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 51–75 of 79 papers

TitleStatusHype
λ-Scaled-Attention: A Novel Fast Attention Mechanism for Efficient Modeling of Protein Sequences—0
Encoding protein dynamic information in graph representation for functional residue identificationCode0
An Effective GCN-based Hierarchical Multi-label classification for Protein Function Prediction—0
Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction—0
Random Embeddings and Linear Regression can Predict Protein Function—0
Structure-Enhanced Meta-Learning For Few-Shot Graph ClassificationCode0
PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction—0
Coherent Hierarchical Multi-Label Classification NetworksCode1
Hierachial Protein Function Prediction with Tails-GNNs—0
AFDP: An Automated Function Description Prediction Approach to Improve Accuracy of Protein Function PredictionsCode0
Combining graph and sequence information to learn protein representations—0
Graph Embedding on Biomedical Networks: Methods, Applications, and EvaluationsCode0
Strategies for Pre-training Graph Neural NetworksCode1
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models—0
Using Ontologies To Improve Performance In Massively Multi-label Prediction—0
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences—0
Hierarchical Multi-Label Classification Networks—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
Multi-task Deep Neural Networks in Automated Protein Function Prediction—0
Auto-clustering Output Layer: Automatic Learning of Latent Annotations in Neural Networks—0
Deep Recurrent Neural Network for Protein Function Prediction from Sequence—0
Multitask Protein Function Prediction Through Task Dissimilarity—0
SMISS: A protein function prediction server by integrating multiple sources—0
ProtNN: Fast and Accurate Nearest Neighbor Protein Function Prediction based on Graph Embedding in Structural and Topological Space—0
Show:102550
← PrevPage 3 of 4Next →
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