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Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction

PLoS computational biology, 2022-12, Vol.18 (12), p.e1010793-e1010793

2022

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ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein–DNA binding site prediction

Briefings in bioinformatics, 2024-01, Vol.25 (2)

2024

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TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning

IEEE/ACM transactions on computational biology and bioinformatics, 2020-07, Vol.17 (4), p.1419-1429

2020

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MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network

Briefings in bioinformatics, 2022-01, Vol.23 (1)

2022

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Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction

Computers in biology and medicine, 2023-11, Vol.166, p.107529, Article 107529

2023

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TargetMM: Accurate Missense Mutation Prediction by Utilizing Local and Global Sequence Information with Classifier Ensemble

Combinatorial chemistry & high throughput screening, 2022-01, Vol.25 (1), p.38-52

2022

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MutTMPredictor: Robust and accurate cascade XGBoost classifier for prediction of mutations in transmembrane proteins

Computational and structural biotechnology journal, 2021-01, Vol.19, p.6400-6416

2021

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TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction

Genomics, proteomics & bioinformatics, 2022-10, Vol.20 (5), p.1013-1027

2022

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DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines

Journal of chemical information and modeling, 2019-06, Vol.59 (6), p.3057-3071

2019

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Boosting Granular Support Vector Machines for the Accurate Prediction of Protein-Nucleotide Binding Sites

Combinatorial chemistry & high throughput screening, 2019-01, Vol.22 (7), p.455-469

2019

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GCmapCrys: Integrating graph attention network with predicted contact map for multi-stage protein crystallization propensity prediction

Analytical biochemistry, 2023-02, Vol.663, p.115020-115020, Article 115020

2023

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Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation

Briefings in bioinformatics, 2021-09, Vol.22 (5)

2021

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Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features

Briefings in bioinformatics, 2021-05, Vol.22 (3)

2021

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Improving protein fold recognition using triplet network and ensemble deep learning

Briefings in bioinformatics, 2021-11, Vol.22 (6)

2021

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SSCpred: Single-Sequence-Based Protein Contact Prediction Using Deep Fully Convolutional Network

Journal of chemical information and modeling, 2020-06, Vol.60 (6), p.3295-3303

2020

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TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features

Journal of chemical information and modeling, 2021-01, Vol.61 (1), p.505-515

2021

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Preparation of nanodiamonds based on phase transformation of vertical sheet under atmospheric pressure

Wuli xuebao, 2024-01, Vol.73 (2), p.28101

2024

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DeepTF: Accurate Prediction of Transcription Factor Binding Sites by Combining Multi-scale Convolution and Long Short-Term Memory Neural Network

Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019, Vol.11936, p.126-138

2019

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A new method for predicting anterior chamber depth in intraocular lens implantation

Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2011-11, Vol.31 (11), p.1895

2011

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BLAM6A-Merge: Leveraging Attention Mechanisms and Feature Fusion Strategies to Improve the Identification of RNA N6-methyladenosine Sites

IEEE/ACM transactions on computational biology and bioinformatics, 2024-06, Vol.PP, p.1-14

2024

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Charged residues render pro-OmpA potential dependent for initiation of membrane translocation

The Journal of biological chemistry, 1993-05, Vol.268 (13), p.9442-9447

1993

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Evidence for a Loop‐Like Insertion Mechanism of Pro‐Omp A into the Inner Membrane of Escherichia Coli

European journal of biochemistry, 1994-12, Vol.226 (3), p.891-897

1994

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Protein Array-based Approaches for BiomarkerDiscovery in Cancer

基因组蛋白质组与生物信息学报：英文版, 2017, Vol.15 (2), p.73-81

Yi Huang Heng Zhu

2017

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Efficient translocation of positively charged residues of M13 procoat protein across the membrane excludes electrophoresis as the primary force for membrane insertion

The EMBO journal, 1990-08, Vol.9 (8), p.2385-2389

1990

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Construction of a New Molecular Barcode for Discriminating Plants and Animals with a Close Genetic Relationship

Journal of Integrative Agriculture, 2013-07, Vol.12 (7), p.1138-1151

2013

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Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction

ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein–DNA binding site prediction

TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning

MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network

Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction

TargetMM: Accurate Missense Mutation Prediction by Utilizing Local and Global Sequence Information with Classifier Ensemble

MutTMPredictor: Robust and accurate cascade XGBoost classifier for prediction of mutations in transmembrane proteins

TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction

DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines

Boosting Granular Support Vector Machines for the Accurate Prediction of Protein-Nucleotide Binding Sites

GCmapCrys: Integrating graph attention network with predicted contact map for multi-stage protein crystallization propensity prediction

Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation

Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features

Improving protein fold recognition using triplet network and ensemble deep learning

SSCpred: Single-Sequence-Based Protein Contact Prediction Using Deep Fully Convolutional Network

TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features

Preparation of nanodiamonds based on phase transformation of vertical sheet under atmospheric pressure

DeepTF: Accurate Prediction of Transcription Factor Binding Sites by Combining Multi-scale Convolution and Long Short-Term Memory Neural Network

A new method for predicting anterior chamber depth in intraocular lens implantation

BLAM6A-Merge: Leveraging Attention Mechanisms and Feature Fusion Strategies to Improve the Identification of RNA N6-methyladenosine Sites

Charged residues render pro-OmpA potential dependent for initiation of membrane translocation

Evidence for a Loop‐Like Insertion Mechanism of Pro‐Omp A into the Inner Membrane of Escherichia Coli

Protein Array-based Approaches for BiomarkerDiscovery in Cancer

Efficient translocation of positively charged residues of M13 procoat protein across the membrane excludes electrophoresis as the primary force for membrane insertion

Construction of a New Molecular Barcode for Discriminating Plants and Animals with a Close Genetic Relationship

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