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

Showing 3140 of 79 papers

TitleStatusHype
Application of three graph Laplacian based semi-supervised learning methods to protein function prediction problem0
A Review of Deep Learning Techniques for Protein Function Prediction0
Auto-clustering Output Layer: Automatic Learning of Latent Annotations in Neural Networks0
Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion0
Combining graph and sequence information to learn protein representations0
Computational Protein Science in the Era of Large Language Models (LLMs)0
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views0
Contrastive Representation Learning for 3D Protein Structures0
DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction0
Deep Recurrent Neural Network for Protein Function Prediction from Sequence0
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Benchmark Results

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