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
Endowing Protein Language Models with Structural KnowledgeCode1
Coherent Hierarchical Multi-Label Classification NetworksCode1
ProtBoost: protein function prediction with Py-Boost and Graph Neural Networks -- CAFA5 top2 solutionCode1
MD-HIT: Machine learning for materials property prediction with dataset redundancy controlCode1
Graph Self-supervised Learning with Accurate Discrepancy LearningCode1
Strategies for Pre-training Graph Neural NetworksCode1
Insights Into the Inner Workings of Transformer Models for Protein Function PredictionCode1
Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variantCode1
Computational Protein Science in the Era of Large Language Models (LLMs)0
Combining graph and sequence information to learn protein representations0
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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