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pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model

BMC bioinformatics, 2023-02, Vol.24 (1), p.41-41, Article 41

2023

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Improving protein succinylation sites prediction using embeddings from protein language model

Scientific reports, 2022-10, Vol.12 (1), p.16933-16933, Article 16933

2022

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Einstein-Roscoe regression for the slag viscosity prediction problem in steelmaking

Scientific reports, 2022-04, Vol.12 (1), p.6541-6541, Article 6541

2022

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DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction

BMC bioinformatics, 2020-04, Vol.21 (Suppl 3), p.63-63, Article 63

2020

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DFT-aided machine learning-based discovery of magnetism in Fe-based bimetallic chalcogenides

Scientific reports, 2023-02, Vol.13 (1), p.3277-3277, Article 3277

2023

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DeepNGlyPred: A Deep Neural Network-Based Approach for Human N-Linked Glycosylation Site Prediction

Molecules (Basel, Switzerland), 2021-12, Vol.26 (23), p.7314

2021

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Deep Learning-Based Advances in Protein Structure Prediction

International journal of molecular sciences, 2021-05, Vol.22 (11), p.5553

2021

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Experimental Study: Deep Learning-Based Fall Monitoring among Older Adults with Skin-Wearable Electronics

Sensors (Basel, Switzerland), 2023-04, Vol.23 (8), p.3983

2023

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A deep learning based approach for prediction of Chlamydomonas reinhardtii phosphorylation sites

Scientific reports, 2021-06, Vol.11 (1), p.12550-12550, Article 12550

2021

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Deep Learning-Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2499, p.285

2022

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SVM-SulfoSite: A support vector machine based predictor for sulfenylation sites

Scientific reports, 2018-07, Vol.8 (1), p.11288-9, Article 11288

2018

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Comparison of Machine Learning and Deep Learning Models for Network Intrusion Detection Systems

Future internet, 2020-10, Vol.12 (10), p.167

2020

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CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes

BMC bioinformatics, 2017-12, Vol.18 (Suppl 16), p.577-577, Article 577

2017

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Integrating Embeddings from Multiple Protein Language Models to Improve Protein O-GlcNAc Site Prediction

International journal of molecular sciences, 2023-11, Vol.24 (21), p.16000

2023

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LMCrot: an enhanced protein crotonylation site predictor by leveraging an interpretable window-level embedding from a transformer-based protein language model

Bioinformatics (Oxford, England), 2024-05, Vol.40 (5)

2024

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RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest

BioMed research international, 2016-01, Vol.2016, p.3281590-12

2016

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Hydrogen peroxide-dependent oxidation of ERK2 within its D-recruitment site alters its substrate selection

iScience, 2023-10, Vol.26 (10), p.107817, Article 107817

2023

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Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction

BMC bioinformatics, 2022-08, Vol.23 (1), p.1-349, Article 349

2022

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DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation Sites

Frontiers in cell and developmental biology, 2021-06, Vol.9, p.662983-662983

2021

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The PFP and ESG protein function prediction methods in 2014: effect of database updates and ensemble approaches

Gigascience, 2015-09, Vol.4 (1), p.43, Article 43

2015

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Recent advances in sequence-based protein structure prediction

Briefings in bioinformatics, 2017-11, Vol.18 (6), p.1021-1032

KC, Dukka B

2017

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FEPS: A Tool for Feature Extraction from Protein Sequence

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2499, p.65

2022

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The evolution of logic circuits for the purpose of protein contact map prediction

PeerJ (San Francisco, CA), 2017-04, Vol.5, p.e3139-e3139, Article e3139

2017

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GPU-I-TASSER: a GPU accelerated I-TASSER protein structure prediction tool

Bioinformatics, 2022-03, Vol.38 (6), p.1754-1755

2022

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RF-Hydroxysite: a random forest based predictor for hydroxylation sites

Molecular bioSystems, 2016-07, Vol.12 (8), p.2427-2435

2016

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pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model

Improving protein succinylation sites prediction using embeddings from protein language model

Einstein-Roscoe regression for the slag viscosity prediction problem in steelmaking

DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction

DFT-aided machine learning-based discovery of magnetism in Fe-based bimetallic chalcogenides

DeepNGlyPred: A Deep Neural Network-Based Approach for Human N-Linked Glycosylation Site Prediction

Deep Learning-Based Advances in Protein Structure Prediction

Experimental Study: Deep Learning-Based Fall Monitoring among Older Adults with Skin-Wearable Electronics

A deep learning based approach for prediction of Chlamydomonas reinhardtii phosphorylation sites

Deep Learning-Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction

SVM-SulfoSite: A support vector machine based predictor for sulfenylation sites

Comparison of Machine Learning and Deep Learning Models for Network Intrusion Detection Systems

CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes

Integrating Embeddings from Multiple Protein Language Models to Improve Protein O-GlcNAc Site Prediction

LMCrot: an enhanced protein crotonylation site predictor by leveraging an interpretable window-level embedding from a transformer-based protein language model

RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest

Hydrogen peroxide-dependent oxidation of ERK2 within its D-recruitment site alters its substrate selection

Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction

DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation Sites

The PFP and ESG protein function prediction methods in 2014: effect of database updates and ensemble approaches

Recent advances in sequence-based protein structure prediction

FEPS: A Tool for Feature Extraction from Protein Sequence

The evolution of logic circuits for the purpose of protein contact map prediction

GPU-I-TASSER: a GPU accelerated I-TASSER protein structure prediction tool

RF-Hydroxysite: a random forest based predictor for hydroxylation sites

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