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Sequence-based prediction of protein protein interaction using a deep-learning algorithm

BMC bioinformatics, 2017-05, Vol.18 (1), p.277-277, Article 277

2017

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Automatic retrosynthetic route planning using template-free models

Chemical science (Cambridge), 2020-03, Vol.11 (12), p.3355-3364

2020

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Prediction of Human Cytochrome P450 Inhibition Using a Multitask Deep Autoencoder Neural Network

Molecular pharmaceutics, 2018-10, Vol.15 (10), p.4336-4345

2018

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Discovery of novel allosteric effectors based on the predicted allosteric sites for Escherichia coli D-3-phosphoglycerate dehydrogenase

PloS one, 2014-04, Vol.9 (4), p.e94829-e94829

2014

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Targeting intrinsically disordered proteins at the edge of chaos

Drug discovery today, 2019-01, Vol.24 (1), p.217-227

2019

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Prediction of liquid-liquid phase separating proteins using machine learning

BMC bioinformatics, 2022-02, Vol.23 (1), p.72-72, Article 72

2022

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Scutellaria baicalensis extract and baicalein inhibit replication of SARS-CoV-2 and its 3C-like protease in vitro

Journal of enzyme inhibition and medicinal chemistry, 2021-01, Vol.36 (1), p.497-503

2021

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Bacterial chemoreceptors and chemoeffectors

Cellular and molecular life sciences : CMLS, 2015-02, Vol.72 (4), p.691-708

2015

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Binding site detection and druggability prediction of protein targets for structure-based drug design

Current pharmaceutical design, 2013, Vol.19 (12), p.2326-2333

2013

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Diverse Ways of Perturbing the Human Arachidonic Acid Metabolic Network To Control Inflammation

Accounts of chemical research, 2015-08, Vol.48 (8), p.2242-2250

2015

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LigBuilder 2: A Practical de Novo Drug Design Approach

Journal of chemical information and modeling, 2011-05, Vol.51 (5), p.1083-1091

2011

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Arabidopsis pollen tube integrity and sperm release are regulated by RALF-mediated signaling

Science (American Association for the Advancement of Science), 2017-12, Vol.358 (6370), p.1596-1600

2017

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Mechanism of DNA‐Induced Phase Separation for Transcriptional Repressor VRN1

Angewandte Chemie International Edition, 2019-04, Vol.58 (15), p.4858-4862

International ed. in English, 2019

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Serine synthesis through PHGDH coordinates nucleotide levels by maintaining central carbon metabolism

Nature communications, 2018-12, Vol.9 (1), p.5442-11, Article 5442

2018

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Novel Allosteric Activators for Ferroptosis Regulator Glutathione Peroxidase 4

Journal of medicinal chemistry, 2019-01, Vol.62 (1), p.266-275

2019

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Ligand clouds around protein clouds: a scenario of ligand binding with intrinsically disordered proteins

PLoS computational biology, 2013-10, Vol.9 (10), p.e1003249

2013

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Synergistic and antagonistic drug combinations depend on network topology

PloS one, 2014-04, Vol.9 (4), p.e93960

2014

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Small molecules in regulating protein phase separation

Acta biochimica et biophysica Sinica, 2023-07, Vol.55 (7), p.1075-1083

2023

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Self-Learning Perfect Optical Chirality via a Deep Neural Network

Physical review letters, 2019-11, Vol.123 (21), p.213902-213902, Article 213902

2019

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Structure-based Inhibitor Design for the Intrinsically Disordered Protein c-Myc

Scientific reports, 2016-03, Vol.6 (1), p.22298-22298, Article 22298

2016

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Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks

Frontiers in genetics, 2018-11, Vol.9, p.585-585

2018

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Activation of Glutathione Peroxidase 4 as a Novel Anti-inflammatory Strategy

Frontiers in pharmacology, 2018-10, Vol.9, p.1120-1120

2018

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The Regulatory Roles of Intrinsically Disordered Linker in VRN1-DNA Phase Separation

International journal of molecular sciences, 2022-04, Vol.23 (9), p.4594

2022

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LigBuilder V3: A Multi-Target de novo Drug Design Approach

Frontiers in chemistry, 2020-02, Vol.8, p.142-142

2020

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Designing Cyclic-Constrained Peptides to Inhibit Human Phosphoglycerate Dehydrogenase

Molecules (Basel, Switzerland), 2023-09, Vol.28 (17), p.6430

2023

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Sequence-based prediction of protein protein interaction using a deep-learning algorithm

Automatic retrosynthetic route planning using template-free models

Prediction of Human Cytochrome P450 Inhibition Using a Multitask Deep Autoencoder Neural Network

Discovery of novel allosteric effectors based on the predicted allosteric sites for Escherichia coli D-3-phosphoglycerate dehydrogenase

Targeting intrinsically disordered proteins at the edge of chaos

Prediction of liquid-liquid phase separating proteins using machine learning

Scutellaria baicalensis extract and baicalein inhibit replication of SARS-CoV-2 and its 3C-like protease in vitro

Bacterial chemoreceptors and chemoeffectors

Binding site detection and druggability prediction of protein targets for structure-based drug design

Diverse Ways of Perturbing the Human Arachidonic Acid Metabolic Network To Control Inflammation

LigBuilder 2: A Practical de Novo Drug Design Approach

Arabidopsis pollen tube integrity and sperm release are regulated by RALF-mediated signaling

Mechanism of DNA‐Induced Phase Separation for Transcriptional Repressor VRN1

Serine synthesis through PHGDH coordinates nucleotide levels by maintaining central carbon metabolism

Novel Allosteric Activators for Ferroptosis Regulator Glutathione Peroxidase 4

Ligand clouds around protein clouds: a scenario of ligand binding with intrinsically disordered proteins

Synergistic and antagonistic drug combinations depend on network topology

Small molecules in regulating protein phase separation

Self-Learning Perfect Optical Chirality via a Deep Neural Network

Structure-based Inhibitor Design for the Intrinsically Disordered Protein c-Myc

Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks

Activation of Glutathione Peroxidase 4 as a Novel Anti-inflammatory Strategy

The Regulatory Roles of Intrinsically Disordered Linker in VRN1-DNA Phase Separation

LigBuilder V3: A Multi-Target de novo Drug Design Approach

Designing Cyclic-Constrained Peptides to Inhibit Human Phosphoglycerate Dehydrogenase

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