AIMC Journal:
bioRxiv

Showing 2661 to 2670 of 4979 articles

TCRAD: An End-to-End Framework for Antigen-Targeted T Cell Receptor Design

bioRxiv Jan 23, 2026
Understanding and engineering T-cell receptor (TCR) specificity is central to personalized immunotherapy and antigen discovery. However, while antigen-conditioned TCR design approaches have begun to emerge, most frameworks still focus on scoring cand...
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Predicting Gene Mutations in Colon Cancer Using Long-Term Temporal Dependency Learning on a Directed Co-Occurrence Asymmetry Graph

bioRxiv Jan 23, 2026
Accurate prediction of mutational dependencies to model tumor evolution can improve our understanding of cancer progression and is crucial for early diagnosis and interventions. This is especially true in colorectal tumorigenesis which often follows ...
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When Less Is Enough: Low-Rank Structure in DNA Sequence-to-Function Models

bioRxiv Jan 23, 2026
Motivation: The rapid success of deep learning sequence-to-function (S2F) models has driven a trend toward ever larger architectures for regulatory genomics. While these models achieve meaningful predictive performance, their growing size and computa...
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Ensemble Machine Learning Approaches Predict Survival in Lower-Grade Glioma Based on Glycosphingolipid Gene Expression and Metabolic Modelling

bioRxiv Jan 23, 2026
Glycosphingolipids (GSLs) are essential components of biological membranes with important roles in cell signalling. Disrupted GSL metabolism is associated with malignancy across a range of cancers, with different GSLs implicated in distinct tumours. ...
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Beyond the Focus of Expansion: Retinal curl as a functional signal for heading estimation

bioRxiv Jan 23, 2026
Prevailing models aiming at explaining heading assume that humans need to recover the Focus of Expansion (FOE) while filtering out rotational flow (curl) caused by eye movements. We propose an alternative: the visual system utilizes retinal curl dire...
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PartiNet is a dynamic adaptive neural network for high-performance particle picking in cryo-electron microscopy

bioRxiv Jan 23, 2026
Accurate, efficient and autonomous particle picking is a major bottleneck in high-resolution cryo-electron microscopy (cryo-EM). We introduce PartiNet, an Artificial Intelligence (AI)-based particle picker with size-agnostic detection and pre-trained...
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Steering Conformational Sampling in Boltz-2 via Pair Representation Scaling

bioRxiv Jan 23, 2026
Deep learning has transformed protein structure prediction; however, most systems predominantly return a single dominant conformation with limited control over alternative states. We introduce Boltz-sample as a systematic steering strategy for Boltz-...
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AI-Based Methods for Cryptic Pocket Detection Are Fast and Qualitative Compared to Quantitatively Predictive Simulations

bioRxiv Jan 23, 2026
Artificial intelligence (AI) models have advanced rapidly, driving breakthroughs in protein structure prediction, functional annotation, and conformational exploration. Among these, molecular dynamics (MD)-inspired generative models such as AlphaFlow...
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Biophysically realistic network-level transport model of tau progression with exosome-mediated release and uptake processes

bioRxiv Jan 23, 2026
The spatiotemporal progression of tau aggregates in neurodegenerative diseases like Alzheimer's follows the brain's structural connectome, yet a profound gap exists between the slow macroscopic spread observed over years and the rapid protein kinetic...
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AlphaGenome -enabled analysis of non-coding regulatory variants underlying RHD Expression

bioRxiv Jan 23, 2026
Systematic identification of functional non-coding regulatory variants remains a major challenge in human genetics. Conventional approaches such as large-scale CRISPR screening and genome-wide association studies (GWAS) are powerful but often prohibi...
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