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In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy

Scientific reports, 2021-02, Vol.11 (1), p.3332-3332, Article 3332

2021

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Editorial: Traditional medicine and phytochemicals for neurodegenerative diseases treatment: application of interdisciplinary technologies in novel therapeutic target and drug discovery

Frontiers in neuroscience, 2023-08, Vol.17, p.1268710-1268710

2023

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TCMIO: A Comprehensive Database of Traditional Chinese Medicine on Immuno-Oncology

Frontiers in pharmacology, 2020-04, Vol.11, p.439-439

2020

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Network Proximity Analysis Deciphers the Pharmacological Mechanism of Osthole against D-Galactose Induced Cognitive Disorder in Rats

Molecules (Basel, Switzerland), 2023-12, Vol.29 (1), p.21

2023

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Systems Pharmacology Approach to Investigate the Mechanism of Kai-Xin-San in Alzheimer's Disease

Frontiers in pharmacology, 2020-04, Vol.11, p.381-381

2020

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Network-based identification and mechanism exploration of active ingredients against Alzheimer's disease via targeting endoplasmic reticulum stress from traditional chinese medicine

Computational and structural biotechnology journal, 2024-12, Vol.23, p.506-519

2024

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An Insight Into the Molecular Mechanism of Berberine Towards Multiple Cancer Types Through Systems Pharmacology

Frontiers in pharmacology, 2019-08, Vol.10, p.857-857

2019

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Corrigendum: Systems pharmacology approach to investigate the mechanism of Kai-Xin-San in Alzheimer’s disease

Frontiers in pharmacology, 2023-10, Vol.14, p.1239060-1239060

2023

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In silico Identification and Mechanism Exploration of Hepatotoxic Ingredients in Traditional Chinese Medicine

Frontiers in pharmacology, 2019-05, Vol.10, p.458

2019

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Network-Based Identification and Experimental Validation of Drug Candidates Toward SARS-CoV-2 via Targeting Virus-Host Interactome

Frontiers in genetics, 2021-09, Vol.12, p.728960

2021

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In Silico Prediction and Bioactivity Evaluation of Chemical Ingredients Against Influenza A Virus From Isatis tinctoria L

Frontiers in pharmacology, 2021-12, Vol.12, p.755396-755396

2021

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Systems pharmacology-based approach to investigate the mechanisms of Danggui-Shaoyao-san prescription for treatment of Alzheimer's disease

BMC complementary medicine and therapies, 2020-09, Vol.20 (1), p.282-15, Article 282

2020

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Systems pharmacology dissection of pharmacological mechanisms of Xiaochaihu decoction against human coronavirus

BMC complementary medicine and therapies, 2023-07, Vol.23 (1), p.252-252, Article 252

2023

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Network Proximity-based computational pipeline identifies drug candidates for different pathological stages of Alzheimer's disease

Computational and structural biotechnology journal, 2023-01, Vol.21, p.1907-1920

2023

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Deep Learning-Based Prediction of Drug-Induced Cardiotoxicity

Journal of chemical information and modeling, 2019-03, Vol.59 (3), p.1073-1084

2019

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Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug–Target Interactions of Natural Products Enables New Targeted Cancer Therapy

Journal of chemical information and modeling, 2017-11, Vol.57 (11), p.2657-2671

2017

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In Silico Pharmacoepidemiologic Evaluation of Drug-Induced Cardiovascular Complications Using Combined Classifiers

Journal of chemical information and modeling, 2018-05, Vol.58 (5), p.943-956

2018

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Network Medicine Approach Unravels Endophenotype Signature in Alzheimer’s Disease through Large-Scale Comparative Proteomics Analysis: Vascular Dysfunction as a Prime Example

Journal of chemical information and modeling, 2024-10, Vol.64 (19), p.7758-7771

2024

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Quantitative and systems pharmacology 4. Network-based analysis of drug pleiotropy on coronary artery disease

European journal of medicinal chemistry, 2019-01, Vol.161, p.192-204

2019

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Systems pharmacology approach uncovers the therapeutic mechanism of medicarpin against scopolamine-induced memory loss

