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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 79 papers

TitleStatusHype
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction—0
ProtCLIP: Function-Informed Protein Multi-Modal Learning—0
Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data SettingCode0
SCOP: A Sequence-Structure Contrast-Aware Framework for Protein Function PredictionCode0
Hashing for Protein Structure Similarity Search—0
Protein-Mamba: Biological Mamba Models for Protein Function Prediction—0
ProteinRPN: Towards Accurate Protein Function Prediction with Graph-Based Region Proposals—0
Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion—0
A Vectorization Method Induced By Maximal Margin Classification For Persistent Diagrams—0
Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs—0
ProtFAD: Introducing function-aware domains as implicit modality towards protein function predictionCode0
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering—0
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning—0
Advances of Deep Learning in Protein Science: A Comprehensive Survey—0
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction—0
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction—0
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views—0
Biomedical Knowledge Graph Embeddings with Negative StatementsCode0
DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction—0
Self-supervised Learning and Graph Classification under Heterophily—0
Linear-scaling kernels for protein sequences and small molecules outperform deep learning while providing uncertainty quantitation and improved interpretabilityCode0
Ankh: Optimized Protein Language Model Unlocks General-Purpose ModellingCode0
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning—0
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational DataCode0
A Review of Deep Learning Techniques for Protein Function Prediction—0
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All datasetsCASPSimSeqPaenSeqUniProtSeq

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GAL 120BROUGE-L0.25—Unverified
2GAL 30BROUGE-L0.14—Unverified
3GAL 6.7BROUGE-L0.11—Unverified
4GAL 1.3BROUGE-L0.07—Unverified
5GAL 125MROUGE-L0.06—Unverified
#ModelMetricClaimedVerifiedStatus
1GAL 120BROUGE-L0.27—Unverified
2GAL 30BROUGE-L0.2—Unverified
3GAL 6.7BROUGE-L0.14—Unverified
4GAL 1.3BROUGE-L0.08—Unverified
5GAL 125MROUGE-L0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1GAL 120BROUGE-L0.25—Unverified
2GAL 30BROUGE-L0.19—Unverified
3GAL 6.7BROUGE-L0.11—Unverified
4GAL 1.3BROUGE-L0.08—Unverified
5GAL 125MROUGE-L0.06—Unverified