Cover Image

Accelerating MHC-II Epitope Discovery via Multi-Scale Prediction in Antigen Presentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wan, Yue, Yuan, Jiayi, Feng, Zhiwei, Jia, Xiaowei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
by: Wang, Zhiwei, et al.
Published: (2024)

Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction
by: Guo, Peijin, et al.
Published: (2025)

ImmSET: Sequence-Based Predictor of TCR-pMHC Specificity at Scale
by: Noceda, Marco Garcia, et al.
Published: (2026)

BeeTLe: An Imbalance-Aware Deep Sequence Model for Linear B-Cell Epitope Prediction and Classification with Logit-Adjusted Losses
by: Yuan, Xiao
Published: (2023)

Accelerated Discovery of Cryoprotectant Cocktails via Multi-Objective Bayesian Optimization
by: Emerson, Daniel, et al.
Published: (2026)

Multi-channel learning for integrating structural hierarchies into context-dependent molecular representation
by: Wan, Yue, et al.
Published: (2023)

MC-NN: An End-to-End Multi-Channel Neural Network Approach for Predicting Influenza A Virus Hosts and Antigenic Types
by: Xu, Yanhua, et al.
Published: (2023)

TCR-EML: Explainable Model Layers for TCR-pMHC Prediction
by: Li, Jiarui, et al.
Published: (2025)

Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction
by: Guo, Jinjiang
Published: (2026)

Multi-scale Graph Autoregressive Modeling: Molecular Property Prediction via Next Token Prediction
by: Jiang, Zhuoyang, et al.
Published: (2026)

Foundation Models for Environmental Science: A Survey of Emerging Frontiers
by: Yu, Runlong, et al.
Published: (2025)

Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
by: Lan, Chaowang, et al.
Published: (2025)

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
by: Wu, Lirong, et al.
Published: (2024)

MKDTI: Predicting drug-target interactions via multiple kernel fusion on graph attention network
by: Zhou, Yuhuan, et al.
Published: (2024)

Towards Discovery of Polymers for Insulin Delivery via Physics-Grounded Agentic Workflows
by: Otun, Martins
Published: (2026)

Predicting Emergency Department Visits for Patients with Type II Diabetes
by: Alizadeh, Javad M, et al.
Published: (2024)

Enhancing Drug Discovery: Autoencoder-Based Latent Space Augmentation for Improved Molecular Solubility Prediction using LatMixSol
by: Hasankhani, Mohammad Saleh
Published: (2025)

Agentic Discovery of Cryomicroneedle Formulations
by: Li, Hao, et al.
Published: (2026)

Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task
by: Jian, Yiren, et al.
Published: (2023)

Llama-Affinity: A Predictive Antibody Antigen Binding Model Integrating Antibody Sequences with Llama3 Backbone Architecture
by: Hossain, Delower, et al.
Published: (2025)

Predicting and generating antibiotics against future pathogens with ApexOracle
by: Leng, Tianang, et al.
Published: (2025)

A Morse Transform for Drug Discovery
by: Tanaka, Alexander M., et al.
Published: (2025)

Recent Developments in GNNs for Drug Discovery
by: Fang, Zhengyu, et al.
Published: (2025)

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

Holistic Bioprocess Development Across Scales Using Multi-Fidelity Batch Bayesian Optimization
by: Martens, Adrian, et al.
Published: (2025)

Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
by: Li, Zhengyi, et al.
Published: (2024)

Data-driven Discovery of Digital Twins in Biomedical Research
by: Métayer, Clémence, et al.
Published: (2025)

Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease
by: Khalid, Maryam, et al.
Published: (2024)

Evaluating Molecule Synthesizability via Retrosynthetic Planning and Reaction Prediction
by: Liu, Songtao, 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)

MS-ConTab: Multi-Scale Contrastive Learning of Mutation Signatures for Pan Cancer Representation and Stratification
by: Dou, Yifan, et al.
Published: (2025)

Data-Dependent Smoothing for Protein Discovery with Walk-Jump Sampling
by: Anumasa, Srinivas, et al.
Published: (2025)

Multimodal Machine Learning for Early Prediction of Metastasis in a Swedish Multi-Cancer Cohort
by: Rugolon, Franco, et al.
Published: (2026)

SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
by: Xu, Bohao, et al.
Published: (2024)

ImmunoAI: Accelerated Antibody Discovery Using Gradient-Boosted Machine Learning with Thermodynamic-Hydrodynamic Descriptors and 3D Geometric Interface Topology
by: Shivakumar, Shawnak, et al.
Published: (2025)

Revolutionizing Personalized Cancer Vaccines with NEO: Novel Epitope Optimization Using an Aggregated Feed Forward and Recurrent Neural Network with LSTM Architecture
by: Basava, Nishanth
Published: (2024)

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths
by: Wang, Yueyang, et al.
Published: (2025)

M$^{3}$-20M: A Large-Scale Multi-Modal Molecule Dataset for AI-driven Drug Design and Discovery
by: Guo, Siyuan, et al.
Published: (2024)

Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug Discovery
by: Cropsal, Télio, et al.
Published: (2025)

Unleashing the power of computational insights in revealing the complexity of biological systems in the new era of spatial multi-omics
by: Fan, Zhiwei, et al.
Published: (2025)