Phytomedicine (Stuttgart), 2021-10, Vol.91, p.153662, Article 153662

2021

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Comprehensive assessment of side effects in COVID-19 drug pipeline from a network perspective

Food and chemical toxicology, 2020-11, Vol.145, p.111767-111767, Article 111767

2020

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Assessing the Global, Regional, and National Impact of High Body Mass Index on Alzheimer's Disease and Other Dementias Between 1990 and 2019

Journal of Alzheimer's disease, 2024-01, Vol.97 (1), p.293-307

2024

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An endophenotype network strategy uncovers YangXue QingNao Wan suppresses Aβ deposition, improves mitochondrial dysfunction and glucose metabolism

Phytomedicine (Stuttgart), 2024-12, Vol.135, p.156158, Article 156158

2024

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Hydroxychloroquine Attenuates hERG Channel by Promoting the Membrane Channel Degradation: Computational Simulation and Experimental Evidence for QT-Interval Prolongation with Hydroxychloroquine Treatment

Cardiology, 2023-08, Vol.148 (4), p.310-323

2023

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Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug-Target Interaction of Natural Products Enables New Targeted Cancer Therapy

Journal of chemical information and modeling, 2017-10, Vol.57 (11), p.2657-2671

2017

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In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy

Editorial: Traditional medicine and phytochemicals for neurodegenerative diseases treatment: application of interdisciplinary technologies in novel therapeutic target and drug discovery

TCMIO: A Comprehensive Database of Traditional Chinese Medicine on Immuno-Oncology

Network Proximity Analysis Deciphers the Pharmacological Mechanism of Osthole against D-Galactose Induced Cognitive Disorder in Rats

Systems Pharmacology Approach to Investigate the Mechanism of Kai-Xin-San in Alzheimer's Disease

Network-based identification and mechanism exploration of active ingredients against Alzheimer's disease via targeting endoplasmic reticulum stress from traditional chinese medicine

An Insight Into the Molecular Mechanism of Berberine Towards Multiple Cancer Types Through Systems Pharmacology

Corrigendum: Systems pharmacology approach to investigate the mechanism of Kai-Xin-San in Alzheimer’s disease

In silico Identification and Mechanism Exploration of Hepatotoxic Ingredients in Traditional Chinese Medicine

Network-Based Identification and Experimental Validation of Drug Candidates Toward SARS-CoV-2 via Targeting Virus-Host Interactome

In Silico Prediction and Bioactivity Evaluation of Chemical Ingredients Against Influenza A Virus From Isatis tinctoria L

Systems pharmacology-based approach to investigate the mechanisms of Danggui-Shaoyao-san prescription for treatment of Alzheimer's disease

Systems pharmacology dissection of pharmacological mechanisms of Xiaochaihu decoction against human coronavirus

Network Proximity-based computational pipeline identifies drug candidates for different pathological stages of Alzheimer's disease

Deep Learning-Based Prediction of Drug-Induced Cardiotoxicity

Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug–Target Interactions of Natural Products Enables New Targeted Cancer Therapy

In Silico Pharmacoepidemiologic Evaluation of Drug-Induced Cardiovascular Complications Using Combined Classifiers

Network Medicine Approach Unravels Endophenotype Signature in Alzheimer’s Disease through Large-Scale Comparative Proteomics Analysis: Vascular Dysfunction as a Prime Example

Quantitative and systems pharmacology 4. Network-based analysis of drug pleiotropy on coronary artery disease

Systems pharmacology approach uncovers the therapeutic mechanism of medicarpin against scopolamine-induced memory loss

Comprehensive assessment of side effects in COVID-19 drug pipeline from a network perspective

Assessing the Global, Regional, and National Impact of High Body Mass Index on Alzheimer's Disease and Other Dementias Between 1990 and 2019

An endophenotype network strategy uncovers YangXue QingNao Wan suppresses Aβ deposition, improves mitochondrial dysfunction and glucose metabolism

Hydroxychloroquine Attenuates hERG Channel by Promoting the Membrane Channel Degradation: Computational Simulation and Experimental Evidence for QT-Interval Prolongation with Hydroxychloroquine Treatment

Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug-Target Interaction of Natural Products Enables New Targeted Cancer Therapy

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