AIMC Journal:
bioRxiv

Showing 2461 to 2470 of 4979 articles

seq2ribo: Structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences

bioRxiv Feb 9, 2026
Motivation: Ribosome dynamics are vital in the process of protein expression. Current methods rely on ribosome profiling (Ribo-seq), RNA-seq profiles, and full genomic context. This restricts their use in de novo sequence design, like messenger RNA (...
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Predicting Obstetric and Non-obstetric Diagnoses Co-occurrences during Pregnancy

bioRxiv Feb 9, 2026
Pregnancy care often involves simultaneous obstetric and other medical conditions, but their co-occurrence patterns are rarely modeled explicitly in a systematic, network-based approach. In this work, we formulate obstetric and non-obstetric diagnose...
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UniFacePoint-FM: A Foundation Model for Generalizable 3D Facial Representation Learning and Multi-Attribute Prediction

bioRxiv Feb 9, 2026
The human face is a rich medium for biometric, behavioral, and clinical information. However, 2D facial images based technologies lack critical geometric details and are susceptible to pose and illumination interference, while 3D facial deep learning...
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HiCInterpolate: 4D Spatiotemporal Interpolation of Hi-C Data for Genome Architecture Analysis.

bioRxiv Feb 9, 2026
Motivation: Studying the three-dimensional (3D) structure of a genome, including chromatin loops and Topologically Associating Domains (TADs), is essential for understanding how the genome is organized, such as gene activation, cell development, prot...
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Assessing extracellular vesicle proteins as predictive biomarkers for developing type 1 diabetes

bioRxiv Feb 9, 2026
Plasma extracellular vesicles (EVs) are considered excellent sources for biomarker discovery since they carry signatures of their cellular origin and disease processes. In this paper, we evaluate the potential of plasma EV proteomics analysis for ide...
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A Large-Scale Cryo-EM RNA Motif Dataset and Benchmark for Machine Learning-Based Structure Modeling

bioRxiv Feb 9, 2026
Motivation: RNA molecules play critical roles in gene regulation, viral replication, and cellular control, with their functions tightly coupled to three-dimensional structure. Advances in cryogenic electron microscopy (cryo-EM) now enable RNA structu...
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Balancing Stability and Flow in Hippocampal Networks via Inductive Bias and Learned Symmetry Breaking

bioRxiv Feb 9, 2026
The hippocampus must balance stable memory representations with internally generated sequential dynamics underlying replay, prediction and traveling waves. How hippocampal circuitry achieves both remains unclear. Here, we show that recurrent neural n...
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EpiExpr: Predicting gene expression using epigenetic data and chromatin interactions

bioRxiv Feb 9, 2026
Decoding gene expression from epigenomic landscapes remains a fundamental challenge in genomics. We introduce EpiExpr, a flexible deep learning framework that predicts gene expression from 1D epigenetic tracks (EpiExpr-1D) and integrates 3D chromatin...
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ToxMCP: Guardrailed, Auditable Agentic Workflows for Computational Toxicology via the Model Context Protocol

bioRxiv Feb 9, 2026
Computational toxicology increasingly relies on evidence, high-throughput screening, predictive (Q)SAR, adverse outcome pathways (AOPs), physiologically based kinetic (PBK/PBPK) models, and exposure databases to support integrated approaches to testi...
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Deep learning enables quantitative subcellular analysis of plant-microbe interfaces

bioRxiv Feb 8, 2026
Specialized host-microbe interfaces are central to cellular interactions in plants. Intracellular structures such as haustoria formed by filamentous pathogens mediate nutrient exchange and effector delivery to host cells. Despite their biological imp...
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