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SOTA
Protein Secondary Structure Prediction
Protein Secondary Structure Prediction On 1
Protein Secondary Structure Prediction On 1
评估指标
Q3
Q8
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Q3
Q8
Paper Title
Repository
ProtT5-XL-UniRef50
0.86
0.74
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
ProtT5-XL-BFD
0.84
0.71
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Porter5
-
0.74
Deeper Profiles and Cascaded Recurrent and Convolutional Neural Networks for state-of-the-art Protein Secondary Structure Prediction
LucaAngioloni-WindowCNN
-
0.684
Protein secondary structure prediction using deep convolutional neural fields
Advanced ACNN
-
0.733
-
-
ACNN
-
0.697
Protein secondary structure prediction using deep convolutional neural fields
PS4-Mega
0.868
0.763
PS4: a Next-Generation Dataset for Protein Single Sequence Secondary Structure Prediction
PS4-Conv
0.863
0.756
PS4: a Next-Generation Dataset for Protein Single Sequence Secondary Structure Prediction
ProtBert-BFD
0.83
0.7
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
DistilProtBert
0.79
-
DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterparts
0 of 10 row(s) selected.
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