Imagen de Portada

Classifying Metamorphic versus Single-Fold Proteins with Statistical Learning and AlphaFold2

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Yongkai, Wong, Samuel WK, Kou, SC
Formato:	Preprint
Publicado:	2025
Materias:	Applications Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

Not Yet AlphaFold for the Mind: Evaluating Centaur as a Synthetic Participant
por: Namazova, Sabrina, et al.
Publicado: (2025)

Inception of AlphaFold 3: Shining light from structure prediction to de novo design of biomolecules
por: Sihui Zhang, et al.
Publicado: (2024)

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

The Role of AI in Facilitating Interdisciplinary Collaboration: Evidence from AlphaFold
por: Zhao, Naixuan, et al.
Publicado: (2025)

AlphaFold-Predicted Protein Structures
por: Klotz, Sabrina
Publicado: (2025)

APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics
por: Park, Hyun, et al.
Publicado: (2023)

AlphaFold1
por: Roesch, Karl
Publicado: (2026)

dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen
por: Tan, Cheng, et al.
Publicado: (2025)

The Phenix‐AlphaFold webservice: Enabling AlphaFold predictions for use in Phenix
por: Billy K. Poon, et al.
Publicado: (2024)

Assessing scoring metrics for AlphaFold2 and AlphaFold3 protein complex predictions
por: Luca R. Genz, et al.
Publicado: (2025)

Improving AlphaFold2 ‐ and AlphaFold3 ‐Based Protein Complex Structure Prediction With MULTICOM4 in CASP16
por: Jian Liu, et al.
Publicado: (2025)

Empowering AlphaFold2 for protein conformation selective drug discovery with AlphaFold2-RAVE
por: Gu, Xinyu, et al.
Publicado: (2024)

An Unfolding Story: AlphaFold's View on Protein Flexibility
por: Gunnar Jeschke
Publicado: (2026)

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

Performance Evaluation of Large Language Models in Statistical Programming
por: Song, Xinyi, et al.
Publicado: (2025)

A Statistical Theory of Regularization-Based Continual Learning
por: Zhao, Xuyang, et al.
Publicado: (2024)

Applications of Knot Theory for the Improvement of the AlphaFold Protein Database
por: Jahagirdar, Pranshu
Publicado: (2024)

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

ChatGPT and post-test probability
por: Weisenthal, Samuel J.
Publicado: (2023)

StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis
por: Song, Xinyi, et al.
Publicado: (2025)

HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation Statistics
por: Luettgau, Lennart, et al.
Publicado: (2025)

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

Revolutionizing structural biology: AI-driven protein structure prediction from AlphaFold to next-generation innovations.
por: Thangamalai, Mowna Sundari, et al.
Publicado: (2025)

AlphaFold's Bayesian Roots in Probability Kinematics
por: Hamelryck, Thomas, et al.
Publicado: (2025)

Inverse problems with experiment-guided AlphaFold
por: Maddipatla, Advaith, et al.
Publicado: (2025)

AlphaFold two years on: validation and impact
por: Kovalevskiy, Oleg, et al.
Publicado: (2024)

AlphaFold Kinase Optimizer: Enhancing Virtual Screening Performance Through Automated Refinement of AlphaFold ‐Based Kinase Structures
por: Sergei Evteev, et al.
Publicado: (2025)

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

The Advancement of Personalized Learning Potentially Accelerated by Generative AI
por: Wei, Yuang, et al.
Publicado: (2024)

Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement
por: Sielinski, Ronald
Publicado: (2026)

Observing the unobserved confounding through its effects: toward randomized trial-like estimates from real-world survival data
por: Stoumpou, Vasiliki, et al.
Publicado: (2026)

AlphaFold2 ‐Guided Cyclic Peptide Stabilizer Design to Target Protein–Protein Interactions
por: Niklas Halbwedl, et al.
Publicado: (2026)

GENEOnet: Statistical analysis supporting explainability and trustworthiness
por: Bocchi, Giovanni, et al.
Publicado: (2025)

AI for Handball: predicting and explaining the 2024 Olympic Games tournament with Deep Learning and Large Language Models
por: Felice, Florian
Publicado: (2024)

Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation
por: Zarkadis, Iakovos-Christos, et al.
Publicado: (2026)

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis
por: Jantre, Sanket, et al.
Publicado: (2025)

Characterizing the Conformational States of G Protein Coupled Receptors Generated with AlphaFold
por: Chib, Garima, et al.
Publicado: (2025)

Structural Biology of RNA and Protein‐RNA Complexes after AlphaFold3
por: Janosch Hennig
Publicado: (2025)