Cover Image

ATTNSOM: Learning Cross-Isoform Attention for Cytochrome P450 Site-of-Metabolism

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Hajung, Lee, Eunha, Chung, Sohyun, Park, Jueon, Baek, Seungheun, Kang, Jaewoo
Format:	Preprint
Published:	2026
Subjects:	Quantitative Methods Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CRADLE-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
by: Baek, Seungheun, et al.
Published: (2024)

ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway
by: Park, Jueon, et al.
Published: (2026)

Use of Continuous Glucose Monitoring with Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes
by: Metwally, Ahmed A., et al.
Published: (2025)

Clinical Characteristics and Laboratory Biomarkers in ICU-admitted Septic Patients with and without Bacteremia
by: Baek, Sangwon, et al.
Published: (2023)

Improving Prediction of Need for Mechanical Ventilation using Cross-Attention
by: Mohanty, Anwesh, et al.
Published: (2024)

Attention-Based Multimodal Survival Prediction with Cross-Modal Bilinear Fusion
by: Keshvarikhojasteh, Hassan, et al.
Published: (2026)

HiRef: Leveraging Hierarchical Ontology and Network Refinement for Robust Medication Recommendation
by: Chok, Yan Ting, et al.
Published: (2025)

Decoupled Sequence and Structure Generation for Realistic Antibody Design
by: Kim, Nayoung, et al.
Published: (2024)

Application of Machine Learning Algorithms in Classifying Postoperative Success in Metabolic Bariatric Surgery: A Comprehensive Study
by: Benítez-Andrades, José Alberto, et al.
Published: (2024)

GraphGDel: Constructing and Learning Graph Representations of Genome-Scale Metabolic Models for Growth-Coupled Gene Deletion Prediction
by: Yang, Ziwei, et al.
Published: (2025)

Dual Triangle Attention: Effective Bidirectional Attention Without Positional Embeddings
by: Hallee, Logan, et al.
Published: (2026)

U-FedTomAtt: Ultra-lightweight Federated Learning with Attention for Tomato Disease Recognition
by: George, Romiyal, et al.
Published: (2026)

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
by: Kim, Minsu, et al.
Published: (2023)

CoTox: Chain-of-Thought-Based Molecular Toxicity Reasoning and Prediction
by: Park, Jueon, et al.
Published: (2025)

Transformer-Based Multi-Modal Temporal Embeddings for Explainable Metabolic Phenotyping in Type 1 Diabetes
by: Khokhar, Pir Bakhsh, et al.
Published: (2026)

MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction
by: Zhang, Yiqing, et al.
Published: (2025)

UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
by: Fan, Jigang, et al.
Published: (2025)

EXAONE Path 2.5: Pathology Foundation Model with Multi-Omics Alignment
by: Yun, Juseung, et al.
Published: (2025)

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
by: Xie, HongXin, et al.
Published: (2025)

Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning
by: Guo, Peijin, et al.
Published: (2025)

Better Models, Faster Training: Sigmoid Attention for single-cell Foundation Models
by: Sadashivaiah, Vijay, et al.
Published: (2026)

Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution
by: Xiong, Jiaqi, et al.
Published: (2024)

Protein Circuit Tracing via Cross-layer Transcoders
by: Tsui, Darin, et al.
Published: (2026)

DPASyn: Mechanism-Aware Drug Synergy Prediction via Dual Attention and Precision-Aware Quantization
by: Nie, Yuxuan, et al.
Published: (2025)

A Framework for Feature Discovery in Intracranial Pressure Monitoring Data Using Neural Network Attention
by: Socha, Jonathan D., et al.
Published: (2026)

Reliable algorithm selection for machine learning-guided design
by: Fannjiang, Clara, et al.
Published: (2025)

Toward Scalable Early Cancer Detection: Evaluating EHR-Based Predictive Models Against Traditional Screening Criteria
by: Park, Jiheum, et al.
Published: (2025)

Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
by: Lee, Minji, et al.
Published: (2024)

XIMP: Cross Graph Inter-Message Passing for Molecular Property Prediction
by: Ehrlich, Anatol, et al.
Published: (2026)

PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking
by: Jiang, Yize, et al.
Published: (2025)

A Fusion-Driven Approach of Attention-Based CNN-BiLSTM for Protein Family Classification -- ProFamNet
by: Ali, Bahar, et al.
Published: (2024)

Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification
by: Krishnakumar, Rajiv, et al.
Published: (2025)

Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
by: Adrian, Matthew, et al.
Published: (2025)

Explainable Deep Learning Framework for SERS Bio-quantification
by: Zaki, Jihan K., et al.
Published: (2024)

MolPLA: A Molecular Pretraining Framework for Learning Cores, R-Groups and their Linker Joints
by: Gim, Mogan, et al.
Published: (2024)

Dual-Pathway Fusion of EHRs and Knowledge Graphs for Predicting Unseen Drug-Drug Interactions
by: Lee, Franklin, et al.
Published: (2025)

PINNet: a deep neural network with pathway prior knowledge for Alzheimer's disease
by: Kim, Yeojin, et al.
Published: (2022)

Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease using Machine Learning Methods: A Retrospective Cohort Study
by: An, Mary E., et al.
Published: (2025)

The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
by: Boyne, Toby, et al.
Published: (2025)

Disentangling History and Propagation Dependencies in Cross-Subject Knee Contact Stress Prediction Using a Shared MeshGraphNet Backbone
by: Pan, Zhengye, et al.
Published: (2026)