AIMC Journal:
bioRxiv

Showing 2981 to 2990 of 4993 articles

Compatibility of a competition model for explaining eye fixation durations during free viewing

bioRxiv
Intersaccadic times or eye fixation durations (EFD) are relatively stable at around 250ms, equivalent to 4 saccades by second. However, the mean and standard deviation are not sufficient to describe the frequency histogram distribution of EFD. The ex...

Emergent Neuronal Mechanisms Mediating Covert Attention in Convolutional Neural Networks

bioRxiv
Covert visual attention allows the brain to select different regions of the visual world without eye movements. Predictive cues of a target location orient covert attention and improve perceptual performance. In most computational models, researchers...

CpGPT: a Foundation Model for DNA Methylation

bioRxiv
DNA methylation is a type of epigenetic modification that plays a significant role in development, aging, and disease. Despite extensive research into the molecular mechanisms of DNA methylation, they remain poorly understood today. Foundation models...

DeepPROTECTNeo: A Deep learning-based Personalized and RV-guided Optimization tool leveraging TCR Epitope interaction using Context-aware Transformers

bioRxiv
The development of personalized cancer vaccines relies heavily on accurately identifying neoepitopes capable of eliciting strong immune responses. T cell receptor (TCR)-epitope interactions are fundamental to cancer immunotherapy. Despite significant...

AutoGaitA: A versatile quantitative framework for kinematic analyses across species, perturbations and behaviours

bioRxiv
Individual behaviours require the nervous system to execute specialised motor programs, each characterised by unique patterns of coordinated movements across body parts. Deep learning approaches for body-posture tracking have facilitated the analysis...

DiffPIE: Guiding Deep Generative Models to Explore Protein Conformations under External Interactions

bioRxiv
In recent years, many foundation generative models have been developed to pre-dict structures of molecules and materials. Although these foundation models have achieved great success, it is challenging to collect enough data to train foundation gener...

Multimodal learning decodes the global binding landscape of chromatin-associated proteins

bioRxiv
Chromatin-associated proteins (CAPs), including over 1,600 transcription factors, bind directly or indirectly to the genomic DNA to regulate gene expression and determine a myriad of cell types. Mapping their genome-wide binding and co-binding landsc...

Colorectal cancer heterogeneity co-evolves with tumor architecture to determine disease outcome

bioRxiv
Intratumoral heterogeneity, originating from genetic, epigenetic, and phenotypic cellular diversity, is pervasive in cancer. As these heterogeneous states employ diverse mechanisms to promote tumor progression, metastasis, and therapy resistance, eme...

Calcium Binding Affinity in the Mutational Landscape of Troponin-C: Free Energy Calculation, Coevolution Modeling and Machine Learning

bioRxiv
Mutation in calcium-binding proteins (CBPs) can significantly influence Ca2+ binding affinity (BA), resulting in substantial impairment in the signaling process and leading to several lethal diseases. The knowledge behind the changes in the binding a...

Human protein interactome structure prediction at scale with Boltz-2

bioRxiv
In humans, protein-protein interactions mediate numerous biological processes and are central to both normal physiology and disease. Extensive research efforts have aimed to elucidate the human protein interactome, and comprehensive databases now cat...