Cover Image

Compact Artificial Neural Network Models for Predicting Protein Residue -- RNA Base Binding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Selitskiy, Stanislav
Format:	Preprint
Published:	2025
Subjects:	Biomolecules Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings
by: Hanke, Josef, et al.
Published: (2026)

CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
by: Han, Rong, et al.
Published: (2024)

Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins
by: Quadir, A., et al.
Published: (2024)

Co-Evolution-Based Metal-Binding Residue Prediction with Graph Neural Networks
by: Rastegari, Sayedmohammadreza, et al.
Published: (2025)

Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction
by: Jeong, Seon-Geun, et al.
Published: (2025)

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
by: Zhang, Yang, et al.
Published: (2023)

DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction
by: Zhang, Yupu, et al.
Published: (2025)

ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions
by: Halfon, Matan, et al.
Published: (2024)

ResCap-DBP: A Lightweight Residual-Capsule Network for Accurate DNA-Binding Protein Prediction Using Global ProteinBERT Embeddings
by: Shuvo, Samiul Based, et al.
Published: (2025)

TerraBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations
by: Rossi, Matteo, et al.
Published: (2026)

Open-Source Protein Language Models for Function Prediction and Protein Design
by: Pandi, Shivasankaran Vanaja, et al.
Published: (2024)

DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
by: Lin, Haitao, et al.
Published: (2022)

Binding-Adaptive Diffusion Models for Structure-Based Drug Design
by: Huang, Zhilin, et al.
Published: (2024)

Towards Faster and More Compact Foundation Models for Molecular Property Prediction
by: Ghunaim, Yasir, et al.
Published: (2025)

VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
by: Sestak, Florian, et al.
Published: (2024)

Investigating Knowledge Distillation Through Neural Networks for Protein Binding Affinity Prediction
by: Abbasi, Wajid Arshad, et al.
Published: (2026)

Insights Into the Inner Workings of Transformer Models for Protein Function Prediction
by: Wenzel, Markus, et al.
Published: (2023)

Modeling Dabrafenib Response Using Multi-Omics Modality Fusion and Protein Network Embeddings Based on Graph Convolutional Networks
by: Aman, La Ode, et al.
Published: (2025)

FABind: Fast and Accurate Protein-Ligand Binding
by: Pei, Qizhi, et al.
Published: (2023)

Interpretable Enzyme Function Prediction via Residue-Level Detection
by: Yang, Zhao, et al.
Published: (2025)

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
by: Yu, Ziyang, et al.
Published: (2024)

Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent
by: Kim, Taehan, et al.
Published: (2026)

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
by: Wu, Lirong, et al.
Published: (2024)

Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics
by: Tang, Haocheng, et al.
Published: (2026)

Hierarchical Multi-Label Contrastive Learning for Protein-Protein Interaction Prediction Across Organisms
by: Liu, Shiyi, et al.
Published: (2025)

Deep Learning for Protein Complex Prediction and Design
by: Xie, Ziwei
Published: (2026)

DISPROTBENCH: Uncovering the Functional Limits of Protein Structure Prediction Models in Intrinsically Disordered Regions
by: Zeng, Xinyue, et al.
Published: (2025)

Multi-Scale Representation Learning for Protein Fitness Prediction
by: Zhang, Zuobai, et al.
Published: (2024)

Beyond Simple Concatenation: Fairly Assessing PLM Architectures for Multi-Chain Protein-Protein Interactions Prediction
by: Alsamkary, Hazem, et al.
Published: (2025)

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
by: Lin, Haitao, et al.
Published: (2024)

RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks
by: Penić, Rafael Josip, et al.
Published: (2024)

Flow-Based Fragment Identification via Binding Site-Specific Latent Representations
by: Neeser, Rebecca Manuela, et al.
Published: (2025)

Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation
by: Guo, Jinjiang, et al.
Published: (2022)

Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins
by: Dreyer, Frédéric A., et al.
Published: (2025)

Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding
by: Zhong, Zhiqiang, et al.
Published: (2024)

QuickBind: A Light-Weight And Interpretable Molecular Docking Model
by: Treyde, Wojtek, et al.
Published: (2024)

SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction
by: Choi, Seungyeon, et al.
Published: (2024)

Steering Protein Language Models
by: Huang, Long-Kai, et al.
Published: (2025)

Weak Relation Enforcement for Kinematic-Informed Long-Term Stock Prediction with Artificial Neural Networks
by: Selitskiy, Stanislav
Published: (2025)

Protein-Mamba: Biological Mamba Models for Protein Function Prediction
by: Xu, Bohao, et al.
Published: (2024)