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RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning

Nature communications, 2019-11, Vol.10 (1), p.5407-13, Article 5407

2019

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Fibrous calcite veins record stepwise, asymmetric opening and episodic hydrocarbon expulsion from organic-rich shales

Geology (Boulder), 2023-01

2023

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Astronomical forcing of a Middle Permian chert sequence in Chaohu, South China

Earth and planetary science letters, 2015-07, Vol.422, p.206-221

2015

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Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional Architectures

Journal of chemical information and modeling, 2018-11, Vol.58 (11), p.2369-2376

2018

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Fibrous calcite veins record stepwise, asymmetric opening and episodic hydrocarbon expulsion from organic-rich shales

Geology (Boulder), 2023-02, Vol.51 (2), p.199-203

2023

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Real-time reliable determination of binding kinetics of DNA hybridization using a multi-channel graphene biosensor

Nature communications, 2017-03, Vol.8 (1), p.14902-14902, Article 14902

2017

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Pairing a high-resolution statistical potential with a nucleobase-centric sampling algorithm for improving RNA model refinement

Nature communications, 2021-05, Vol.12 (1), p.2777-2777, Article 2777

2021

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Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning

Scientific reports, 2015-06, Vol.5 (1), p.11476-11476, Article 11476

2015

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Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning

Journal of computational chemistry, 2018-10, Vol.39 (26), p.2210-2216

2018

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Recent advances in glycoinformatic platforms for glycomics and glycoproteomics

Current opinion in structural biology, 2020-06, Vol.62, p.56-69

2020

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SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning

Genomics, proteomics & bioinformatics, 2019-12, Vol.17 (6), p.645-656

2019

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Structural insights into the histone H1-nucleosome complex

Proceedings of the National Academy of Sciences - PNAS, 2013-11, Vol.110 (48), p.19390-19395

2013

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SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks

Methods in molecular biology (Clifton, N.J.), 2017-01, Vol.1484, p.55

2017

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Elemental and Sr-Nd-Pb-Hf isotope signatures of Early Cretaceous magmatic rocks in the Wulian area, eastern Shandong; implications for crust-mantle interaction at the edge of the Sulu collisional orogenic belt

Lithosphere, 2022-01, Vol.2022 (1)

2022

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SPIN-CGNN: Improved fixed backbone protein design with contact map-based graph construction and contact graph neural network

PLoS computational biology, 2023-12, Vol.19 (12), p.e1011330-e1011330

2023

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Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability prediction

Protein science, 2002-11, Vol.11 (11), p.2714-2726

2002

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Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignment

Scientific reports, 2022-05, Vol.12 (1), p.7607-9, Article 7607

2022

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SPIN2: Predicting sequence profiles from protein structures using deep neural networks

Proteins, structure, function, and bioinformatics, 2018-06, Vol.86 (6), p.629-633

2018

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Sequence-based prediction of protein-peptide binding sites using support vector machine

Journal of computational chemistry, 2016-05, Vol.37 (13), p.1223-1229

2016

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Neoarchean reworking of Mesoarchean and Paleoarchean crust (3.4 ∼ 3.0 Ga) within the North China Craton: Constraints from zircon U-Pb geochronology and Lu-Hf isotopes from the basement of the Bohai Bay Basin

Precambrian research, 2022-02, Vol.369, p.106497, Article 106497

2022

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Molecular Dynamics Simulations of Human Antimicrobial Peptide LL-37 in Model POPC and POPG Lipid Bilayers

International journal of molecular sciences, 2018-04, Vol.19 (4), p.1186

2018

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Soft-sediment deformation structures induced by rapid sedimentation in Early Cretaceous turbidites, Lingshan Island, eastern China

Canadian journal of earth sciences, 2018-02, Vol.55 (2), p.118-129

2018

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High-throughput mapping of RNA solvent accessibility at the single-nucleotide resolution by RtcB ligation between a fixed 5′-OH-end linker and unique 3′-P-end fragments from hydroxyl radical cleavage

RNA biology, 2022-12, Vol.19 (1), p.1179-1189

2022

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Grid-based prediction of torsion angle probabilities of protein backbone and its application to discrimination of protein intrinsic disorder regions and selection of model structures

BMC bioinformatics, 2018-02, Vol.19 (1), p.29-8, Article 29

2018

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Sequence-Based Prediction of Protein–Carbohydrate Binding Sites Using Support Vector Machines

Journal of chemical information and modeling, 2016-10, Vol.56 (10), p.2115-2122

2016

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RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning

Fibrous calcite veins record stepwise, asymmetric opening and episodic hydrocarbon expulsion from organic-rich shales

Astronomical forcing of a Middle Permian chert sequence in Chaohu, South China

Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional Architectures

Fibrous calcite veins record stepwise, asymmetric opening and episodic hydrocarbon expulsion from organic-rich shales

Real-time reliable determination of binding kinetics of DNA hybridization using a multi-channel graphene biosensor

Pairing a high-resolution statistical potential with a nucleobase-centric sampling algorithm for improving RNA model refinement

Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning

Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning

Recent advances in glycoinformatic platforms for glycomics and glycoproteomics

SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning

Structural insights into the histone H1-nucleosome complex

SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks

Elemental and Sr-Nd-Pb-Hf isotope signatures of Early Cretaceous magmatic rocks in the Wulian area, eastern Shandong; implications for crust-mantle interaction at the edge of the Sulu collisional orogenic belt

SPIN-CGNN: Improved fixed backbone protein design with contact map-based graph construction and contact graph neural network

Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability prediction

Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignment

SPIN2: Predicting sequence profiles from protein structures using deep neural networks

Sequence-based prediction of protein-peptide binding sites using support vector machine

Neoarchean reworking of Mesoarchean and Paleoarchean crust (3.4 ∼ 3.0 Ga) within the North China Craton: Constraints from zircon U-Pb geochronology and Lu-Hf isotopes from the basement of the Bohai Bay Basin

Molecular Dynamics Simulations of Human Antimicrobial Peptide LL-37 in Model POPC and POPG Lipid Bilayers

Soft-sediment deformation structures induced by rapid sedimentation in Early Cretaceous turbidites, Lingshan Island, eastern China

High-throughput mapping of RNA solvent accessibility at the single-nucleotide resolution by RtcB ligation between a fixed 5′-OH-end linker and unique 3′-P-end fragments from hydroxyl radical cleavage

Grid-based prediction of torsion angle probabilities of protein backbone and its application to discrimination of protein intrinsic disorder regions and selection of model structures

Sequence-Based Prediction of Protein–Carbohydrate Binding Sites Using Support Vector Machines

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