year survival rate of ~5%. While aberrant production of reactive oxygen and nitrogen species (ROS/RNS) is a hallmark of MPM, ...
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Emergent representations of graphical structure in mechanistic neural models of causal judgment

bioRxiv May 15, 2026
Humans have a remarkable ability to judge causal relationships from a limited number of unreliable observations. Past work on causal cognition has largely focused on normative accounts of human behavior, leaving unknown how biologically plausible neu...
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Physics-Informed Neural Networks for Parameter Recovery in the Repressilator Oscillatory Model

bioRxiv May 15, 2026
Parameter estimation in nonlinear biological dynamical systems is a difficult inverse problem because the governing equations are often stiff or oscillatory, the data are sparse and noisy, and the objective landscape is non-convex. Physics-informed n...
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Tsallis-Gated Autoencoder: A Nonextensive Physics-Informed Approach for Unsupervised Anomaly Detection in Glioblastoma Multiforme RNA-seq Data

bioRxiv May 15, 2026
Glioblastoma multiforme (GBM) is characterised by profound genomic heterogeneity and heavy-tailed gene-expression distributions that challenge conventional machine-learning methods. We introduce the Tsallis-Gated Autoencoder (Tsallis-GAE), a physics-...
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Comparison of Machine Learning Surrogate Models for Prediction of Single-Fiber Activation in Deep Brain Stimulation

bioRxiv May 15, 2026
Machine-learning surrogate models are positioned to help optimize deep brain stimulation (DBS) usage by predicting neural activation in response to electrical stimulation, while minimizing tradeoffs between computational expense and accuracy. Previou...
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Design of DNA Aptamers for Lyme disease Diagnosis Combining experimental and numerical approaches

bioRxiv May 15, 2026
Aptamers are single stranded DNA or RNA molecules selected for their high affinity and specificity to bind target molecules, similar to antibodies. They are commonly selected through the SELEX process, which involves the iterative exposure of a rando...
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Metabolic Self-Organization: Emergence of Autonomous Agency in a Metabolically Constrained LLMs

bioRxiv May 15, 2026
Biological organisms are driven by thermodynamic self-preservation, whereas large language models operate as dissipative tools decoupled from existential constraints. We introduce a metabolic model translating this imperative of life into a computati...
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Deep learning models for chemical perturbation prediction do not yet utilise drug molecular features

bioRxiv May 15, 2026
Recent deep learning models for L1000 chemical perturbation prediction incorporate dedicated drug molecular encoders. We retrained seven such models from scratch with zeroed or shuffled drug inputs, and compared them with a multilayer perceptron that...
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