AIMC Journal:
bioRxiv

Showing 3091 to 3100 of 4993 articles

Replacement of a single residue in an antibody completely abolishes cognate antigen binding, as predicted by theoretical methods

bioRxiv
Structural insights into the interaction between antibodies and antigens at the atomic level are pivotal for understanding the molecular mechanisms of antigen binding. Despite the availability of structural models generated by recent artificial intel...

Multiscale Probabilistic Modeling: A Bayesian Approach to Augment Mechanistic Models of Cell Signaling with Machine-Learning Predictions of Binding Affinity

bioRxiv
Computational models in systems biology are often underdetermined—that is, there is little data relative to the complexity and size of the model. The lack of data is primarily due to limits in our ability to observe specific biological systems and re...

Cognitive training effects are shaped more by individual brain dynamics than age – Evidence from younger and older women

bioRxiv
Given the well-established structural and functional changes in the aging brain, it is widely assumed that cognitive aging is primarily driven by robust group-level differences between young and older adults. However, our individual-level EEG functio...

High Throughput Information Extraction of Printed Specimen Labels from Large-Scale Digitization of Entomological Collections using a Semi-Automated Pipeline

bioRxiv
Natural history museums curate billions of insect specimens, forming a vast but underutilized resource for biodiversity research. While digitization efforts have increased the availability of high-resolution specimen images, extracting metadata from ...

In vivo Quantification of Neural Criticality and Complexity in Mouse Cortex and Striatum in a Model of Cocaine Abstinence

bioRxiv
Self-organized criticality is a hallmark of complex dynamic systems at phase transitions. Systems that operate at or near criticality have large-scale fluctuations or “avalanches”, the frequency and duration power of which are best fit with a power l...

Beyond associations: A benchmark Causal Relation Extraction Dataset (CRED) of disease-causing genes, its comparative evaluation, interpretation and application

bioRxiv
Information on causal relationships is essential to many sciences, including biomedical science, and beneficial (e.g., causative rather than merely associative gene-disease relations can lead to better treatments). Despite much work on Relation Extra...

Characterization of selective pressures acting on protein sites with Deep Learning

bioRxiv
It is often useful, in the field of molecular evolution, to identify the selective pressures acting on a particular site of a protein to better understand its function. This is typically done with likelihood-based approaches applied to codon sequence...

Acute EtOH enhances septohippocampal coordination but disrupts intrinsic hippocampal theta dynamics during foraging

bioRxiv
Theta oscillations – rhythmic patterns of synchronous activity within discrete brain regions – are known to support memory, navigation, and behavioral coordination, and are sensitive to pharmacological manipulation. Acute ethanol (EtOH) exposure has ...

Multi-Model LLM Architectures for Personalized Summarization and Relevance Ranking in Biomedical Literature

bioRxiv
To develop and evaluate a personalized literature review system that efficiently processes and summarizes biomedical literature to provide timely, relevant insights for researchers. The system integrates ontology-aware keyword extraction (MeSH/ACM co...

CellFuse Enables Multi-modal Integration of Single-cell and Spatial Proteomics data

bioRxiv
Single-cell and spatial proteomic technologies capture complementary biological information, yet no single platform can measure all modalities within the same cell. Most existing integration methods are optimized for transcriptomic data and rely on a...