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Protein Secondary Structure Prediction

Protein secondary structure prediction is a vital task in bioinformatics, aiming to determine the arrangement of amino acids in proteins, including α-helices, β-sheets, and coils. By analyzing amino acid sequences, computational algorithms and machine learning techniques predict these structural elements. This knowledge is crucial for understanding protein function and interactions. While progress has been made, challenges remain, especially with non-local interactions and low sequence homology. Advancements in machine learning hold promise for improving prediction accuracy, furthering our understanding of protein biology.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–26 of 26 papers

TitleStatusHype
ProteinBERT: a universal deep-learning model of protein sequence and functionCode2
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance ComputingCode2
PS4: a Next-Generation Dataset for Protein Single Sequence Secondary Structure PredictionCode1
ProteinNet: a standardized data set for machine learning of protein structureCode1
DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterpartsCode1
Convolutional ProteinUnetLM competitive with long short-term memory-based protein secondary structure predictorsCode0
Deeper Profiles and Cascaded Recurrent and Convolutional Neural Networks for state-of-the-art Protein Secondary Structure PredictionCode0
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure PredictionCode0
Porter 5: fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classesCode0
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural NetworksCode0
DLPAlign: A Deep Learning based Progressive Alignment Method for Multiple Protein SequencesCode0
Protein secondary structure prediction using deep convolutional neural fieldsCode0
High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network ArchitecturesCode0
Single-Sequence-Based Protein Secondary Structure Prediction using One-Hot and Chemical Encodings of Amino Acids—0
Approximate Conditional Coverage & Calibration via Neural Model Approximations—0
A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration—0
MUFold-SS: Protein Secondary Structure Prediction Using Deep Inception-Inside-Inception Networks—0
Neural Edit Operations for Biological Sequences—0
Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction—0
Predicting protein secondary structure with Neural Machine Translation—0
Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning—0
Protein Secondary Structure Prediction with Long Short Term Memory Networks—0
PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure—0
Reaching Optimized Parameter Set, Protein Secondary Structure Prediction Using Neural Network—0
Seq-SetNet: Exploring Sequence Sets for Inferring Structures—0
Adaptive Residue-wise Profile Fusion for Low Homologous Protein SecondaryStructure Prediction Using External Knowledge—0
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All datasetsCB513CASP12TS115PS42017_test set2019_test setCullPDBJpred4 blind set

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DistilProtBertQ30.79—Unverified
2PS4-MegaQ80.76—Unverified
3PS4-ConvQ80.76—Unverified
4Porter5Q80.74—Unverified
5ProtT5-XL-UniRef50Q80.74—Unverified
6Advanced ACNNQ80.73—Unverified
7ProtT5-XL-BFDQ80.71—Unverified
8ProtBert-BFDQ80.7—Unverified
9ACNNQ80.7—Unverified
10LucaAngioloni-WindowCNNQ80.68—Unverified
#ModelMetricClaimedVerifiedStatus
1ProtT5-XL-UniRef50Q30.81—Unverified
2ProtT5-XL-BFDQ30.77—Unverified
3ProtBert-BFDQ30.76—Unverified
4DistilProtBertQ30.72—Unverified
#ModelMetricClaimedVerifiedStatus
1ProtT5-XL-UniRef50Q30.87—Unverified
2ProtT5-XL-BFDQ30.85—Unverified
3ProtBert-BFDQ30.84—Unverified
4DistilProtBertQ30.81—Unverified
#ModelMetricClaimedVerifiedStatus
1PS4-MegaQ80.78—Unverified
2PS4-ConvQ80.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Porter5Q384.19—Unverified
#ModelMetricClaimedVerifiedStatus
1Porter5Q381.74—Unverified
#ModelMetricClaimedVerifiedStatus
1LucaAngioloni-WindowCNNQ80.72—Unverified
#ModelMetricClaimedVerifiedStatus
1Porter5Accuracy84.62—Unverified