Copertina

Spectral Coherence Index: A Model-Free Metric for Protein Structural Ensemble Quality Assessment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bi, Yuda, Zhang, Huaiwen, Sun, Jingnan, Calhoun, Vince D
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Quantitative Methods Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Improving AlphaFlow for Efficient Protein Ensembles Generation
di: Li, Shaoning, et al.
Pubblicazione: (2024)

Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling
di: Wu, Fang, et al.
Pubblicazione: (2026)

Hashing for Protein Structure Similarity Search
di: Han, Jin, et al.
Pubblicazione: (2024)

DCFold: Efficient Protein Structure Generation with Single Forward Pass
di: Zhang, Zhe, et al.
Pubblicazione: (2026)

Protein Structure Tokenization: Benchmarking and New Recipe
di: Yuan, Xinyu, et al.
Pubblicazione: (2025)

Protein Autoregressive Modeling via Multiscale Structure Generation
di: Qu, Yanru, et al.
Pubblicazione: (2026)

Elucidating the Design Space of Multimodal Protein Language Models
di: Hsieh, Cheng-Yen, et al.
Pubblicazione: (2025)

Limitations of Sequence-Based Protein Representations for Parkinson's Disease Classification: A Leakage-Free Benchmark
di: Núñez-Prado, César Jesús, et al.
Pubblicazione: (2026)

Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions
di: Sun, Rui, et al.
Pubblicazione: (2024)

Training Compute-Optimal Protein Language Models
di: Cheng, Xingyi, et al.
Pubblicazione: (2024)

Protein Structure Tokenization via Geometric Byte Pair Encoding
di: Sun, Michael, et al.
Pubblicazione: (2025)

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

Large Language Model is Secretly a Protein Sequence Optimizer
di: Wang, Yinkai, et al.
Pubblicazione: (2025)

ProteinBench: A Holistic Evaluation of Protein Foundation Models
di: Ye, Fei, et al.
Pubblicazione: (2024)

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

Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
di: Zeinalipour, Kamyar, et al.
Pubblicazione: (2024)

PhaGO: Protein function annotation for bacteriophages by integrating the genomic context
di: Guan, Jiaojiao, et al.
Pubblicazione: (2024)

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

Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models
di: Liang, Po-Yu, et al.
Pubblicazione: (2024)

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

Deep Learning Model for Amyloidogenicity Prediction using a Pre-trained Protein LLM
di: Yagoub, Zohra, et al.
Pubblicazione: (2025)

General Protein Pretraining or Domain-Specific Designs? Benchmarking Protein Modeling on Realistic Applications
di: Yan, Shuo, et al.
Pubblicazione: (2025)

Annotation-guided Protein Design with Multi-Level Domain Alignment
di: Yuan, Chaohao, et al.
Pubblicazione: (2024)

HyboWaveNet: Hyperbolic Graph Neural Networks with Multi-Scale Wavelet Transform for Protein-Protein Interaction Prediction
di: Yu, Qingzhi, et al.
Pubblicazione: (2025)

A Text-guided Protein Design Framework
di: Liu, Shengchao, et al.
Pubblicazione: (2023)

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

Benchmark on Drug Target Interaction Modeling from a Drug Structure Perspective
di: Zhang, Xinnan, et al.
Pubblicazione: (2024)

Fast and Interpretable Protein Substructure Alignment via Optimal Transport
di: Wang, Zhiyu, et al.
Pubblicazione: (2025)

Adaptive Multimodal Protein Plug-and-Play with Diffusion-Based Priors
di: Banerjee, Amartya, et al.
Pubblicazione: (2025)

A Novel Framework for Multi-Modal Protein Representation Learning
di: Zheng, Runjie, et al.
Pubblicazione: (2025)

XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
di: Chakraborty, Pratik, et al.
Pubblicazione: (2025)

ProtTeX-CC: Activating In-Context Learning in Protein LLM via Two-Stage Instruction Compression
di: Fan, Chuanliu, et al.
Pubblicazione: (2025)

Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement
di: Wei, Yuhan, et al.
Pubblicazione: (2026)

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

DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction
di: Liu, Meng, et al.
Pubblicazione: (2024)

A Comprehensive Review of Transformer-based language models for Protein Sequence Analysis and Design
di: Ghosh, Nimisha, et al.
Pubblicazione: (2025)

Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets
di: Khanna, Ashima, et al.
Pubblicazione: (2026)

GAN-TAT: A Novel Framework Using Protein Interaction Networks in Druggable Gene Identification
di: Wang, George Yuanji, et al.
Pubblicazione: (2024)

AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design
di: Rahman, Sahil, et al.
Pubblicazione: (2026)

xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein
di: Chen, Bo, et al.
Pubblicazione: (2024)