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 5160 of 79 papers

TitleStatusHype
Random Embeddings and Linear Regression can Predict Protein Function0
Regularization and Kernelization of the Maximin Correlation Approach0
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning0
Self-supervised Learning and Graph Classification under Heterophily0
SMISS: A protein function prediction server by integrating multiple sources0
STELLA: Towards Protein Function Prediction with Multimodal LLMs Integrating Sequence-Structure Representations0
Using Ontologies To Improve Performance In Massively Multi-label Prediction0
A Vectorization Method Induced By Maximal Margin Classification For Persistent Diagrams0
Multi-task Deep Neural Networks in Automated Protein Function Prediction0
Multitask Protein Function Prediction Through Task Dissimilarity0
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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