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 7179 of 79 papers

TitleStatusHype
Into the Unknown: From Structure to Disorder in Protein Function Prediction0
Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction0
λ-Scaled-Attention: A Novel Fast Attention Mechanism for Efficient Modeling of Protein Sequences0
Multi-task Deep Neural Networks in Automated Protein Function Prediction0
Multitask Protein Function Prediction Through Task Dissimilarity0
PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction0
Positive and Unlabeled Learning through Negative Selection and Imbalance-aware Classification0
ProLanGO: Protein Function Prediction Using Neural~Machine Translation Based on a Recurrent Neural Network0
ProtCLIP: Function-Informed Protein Multi-Modal Learning0
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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