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 1120 of 79 papers

TitleStatusHype
Prot2Text: Multimodal Protein's Function Generation with GNNs and TransformersCode1
Coherent Hierarchical Multi-Label Classification NetworksCode1
Multi-Scale Representation Learning on ProteinsCode1
Endowing Protein Language Models with Structural KnowledgeCode1
OntoProtein: Protein Pretraining With Gene Ontology EmbeddingCode1
Strategies for Pre-training Graph Neural NetworksCode1
MD-HIT: Machine learning for materials property prediction with dataset redundancy controlCode1
Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variantCode1
AFDP: An Automated Function Description Prediction Approach to Improve Accuracy of Protein Function PredictionsCode0
AnnoDPO: Protein Functional Annotation Learning with Direct Preference OptimizationCode0
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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