AIMC Journal:
bioRxiv

Showing 2121 to 2130 of 4956 articles

Relation Extraction for Diet, Non-Communicable Disease and Biomarker Associations (RECoDe): A CoDiet study

bioRxiv
Diet plays a critical role in human health, with growing evidence linking dietary habits to disease outcomes. However, extracting structured dietary knowledge from biomedical literature remains challenging due to the lack of dedicated relation extrac...

Deep Learning Enabled 3D Multi-Omic Analysis Reveals Molecular Signatures of Heterogeneous Response to Chemotherapy in Pancreatic Cancer

bioRxiv
Resistance to systemic therapy is a major unmet challenge in pancreatic cancer. To identify potential mechanisms of resistance, we developed a novel 3D pipeline in clinical samples that uses deep learning to classify sensitive and persistent tumor ce...

RePaRank: An Efficient Architecture for Antibody-Antigen Interface Prediction by Proximity Ranking

bioRxiv
The prediction of protein-protein interactions is central to structural biology, yet leading models are often computationally expensive, creating an accessibility gap for many high-throughput applications. Furthermore, common evaluation metrics such ...

Investigating Effects of Outcome Controllability and Error Attribution on Proactive Attentional Control: Insights from EEG and Cognitive Modelling

bioRxiv
Sense of agency (SoA), the experience of controlling one's actions and their consequences, is crucial for self-representation and adaptive goal-directed behavior. Classic comparator models explain SoA as the match between predicted and actual sensori...

A Quantum Lens on Molecular Design: A Machine-Learned Energy Function from Interacting Quantum Atoms.

bioRxiv
Accurate predictions of the interactions (covalent bonds and non-covalent contacts between atoms) in a molecular system require scalable, accurate, and interpretable energy functions. While classical force fields and knowledge-based energy functions ...

Confidence Without Verification: Screening pLDDT Unreliability in AlphaFold2 Fold-Switching Predictions

bioRxiv
AlphaFold2 (AF2) has transformed structural biology, yet its confidence metrics, particularly the predicted Local Distance Difference Test (pLDDT) and predicted Template Modelling score (pTM), systematically fail for fold-switching proteins, which ad...

Predicting how perturbations reshape cellular trajectories with PerturbGen

bioRxiv
A major challenge in biology is predicting how cells transition between states over time and how perturbations disrupt these transitions. Understanding such dynamics is critical for identifying interventions that reverse pathological programs or repr...

Massive-scale single-nucleus multi-omics identifies novel rare noncoding drivers of Parkinson's disease

bioRxiv
Most genetic variants contributing to complex diseases reside in the noncoding genome. While common variants uncovered by genome-wide association studies often fail to explain much of the observed heritability of these diseases, rare variants often h...

Tabular foundation model predicts alternative lengthening of telomeres (ALT) and identifies SMARCAL1 as a target in ALT-driven cancers

bioRxiv
Alternative lengthening of telomeres (ALT) is a telomerase-independent pathway used by aggressive cancers to maintain their replicative immortality. Because ALT is absent from normal human cells, it is an appealing target for cancer therapy, but the ...

MORPHE: Bridging Image Generation and Spatial Omics for Tissue Synthesis

bioRxiv
Spatially resolved omics technologies reveal tissue organization at single-cell resolution but remain limited by the cost of the assays, incomplete spatial coverage, 2D-only imaging, and experimental artifacts. These factors motivate the need for \te...