AIMC Journal:
bioRxiv

Showing 2971 to 2980 of 4993 articles

Structure-based Generation of a Secondary Nucleation Inhibitor in α-Synuclein Aggregation Using a Conditional Diffusion Model

bioRxiv Jan 1, 2025
The process of α-synuclein aggregation results in the formation of amyloid fibrils, which accumulate in the brain of patients affected by Parkinson’s disease. Among possible therapeutic strategies to cure this disease, one approach is based on the de...
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Non-invasive Ultrasonic Neuromodulation of the Human Nucleus Accumbens Impacts Reward Sensitivity

bioRxiv Jan 1, 2025
Precisely neuromodulating deep brain regions could bring transformative advancements in both neuroscience and treatment. We demonstrate that non-invasive transcranial ultrasound stimulation (TUS) can selectively modulate deep brain activity and affec...
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Discovery of Prognostic Biomarkers in Gastric Cancer Through Machine Learning and Bioinformatics Analysis of Gene Expression Data

bioRxiv Jan 1, 2025
Gastric cancer (GC) often gets diagnosed in its advanced stages, resulting in poorer prognoses. To identify potential biomarkers in GC, we used fifteen datasets from NCBI-GEO and integrated them into a complete dataset. From the complete dataset, we ...
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Machine Learning-Based Bioactivity Prediction of Potential PPAR-γ Agonists for the Management of Diabetes

bioRxiv Jan 1, 2025
This research paper presents a machine learning approach to predict bioactivity of compounds that can act as PPAR-gamma agonist, a critical target for diabetes treatment. Using data from the ChEMBL database, molecular descriptors were calculated and ...
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Tension shapes memory: Computational insights into neural plasticity

bioRxiv Jan 1, 2025
Mechanical forces have recently emerged as critical modulators of neural communication, yet their role in high-level cognitive functions remains poorly understood. Here, we present a biologically inspired spiking neural network model that integrates ...
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ProStab: Prediction of protein stability change upon mutations by protein language and inverse folding models

bioRxiv Jan 1, 2025
Predicting protein stability change upon mutation is critical for protein engineering, yet remains limited by the modeling assumptions of physics-based methods and the generalization bottlenecks of data-driven approaches. We present ProStab, a deep l...
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CART-GPT: A T Cell-Informed AI Linguistic Framework for Interpreting Neurotoxicity and Therapeutic Outcomes in CAR-T Therapy

bioRxiv Jan 1, 2025
Chimeric antigen receptor (CAR) T cell therapy holds transformative potential for hematologic malignancies, yet predicting patient-specific treatment efficacy and neurotoxicity remains a major clinical challenge due to the complex and heterogeneous n...
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A unified derivative-like dopaminergic computation across valences

bioRxiv Jan 1, 2025
Dopamine activity in the brain affects decision-making and adaptive behaviors. A wealth of studies indicate that dopamine activity encodes discrepancy between actual and predicted reward, leading to the reward prediction error (RPE) hypothesis. Speci...
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Parvalbumin interneurons mediate spontaneous hemodynamic fluctuations

bioRxiv Jan 1, 2025
Resting-state hemodynamic fluctuations are closely linked to gamma-band neural activity, yet the cellular drivers of this neurovascular coupling remain unclear. Given their established contribution in generating gamma oscillations, parvalbumin (PV) i...
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How Occam’s razor guides human decision-making

bioRxiv Jan 1, 2025
Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of this guidance is not known. Here we used preregist...
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