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 125 of 79 papers

TitleStatusHype
Galactica: A Large Language Model for ScienceCode4
Robust deep learning based protein sequence design using ProteinMPNNCode3
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsCode2
A Systematic Study of Joint Representation Learning on Protein Sequences and StructuresCode2
Coherent Hierarchical Multi-Label Classification NetworksCode1
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence UnderstandingCode1
Strategies for Pre-training Graph Neural NetworksCode1
MD-HIT: Machine learning for materials property prediction with dataset redundancy controlCode1
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence LearningCode1
Structure-Informed Protein Language ModelCode1
Prot2Text: Multimodal Protein's Function Generation with GNNs and TransformersCode1
OntoProtein: Protein Pretraining With Gene Ontology EmbeddingCode1
ProtBoost: protein function prediction with Py-Boost and Graph Neural Networks -- CAFA5 top2 solutionCode1
Multi-Scale Representation Learning on ProteinsCode1
Endowing Protein Language Models with Structural KnowledgeCode1
Insights Into the Inner Workings of Transformer Models for Protein Function PredictionCode1
Graph Self-supervised Learning with Accurate Discrepancy LearningCode1
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
Biomedical Knowledge Graph Embeddings with Negative StatementsCode0
Ankh: Optimized Protein Language Model Unlocks General-Purpose ModellingCode0
Encoding protein dynamic information in graph representation for functional residue identificationCode0
MSNGO: multi-species protein function annotation based on 3D protein structure and network propagationCode0
Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data SettingCode0
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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