Cover Image

Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data Setting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ünsal, Serbülent, Özdemir, Sinem, Kasap, Bünyamin, Kalaycı, M. Erşan, Turhan, Kemal, Doğan, Tunca, Acar, Aybar C.
Format:	Preprint
Published:	2024
Subjects:	Biomolecules Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Into the Unknown: From Structure to Disorder in Protein Function Prediction
by: Kolarić, Đesika, et al.
Published: (2025)

Frequency-Space Mechanics: A Sequence and Coordinate-Free Representation for Protein Function Prediction
by: Reilly, Charles B
Published: (2026)

DeepFRI Demystified: Interpretability vs. Accuracy in AI Protein Function Prediction
by: Krishna, Ananya, et al.
Published: (2025)

SCOP: A Sequence-Structure Contrast-Aware Framework for Protein Function Prediction
by: Ma, Runze, et al.
Published: (2024)

Atom-level Protein Representation Learning Improves Protein Structure Prediction
by: Kim, Taewon, et al.
Published: (2026)

SeedProteo: Accurate De Novo All-Atom Design of Protein Binders
by: Qu, Wei, et al.
Published: (2025)

Multi-Scale Representation Learning for Protein Fitness Prediction
by: Zhang, Zuobai, et al.
Published: (2024)

Open-Source Protein Language Models for Function Prediction and Protein Design
by: Pandi, Shivasankaran Vanaja, et al.
Published: (2024)

Diffusion Sequence Models for Enhanced Protein Representation and Generation
by: Hallee, Logan, et al.
Published: (2025)

BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction
by: Wang, Xin, et al.
Published: (2025)

Probing the Dark Energy in the Functional Protein Universe
by: Galpern, Ezequiel A., et al.
Published: (2025)

TerraBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations
by: Rossi, Matteo, et al.
Published: (2026)

An Energy-Adaptive Elastic Equivariant Transformer Framework for Protein Structure Representation
by: Zhang, Zhongyue, et al.
Published: (2025)

PLD-Tree: Persistent Laplacian Decision Tree for Protein-Protein Binding Free Energy Prediction
by: Xu, Xingjian, et al.
Published: (2024)

A New Route for the Determination of Protein Structure and Function
by: Mejias, S. H., et al.
Published: (2024)

Atomic Density Distributions in Proteins: Structural and Functional Implications
by: Touliopoulos, Sotirios, et al.
Published: (2025)

Insights Into the Inner Workings of Transformer Models for Protein Function Prediction
by: Wenzel, Markus, et al.
Published: (2023)

Learning Protein Structure-Function Relationships through Knowledge-guided Representation Decomposition
by: Wang, Mingqing, et al.
Published: (2026)

ProtScan: Modeling and Prediction of RNA-Protein Interactions
by: Corrado, Gianluca, et al.
Published: (2024)

Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship
by: Ko, Eunji, et al.
Published: (2024)

BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature
by: Yan, Jiaxian, et al.
Published: (2026)

Leveraging Sequence Purification for Accurate Prediction of Multiple Conformational States with AlphaFold2
by: Xing, Enming, et al.
Published: (2025)

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

PyMOLfold: Interactive Protein and Ligand Structure Prediction in PyMOL
by: Ford, Colby T., et al.
Published: (2025)

Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins
by: Quadir, A., et al.
Published: (2024)

DCI: An Accurate Quality Assessment Criteria for Protein Complex Structure Models
by: Wang, Wenda, et al.
Published: (2024)

DISPROTBENCH: Uncovering the Functional Limits of Protein Structure Prediction Models in Intrinsically Disordered Regions
by: Zeng, Xinyue, et al.
Published: (2025)

DeepRLI: A Multi-objective Framework for Universal Protein--Ligand Interaction Prediction
by: Lin, Haoyu, et al.
Published: (2024)

Hermes: Large DEL Datasets Train Generalizable Protein-Ligand Binding Prediction Models
by: Kleinsasser, Maxwell, et al.
Published: (2026)

STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding
by: Xiao, Hongwang, et al.
Published: (2025)

Deep Manifold Transformation for Protein Representation Learning
by: Hu, Bozhen, et al.
Published: (2024)

IDP-Bert: Predicting Properties of Intrinsically Disordered Proteins (IDP) Using Large Language Models
by: Mollaei, Parisa, et al.
Published: (2024)

CCPL: Cross-modal Contrastive Protein Learning
by: Zheng, Jiangbin, et al.
Published: (2023)

Mimicking the Gas-Phase to Transport Odorants through the Nasal Mucus: Functional Insights into Odorant Binding Proteins
by: Paesani, Massimiliano, et al.
Published: (2024)

Persistent Directed Flag Laplacian (PDFL)-Based Machine Learning for Protein-Ligand Binding Affinity Prediction
by: Zia, Mushal, et al.
Published: (2024)

FABind: Fast and Accurate Protein-Ligand Binding
by: Pei, Qizhi, et al.
Published: (2023)

STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
by: Akça, Mehmet Efe, et al.
Published: (2025)

AtomSurf : Surface Representation for Learning on Protein Structures
by: Mallet, Vincent, et al.
Published: (2023)

Learning Hierarchical Interaction for Accurate Molecular Property Prediction
by: Hong, Huiyang, et al.
Published: (2025)

Protein FID: Improved Evaluation of Protein Structure Generative Models
by: Faltings, Felix, et al.
Published: (2025)