Cover Image

RNA-Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Danyu, Huang, Rubing, Cui, Chenhui, Towey, Dave, Zhou, Ling, Tian, Jinyu, Zou, Bin
Format:	Preprint
Published:	2024
Subjects:	Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey
by: Dong, Qi, et al.
Published: (2024)

STELLAR-koff: A Transfer Learning Model for Protein-Ligand Dissociation Rate Constant Prediction Based on Interaction Landscape
by: Li, Jingyuan
Published: (2025)

Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
by: Gao, Ziqi, et al.
Published: (2026)

Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
by: Wu, Lirong, et al.
Published: (2024)

Leveraging Machine Learning Models for Peptide-Protein Interaction Prediction
by: Yin, Song, et al.
Published: (2023)

TemPL: A Novel Deep Learning Model for Zero-Shot Prediction of Protein Stability and Activity Based on Temperature-Guided Language Modeling
by: Tan, Pan, et al.
Published: (2023)

3plex Web: An Interactive Platform for RNA:DNA Triplex Prediction and Analysis
by: Masera, Marco, et al.
Published: (2025)

Detection of circular permutations by Protein Language Models
by: Hu, Yue, et al.
Published: (2024)

ProtT-Affinity: Sequence-Based Protein-Protein Binding Affinity Prediction Using ProtT5 Embeddings
by: Lou, Hongfu
Published: (2025)

Transformers in Protein: A Survey
by: Ling, Xiaowen, et al.
Published: (2025)

ProteinRPN: Towards Accurate Protein Function Prediction with Graph-Based Region Proposals
by: Mitra, Shania, et al.
Published: (2024)

The Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design
by: Armer, Chase, et al.
Published: (2023)

ProtSolM: Protein Solubility Prediction with Multi-modal Features
by: Tan, Yang, et al.
Published: (2024)

HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction
by: Liu, Bin, et al.
Published: (2024)

Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions
by: Ferri, Francesco, et al.
Published: (2024)

Domain-Aware Geometric Multimodal Learning for Multi-Domain Protein-Ligand Affinity Prediction
by: Zhang, Shuo, et al.
Published: (2026)

Requirements-Based Test Generation: A Comprehensive Survey
by: Yang, Zhenzhen, et al.
Published: (2025)

EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions
by: Nguyen, Ngoc-Quang
Published: (2025)

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)

Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
by: Vefghi, Ali, et al.
Published: (2025)

Twin Peaks: Dual-Head Architecture for Structure-Free Prediction of Protein-Protein Binding Affinity and Mutation Effects
by: Dey, Supantha, et al.
Published: (2025)

Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models
by: Yazdani-Jahromi, Mehdi, et al.
Published: (2025)

SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction Prediction
by: Chen, Yigang, et al.
Published: (2025)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
by: Xie, Jiaqing, et al.
Published: (2024)

CAP: Commutative Algebra Prediction of Protein-Nucleic Acid Binding Affinities
by: Zia, Mushal, et al.
Published: (2025)

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

Simultaneously Infer Cell Pseudotime,Velocity Field and Gene Interaction from Multi-Branch scRNA-seq Data with scPN
by: Zhou, Zhen, et al.
Published: (2024)

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning
by: Lin, Haitao, et al.
Published: (2025)

Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients
by: Si, Yong, et al.
Published: (2025)

BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
by: Ren, Yuchen, et al.
Published: (2024)

Deep Learning Framework for RNA Inverse Folding with Geometric Structure Potentials
by: Yao, Annabelle
Published: (2025)

Zero-Shot Learning with Subsequence Reordering Pretraining for Compound-Protein Interaction
by: Zhang, Hongzhi, et al.
Published: (2025)

Mapping Differential Protein-Protein Interaction Networks using Affinity Purification Mass Spectrometry
by: Kaushal, Prashant, et al.
Published: (2024)

MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation
by: Li, Shuqi, et al.
Published: (2024)

HelixVS: Deep Learning-Enhanced Structure-Based Platform for Screening and Design
by: Zhang, Shanzhuo, et al.
Published: (2025)

Deep Learning for Blood-Brain Barrier Permeability Prediction: From Discriminative Models to Mechanism-Aware Design
by: Yang, Zihan, et al.
Published: (2025)

PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
by: Bal, Rakesh, et al.
Published: (2023)

CompassDock: Comprehensive Accurate Assessment Approach for Deep Learning-Based Molecular Docking in Inference and Fine-Tuning
by: Sarigun, Ahmet, et al.
Published: (2024)

Novel Methods for Analyzing Cellular Interactions in Deep Learning-Based Image Cytometry: Spatial Interaction Potential and Co-Localization Index
by: Nagasaka, Toru, et al.
Published: (2024)

FoldSAE: Learning to Steer Protein Folding Through Sparse Representations
by: Zarzecki, Wojciech, et al.
Published: (2025)