Cover Image

Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jian, Yiren, Gao, Chongyang, Zeng, Chen, Zhao, Yunjie, Vosoughi, Soroush
Format:	Preprint
Published:	2023
Subjects:	Quantitative Methods Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

RNA-Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey
by: Li, Danyu, et al.
Published: (2024)

Scaling and Data Saturation in Protein Language Models
by: Spinner, Aviv, et al.
Published: (2025)

Leveraging Retrieval-Augmented Generation and Large Language Models to Predict SERCA-Binding Protein Fragments from Cardiac Proteomics Data
by: Phillips, Taylor A, et al.
Published: (2025)

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

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

Beyond the Clinic: A Large-Scale Evaluation of Augmenting EHR with Wearable Data for Diverse Health Prediction
by: Wang, Will Ke, et al.
Published: (2025)

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

Evaluating Deep Surrogate Models for Knee Joint Contact Mechanics Under Input-Limited Conditions
by: Pan, Zhengye, et al.
Published: (2026)

Leveraging Protein Language Model Embeddings for Catalytic Turnover Prediction of Adenylate Kinase Orthologs in a Low-Data Regime
by: Muir, Duncan F., et al.
Published: (2025)

How Well Do Large-Scale Chemical Language Models Transfer to Downstream Tasks?
by: Sagawa, Tatsuya, et al.
Published: (2026)

GNN-Based Deep Surrogate Modeling of Knee Contact Mechanics: Generalizing Neuromuscular Control Patterns Across Subjects
by: Pan, Zhengye, et al.
Published: (2025)

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

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

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

Large-Scale Knowledge Integration for Enhanced Molecular Property Prediction
by: Ghunaim, Yasir, et al.
Published: (2024)

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

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

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

3plex Web: An Interactive Platform for RNA:DNA Triplex Prediction and Analysis
by: Masera, Marco, 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)

SeqProFT: Sequence-only Protein Property Prediction with LoRA Finetuning
by: Zhang, Shuo, et al.
Published: (2024)

Better Protein Function Prediction by Modeling Survivorship Bias
by: Chao, Zhongmou, et al.
Published: (2026)

AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering
by: Liu, Yungeng, et al.
Published: (2024)

Non-Contact and Non-Destructive Detection of Structural Defects in Bioprinted Constructs Using Video-Based Vibration Analysis
by: Rahman, Md Anisur, et al.
Published: (2025)

LAMP-PRo: Label-aware Attention for Multi-label Prediction of DNA- and RNA-binding Proteins using Protein Language Models
by: Ghosh, Nimisha, et al.
Published: (2025)

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)

SynCell: Contextualized Drug Synergy Prediction
by: Peng, Keqin, et al.
Published: (2025)

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

Predicting T-Cell Receptor Specificity
by: Tu, Tengyao, et al.
Published: (2024)

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

HyperADRs: A Hierarchical Hypergraph Framework for Drug-Gene-ADR Prediction
by: Cai, Ze, et al.
Published: (2025)

Predicting Protein-Nucleic Acid Flexibility Using Persistent Sheaf Laplacians
by: Hayes, Nicole, et al.
Published: (2025)

Prot2Token: A Unified Framework for Protein Modeling via Next-Token Prediction
by: Pourmirzaei, Mahdi, et al.
Published: (2025)

Driving Accurate Allergen Prediction with Protein Language Models and Generalization-Focused Evaluation
by: Wong, Brian Shing-Hei, et al.
Published: (2025)

Substrate Prediction for RiPP Biosynthetic Enzymes via Masked Language Modeling and Transfer Learning
by: Clark, Joseph D., et al.
Published: (2024)

Characterizing Long-Range Dependencies in Knee Joint Contact Mechanics: A Comparison of Topology Diffusion, Global Routing, and Hybrid Graph Neural Networks
by: Pan, Zhengye, et al.
Published: (2026)

siDPT: siRNA Efficacy Prediction via Debiased Preference-Pair Transformer
by: Zhang, Honggen, et al.
Published: (2025)

RNA-KG v2.0: An RNA-centered Knowledge Graph with Properties
by: Cavalleri, Emanuele, et al.
Published: (2025)

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