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 6170 of 79 papers

TitleStatusHype
AFDP: An Automated Function Description Prediction Approach to Improve Accuracy of Protein Function PredictionsCode0
Combining graph and sequence information to learn protein representations0
Graph Embedding on Biomedical Networks: Methods, Applications, and EvaluationsCode0
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models0
Using Ontologies To Improve Performance In Massively Multi-label Prediction0
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences0
Hierarchical Multi-Label Classification Networks0
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
Multi-task Deep Neural Networks in Automated Protein Function Prediction0
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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