Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Cheng, Gao, Zhangyang, Cao, Hanqun, Chen, Xingran, Wang, Ge, Wu, Lirong, Xia, Jun, Zheng, Jiangbin, Li, Stan Z. |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advances of Deep Learning in Protein Science: A Comprehensive Survey
by: Hu, Bozhen, et al.
Published: (2024)
by: Hu, Bozhen, et al.
Published: (2024)
MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
by: Tan, Cheng, et al.
Published: (2024)
by: Tan, Cheng, et al.
Published: (2024)
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer
by: Tan, Cheng, et al.
Published: (2023)
by: Tan, Cheng, et al.
Published: (2023)
Graph-level Protein Representation Learning by Structure Knowledge Refinement
by: Wang, Ge, et al.
Published: (2024)
by: Wang, Ge, et al.
Published: (2024)
Multimodal Regression for Enzyme Turnover Rates Prediction
by: Hu, Bozhen, et al.
Published: (2025)
by: Hu, Bozhen, et al.
Published: (2025)
FoldToken2: Learning compact, invariant and generative protein structure language
by: Gao, Zhangyang, et al.
Published: (2024)
by: Gao, Zhangyang, et al.
Published: (2024)
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
by: Wu, Lirong, et al.
Published: (2024)
by: Wu, Lirong, et al.
Published: (2024)
FoldToken: Learning Protein Language via Vector Quantization and Beyond
by: Gao, Zhangyang, et al.
Published: (2024)
by: Gao, Zhangyang, et al.
Published: (2024)
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
by: Tan, Cheng, et al.
Published: (2023)
by: Tan, Cheng, et al.
Published: (2023)
AlphaFold Database Debiasing for Robust Inverse Folding
by: Tan, Cheng, et al.
Published: (2025)
by: Tan, Cheng, et al.
Published: (2025)
CCPL: Cross-modal Contrastive Protein Learning
by: Zheng, Jiangbin, et al.
Published: (2023)
by: Zheng, Jiangbin, et al.
Published: (2023)
CA-DEL: An Open Multi-Target, Multi-Modal Benchmark for Learning from DNA-Encoded Library Screens
by: He, Mutian, et al.
Published: (2026)
by: He, Mutian, et al.
Published: (2026)
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
by: Huang, Yufei, et al.
Published: (2024)
by: Huang, Yufei, et al.
Published: (2024)
RiboPO: Preference Optimization for Structure- and Stability-Aware RNA Design
by: Sun, Minghao, et al.
Published: (2025)
by: Sun, Minghao, et al.
Published: (2025)
MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign
by: Zheng, Jiangbin, et al.
Published: (2024)
by: Zheng, Jiangbin, et al.
Published: (2024)
Methods for Secondary and Tertiary Structure Prediction of Microproteins
by: Facelli, Julio C.
Published: (2025)
by: Facelli, Julio C.
Published: (2025)
CONFIDE: Hallucination Assessment for Reliable Biomolecular Structure Prediction and Design
by: Gao, Zijun, et al.
Published: (2025)
by: Gao, Zijun, et al.
Published: (2025)
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
by: Wu, Lirong, et al.
Published: (2024)
by: Wu, Lirong, et al.
Published: (2024)
Deep Manifold Transformation for Protein Representation Learning
by: Hu, Bozhen, et al.
Published: (2024)
by: Hu, Bozhen, et al.
Published: (2024)
PPFlow: Target-aware Peptide Design with Torsional Flow Matching
by: Lin, Haitao, et al.
Published: (2024)
by: Lin, Haitao, et al.
Published: (2024)
Rethinking Performance Measures of RNA Secondary Structure Problems
by: Runge, Frederic, et al.
Published: (2023)
by: Runge, Frederic, et al.
Published: (2023)
PFMBench: Protein Foundation Model Benchmark
by: Gao, Zhangyang, et al.
Published: (2025)
by: Gao, Zhangyang, et al.
Published: (2025)
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions
by: Sun, Rui, et al.
Published: (2024)
by: Sun, Rui, et al.
Published: (2024)
RNA Secondary Structure Prediction Using Transformer-Based Deep Learning Models
by: Zhou, Yanlin, et al.
Published: (2024)
by: Zhou, Yanlin, et al.
Published: (2024)
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
by: Lin, Haitao, et al.
Published: (2023)
by: Lin, Haitao, et al.
Published: (2023)
Machine Learning for RNA Secondary Structure Prediction: a review of current methods and challenges
by: Sacco, Giuseppe, et al.
Published: (2025)
by: Sacco, Giuseppe, et al.
Published: (2025)
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
by: Lin, Haitao, et al.
Published: (2024)
by: Lin, Haitao, et al.
Published: (2024)
Single-Sequence-Based Protein Secondary Structure Prediction using One-Hot and Chemical Encodings of Amino Acids
by: Trinh, Hoa, et al.
Published: (2024)
by: Trinh, Hoa, et al.
Published: (2024)
Bi-TEAM: A Unified Cross-Scale Representation Learning Framework for Chemically Modified Biomolecules
by: Gu, Chunbin, et al.
Published: (2026)
by: Gu, Chunbin, et al.
Published: (2026)
RNACG: A Universal RNA Sequence Conditional Generation model based on Flow-Matching
by: Gao, Letian, et al.
Published: (2024)
by: Gao, Letian, et al.
Published: (2024)
Undesignable RNA Structure Identification via Rival Structure Generation and Structure Decomposition
by: Zhou, Tianshuo, et al.
Published: (2023)
by: Zhou, Tianshuo, et al.
Published: (2023)
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
by: Nori, Divya, et al.
Published: (2024)
by: Nori, Divya, et al.
Published: (2024)
A Comprehensive System for Secondary Structure Analysis of Protein Models
by: Kannan, Vedh
Published: (2024)
by: Kannan, Vedh
Published: (2024)
RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
by: Ma, Runze, et al.
Published: (2025)
by: Ma, Runze, et al.
Published: (2025)
ProtScan: Modeling and Prediction of RNA-Protein Interactions
by: Corrado, Gianluca, et al.
Published: (2024)
by: Corrado, Gianluca, et al.
Published: (2024)
TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
by: Cao, Hanqun, et al.
Published: (2026)
by: Cao, Hanqun, et al.
Published: (2026)
ProS2Vi: a Python Tool for Visualizing Proteins Secondary Structure
by: Qasim, Luckman, et al.
Published: (2024)
by: Qasim, Luckman, et al.
Published: (2024)
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
by: Lin, Haitao, et al.
Published: (2022)
by: Lin, Haitao, et al.
Published: (2022)
Joint Design of 5' Untranslated Region and Coding Sequence of mRNA
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
RiboDiffusion: Tertiary Structure-based RNA Inverse Folding with Generative Diffusion Models
by: Huang, Han, et al.
Published: (2024)
by: Huang, Han, et al.
Published: (2024)
Similar Items
-
Advances of Deep Learning in Protein Science: A Comprehensive Survey
by: Hu, Bozhen, et al.
Published: (2024) -
MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
by: Tan, Cheng, et al.
Published: (2024) -
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer
by: Tan, Cheng, et al.
Published: (2023) -
Graph-level Protein Representation Learning by Structure Knowledge Refinement
by: Wang, Ge, et al.
Published: (2024) -
Multimodal Regression for Enzyme Turnover Rates Prediction
by: Hu, Bozhen, et al.
Published: (2025)