AIMC Journal:
bioRxiv

Showing 2391 to 2400 of 4979 articles

TOXsiRNA: A web server to predict the toxicity of chemically modified siRNAs

bioRxiv
Small interfering RNAs (siRNAs) are largely modified with chemical molecules to enhance their properties for use in molecular biology research and therapeutic applications. Toxicity effects may arise due to these chemical moieties as well as sequence...

High-Resolution 3D Histology of the Murine Kidney Using Synchrotron X-Ray Micro-CT

bioRxiv
Conventional two-dimensional (2D) histology relies upon destructive sample preparation and stereological estimation, frequently leading to sampling bias and loss of critical spatial context required for understanding renal structure relationships. He...

Noradrenergic neuromodulation produces a NMDAR-dependent network state of respiratory rhythmogenesis in the preBotzinger Complex

bioRxiv
Norepinephrine (NE) is an important mediator of sympathetic activity that influences breathing. At the level of the inspiratory neural network, the preBotzinger complex (preBotC), NE modulation orchestrates changes in neuronal network dynamics that i...

Cortical maps diverge, representations converge along cortical hierarchy

bioRxiv
Brain maps (e.g. retinotopy, somatotopy) vary across individuals. This is thought to reflect underlying computational differences. However, artificial neural networks (ANNs) show that similar performance and internal representations can coexist with ...

Analysis of Age-Specific Dysregulation of miRNAs in Lung Cancer Via Machine learning: Biomarker Identification and Therapeutic Implications in Patients Aged 60 and Above.

bioRxiv
Lung cancer is the leading cause of cancer-related mortality worldwide, predominantly affects older individuals, with non-small cell lung cancer (NSCLC) comprising 85% of cases. Despite advancements in diagnosis and treatment, prognosis for elderly p...

Feature-based in-silico model to predict the Mycobacterium tuberculosis bedaquiline phenotype associated with Rv0678 variants

bioRxiv
Bedaquiline resistance is emerging globally and threatens the effectiveness of the novel short all-oral regimens for rifampicin-resistant tuberculosis. Following a systematic literature review, we quantified 13 sequence, biochemical, and structural f...

Discovery of TDP-43 aggregation inhibitors via a hybrid machine learning framework

bioRxiv
TAR DNA-binding protein 43 (TDP-43) aggregation is a hallmark of several neurodegenerative diseases, including amyotrophic lateral sclerosis and frontotemporal dementia. Recent therapeutic efforts have highlighted the potential of small molecules cap...

Enhancing ML-based binder design with high-throughput screening: a comparison of mRNA and yeast display technologies

bioRxiv
Recent advances in machine learning (ML)-based protein design methods have enabled the rapid in silico generation of large libraries of miniprotein binders with minimal manual input. While computational design capacity has scaled rapidly, experimenta...

Calmodulin controls spatial and temporal specificity of calcium-induced calcium release

bioRxiv
Calcium dynamics controls learning and memory. Changes in calcium-induced calcium release (CICR), which is caused by opening ryanodine receptors (RyR) located on endoplasmic reticulum (ER) membrane, have been implicated in neurodegenerative disorders...

Benchmarking Machine Learning and Automated Image Analysis for Organelle Quantification

bioRxiv
Quantitative organelle analysis is highly sensitive to image-processing choices, limiting reproducibility across microscopy studies. Here, we systematically compare automated, interactive machine learning, and deep learning based pipelines for lipid ...