Copertina

RIGA-Fold: A General Framework for Protein Inverse Folding via Recurrent Interaction and Geometric Awareness

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yuan, Sisi, Chen, Jiehuang, Cai, Junchuang, Xu, Dong, Li, Xueliang, Zhu, Zexuan, Ji, Junkai
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Rethinking Drug-Drug Interaction Modeling as Generalizable Relation Learning
di: Xu, Dong, et al.
Pubblicazione: (2026)

Protein Inverse Folding From Structure Feedback
di: Xu, Junde, et al.
Pubblicazione: (2025)

Unveiling Scaling Behaviors in Molecular Language Models: Effects of Model Size, Data, and Representation
di: Xu, Dong, et al.
Pubblicazione: (2026)

From Tokens to Blocks: A Block-Diffusion Perspective on Molecular Generation
di: Yang, Qianwei, et al.
Pubblicazione: (2026)

BioLM-Score: Language-Prior Conditioned Probabilistic Geometric Potentials for Protein-Ligand Scoring
di: Yang, Zhangfan, et al.
Pubblicazione: (2026)

Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
di: Zhu, Yiheng, et al.
Pubblicazione: (2024)

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

Refold: Refining Protein Inverse Folding with Efficient Structural Matching and Fusion
di: Zhu, Yiran, et al.
Pubblicazione: (2026)

Diffusion Model with Representation Alignment for Protein Inverse Folding
di: Wang, Chenglin, et al.
Pubblicazione: (2024)

AlphaFold Database Debiasing for Robust Inverse Folding
di: Tan, Cheng, et al.
Pubblicazione: (2025)

MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular Generation
di: Xu, Dong, et al.
Pubblicazione: (2025)

Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion
di: Xu, Dong, et al.
Pubblicazione: (2025)

SimpleFold: Folding Proteins is Simpler than You Think
di: Wang, Yuyang, et al.
Pubblicazione: (2025)

Property-driven Protein Inverse Folding With Multi-Objective Preference Alignment
di: Hou, Xiaoyang, et al.
Pubblicazione: (2026)

UniIF: Unified Molecule Inverse Folding
di: Gao, Zhangyang, et al.
Pubblicazione: (2024)

Mechanisms of AI Protein Folding in ESMFold
di: Lu, Kevin, et al.
Pubblicazione: (2026)

ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search
di: Liu, Mengdi, et al.
Pubblicazione: (2025)

FoldMark: Protecting Protein Generative Models with Watermarking
di: Zhang, Zaixi, et al.
Pubblicazione: (2024)

Protein Fold Classification at Scale: Benchmarking and Pretraining
di: Chen, Dexiong, et al.
Pubblicazione: (2026)

IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data
di: Xu, Dong, et al.
Pubblicazione: (2025)

AlphaFold Meets Flow Matching for Generating Protein Ensembles
di: Jing, Bowen, et al.
Pubblicazione: (2024)

Lattice Protein Folding with Variational Annealing
di: Khandoker, Shoummo Ahsan, et al.
Pubblicazione: (2025)

Toward Closed-loop Molecular Discovery via Language Model, Property Alignment and Strategic Search
di: Ji, Junkai, et al.
Pubblicazione: (2025)

EnerBridge-DPO: Energy-Guided Protein Inverse Folding with Markov Bridges and Direct Preference Optimization
di: Rong, Dingyi, et al.
Pubblicazione: (2025)

PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
di: Mahbub, Sazan, et al.
Pubblicazione: (2025)

FoldToken: Learning Protein Language via Vector Quantization and Beyond
di: Gao, Zhangyang, et al.
Pubblicazione: (2024)

Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions
di: Jiao, Xiaoran, et al.
Pubblicazione: (2024)

CodonMPNN for Organism Specific and Codon Optimal Inverse Folding
di: Stark, Hannes, et al.
Pubblicazione: (2024)

RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
di: Nori, Divya, et al.
Pubblicazione: (2024)

Protein Folding with Neural Ordinary Differential Equations
di: Sanford, Arielle, et al.
Pubblicazione: (2025)

AlphaFolding: 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance
di: Cheng, Kaihui, et al.
Pubblicazione: (2024)

Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization
di: Park, Ryan, et al.
Pubblicazione: (2024)

Progressive Multi-Modality Learning for Inverse Protein Folding
di: Zheng, Jiangbin, et al.
Pubblicazione: (2023)

α-HMM: A Graphical Model for RNA Folding
di: Zhang, Sixiang, et al.
Pubblicazione: (2024)

AF2-Mutation: Adversarial Sequence Mutations against AlphaFold2 on Protein Tertiary Structure Prediction
di: Yuan, Zhongju, et al.
Pubblicazione: (2023)

U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents
di: Su, Jin, et al.
Pubblicazione: (2026)

ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours
di: Zhu, Feiwen, et al.
Pubblicazione: (2024)

FoldAct: Efficient and Stable Context Folding for Long-Horizon Search Agents
di: Shao, Jiaqi, et al.
Pubblicazione: (2025)

Lightweight MSA Design Advances Protein Folding From Evolutionary Embeddings
di: Cao, Hanqun, et al.
Pubblicazione: (2025)

KV-Fold: One-Step KV-Cache Recurrence for Long-Context Inference
di: Nadali, Alireza, et al.
Pubblicazione: (2026)