SOTAVerified

Protein Function Prediction

For GO terms prediction, given the specific function prediction instruction and a protein sequence, models characterize the protein functions using the GO terms presented in three different domains (cellular component, biological process, and molecular function).

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–79 of 79 papers

TitleStatusHype
An Effective GCN-based Hierarchical Multi-label classification for Protein Function Prediction—0
Application of three graph Laplacian based semi-supervised learning methods to protein function prediction problem—0
A Review of Deep Learning Techniques for Protein Function Prediction—0
Auto-clustering Output Layer: Automatic Learning of Latent Annotations in Neural Networks—0
Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion—0
Combining graph and sequence information to learn protein representations—0
Computational Protein Science in the Era of Large Language Models (LLMs)—0
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views—0
Contrastive Representation Learning for 3D Protein Structures—0
DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction—0
Deep Recurrent Neural Network for Protein Function Prediction from Sequence—0
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences—0
Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs—0
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction—0
Hashing for Protein Structure Similarity Search—0
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning—0
Hierachial Protein Function Prediction with Tails-GNNs—0
Hierarchical Multi-Label Classification Networks—0
Hypergraph and protein function prediction with gene expression data—0
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction—0
Into the Unknown: From Structure to Disorder in Protein Function Prediction—0
Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction—0
λ-Scaled-Attention: A Novel Fast Attention Mechanism for Efficient Modeling of Protein Sequences—0
Multi-task Deep Neural Networks in Automated Protein Function Prediction—0
Multitask Protein Function Prediction Through Task Dissimilarity—0
PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction—0
Positive and Unlabeled Learning through Negative Selection and Imbalance-aware Classification—0
ProLanGO: Protein Function Prediction Using Neural~Machine Translation Based on a Recurrent Neural Network—0
ProtCLIP: Function-Informed Protein Multi-Modal Learning—0
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All datasetsCASPSimSeqPaenSeqUniProtSeq

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GAL 120BROUGE-L0.25—Unverified
2GAL 30BROUGE-L0.14—Unverified
3GAL 6.7BROUGE-L0.11—Unverified
4GAL 1.3BROUGE-L0.07—Unverified
5GAL 125MROUGE-L0.06—Unverified
#ModelMetricClaimedVerifiedStatus
1GAL 120BROUGE-L0.27—Unverified
2GAL 30BROUGE-L0.2—Unverified
3GAL 6.7BROUGE-L0.14—Unverified
4GAL 1.3BROUGE-L0.08—Unverified
5GAL 125MROUGE-L0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1GAL 120BROUGE-L0.25—Unverified
2GAL 30BROUGE-L0.19—Unverified
3GAL 6.7BROUGE-L0.11—Unverified
4GAL 1.3BROUGE-L0.08—Unverified
5GAL 125MROUGE-L0.06—Unverified