AIMC Journal:
bioRxiv

Showing 2831 to 2840 of 4993 articles

CpGeneAge: multi-omics aging clocks associated with Nf-κB signaling pathway in aging

bioRxiv
Aging clocks have emerged as the primary tools for measuring biological aging and have been developed for a wide range of single-omic measurements. Epigenetic aging clocks showed high accuracy in age prediction, however, their biological interpretati...

Metagenomic polymorphic toxin effector and immunity profiling predicts microbiome development and disease-related dysbiosis

bioRxiv
Bacteria use antagonistic interbacterial weapons such as polymorphic toxin secretion systems (TSS) to compete for niches in the human gut microbiome. We developed a bioinformatic marker gene approach (PolyProf) to quantify TSS including ∼200 effector...

Bounds on the computational complexity of neurons due to dendritic morphology

bioRxiv
The simple linear threshold units used in many artificial neural networks have a limited computational capacity. Famously, a single unit cannot handle non-linearly separable problems like XOR. In contrast, real neurons exhibit complex morphologies as...

Feedback control of recurrent circuits imposes dynamical constraints on learning

bioRxiv
Neural activity has been observed to lie on low-dimensional manifolds, constraining what behaviors are easier or harder to learn. We propose that beyond this geometric constraint, learning on fast timescales is limited by how neural activity can flow...

Interdisciplinary Study on Drug-Induced-Phospholipidosis of Repurposing Libraries through Machine Learning and Experimental Evaluation in Different Cell Lines

bioRxiv
Phospholipidosis is a cellular condition characterized by the excessive accumulation of phospholipids within cells, that also can be induced by medications—especially those known as cationic amphiphilic drugs. While this phenomenon is not always harm...

STELLA: Self-Evolving LLM Agent for Biomedical Research

bioRxiv
The rapid growth of biomedical data, tools, and literature has created a fragmented research landscape that outpaces human expertise. While AI agents offer a solution, they typically rely on static, manually-curated toolsets, limiting their ability t...

A sublethal drought and rewatering time course reveals intricate patterning of responses in the annual Arabidopsis thaliana

bioRxiv
Drought is a major factor of yield loss in annual crops. It triggers a wide range of physiological and molecular changes which are mediated by a suite of transcription factors from at least four different protein families. In the literature, the obse...

Fold-Conditioned De Novo Binder Design via AlphaFold2-Multimer Hallucination

bioRxiv
De novo protein binder design has been revolutionized by deep learning methods, yet controlling binder topology remains a challenge. We introduce a fold-conditioned AlphaFold2-Multimer hallucination framework – FoldCraft – guided by a contact map sim...

Integrating Load-Cell Lysimetry and Machine Learning for Prediction of Daily Plant Transpiration

bioRxiv
We conducted research to predict daily transpiration in crops by utilizing a combination of machine learning (ML) models combined with extensive transpiration data from gravimetric load cells and ambient sensors. Our aim was to improve the accuracy o...

Neurons have an inherent capability to learn order relations: A theoretical foundation that explains numerous experimental data

bioRxiv
Brains are able to extract diverse relations between objects or concepts, and to integrate relational information into cognitive maps that form a basis for decision making. But is has remained a mystery how relational information is learnt and repres...