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Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov

Interdisciplinary sciences : computational life sciences, 2020-09, Vol.12 (3), p.368-376

2020

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Identification of the active compounds and significant pathways of yinchenhao decoction based on network pharmacology

Molecular medicine reports, 2017-10, Vol.16 (4), p.4583-4592

2017

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Machine learning for predicting lifespan-extending chemical compounds

Aging (Albany, NY.), 2017-07, Vol.9 (7), p.1721-1737

2017

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Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features

Aging (Albany, NY.), 2023-07, Vol.15 (13), p.6073-6099

2023

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Phylogenetic Analysis and Structural Perspectives of RNA-Dependent RNA-Polymerase Inhibition from SARs-CoV-2 with Natural Products

Interdisciplinary sciences : computational life sciences, 2020-09, Vol.12 (3), p.335-348

2020

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MDP, a database linking drug response data to genomic information, identifies dasatinib and statins as a combinatorial strategy to inhibit YAP/TAZ in cancer cells

Oncotarget, 2015-11, Vol.6 (36), p.38854-38865

2015

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H-RACS: a handy tool to rank anti-cancer synergistic drugs

Aging (Albany, NY.), 2020-11, Vol.12 (21), p.21504-21517

2020

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Data Mining and Computational Modeling of High-Throughput Screening Datasets

Methods in molecular biology (Clifton, N.J.), 2018-01, Vol.1755, p.197

2018

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QSAR Models at the US FDA/NCTR

Methods in molecular biology (Clifton, N.J.), 2016, Vol.1425, p.431

2016

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Identification of prognostic biomarkers and drug target prediction for colon cancer according to a competitive endogenous RNA network

Molecular medicine reports, 2020-08, Vol.22 (2), p.620-632

2020

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Databases for Pharmacoepidemiological Research

1st Edition 2021, 2021

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Can We Rely on Pharmacy Claims Databases to Ascertain Maternal Use of Medications during Pregnancy?

Birth defects research, 2017-04, Vol.109 (6), p.423-431

2017

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Radioprotectors.org: an open database of known and predicted radioprotectors

Aging (Albany, NY.), 2020-08, Vol.12 (15), p.15741-15755

2020

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Adverse Outcome Pathways as Tools to Assess Drug-Induced Toxicity

Methods in molecular biology (Clifton, N.J.), 2016-01, Vol.1425, p.325

Vinken, Mathieu

2016

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Drug screening and identification of key candidate genes and pathways of rheumatoid arthritis

Molecular medicine reports, 2020-08, Vol.22 (2), p.986-996

2020

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In Silico Model for Developmental Toxicity: How to Use QSAR Models and Interpret Their Results

Methods in molecular biology (Clifton, N.J.), 2016, Vol.1425, p.139

2016

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Taking Advantage of Databases

Methods in molecular biology (Clifton, N.J.), 2016, Vol.1425, p.383

2016

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Structure-Based Virtual Screening of Commercially Available Compound Libraries

Methods in molecular biology (Clifton, N.J.), 2016-01, Vol.1439, p.65

Kireev, Dmitri

2016

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Drug firms chip in for multiple myeloma database

Cancer discovery, 2013-12, Vol.3 (12), p.OF6-OF6

2013

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Establishment of a rapid identification of adverse drug reaction program in R language implementation based on monitoring data

Zhejiang da xue xue bao. Journal of Zhejiang University. Medical sciences. Yi xue ban, 2020-05, Vol.49 (2), p.253

2020

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Prediction of bioactive peptides using artificial neural networks

Methods in molecular biology (Clifton, N.J.), 2015, Vol.1260, p.101

2015

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Comparison of Hyperkalemic Risk in Hospitalized Patients Treated with Different Angiotensin Receptor Blockers: A Retrospective Cohort Study Using a Korean Clinical Research Database

American journal of cardiovascular drugs : drugs, devices, and other interventions, 2012-08, Vol.12 (4), p.255-262

2012

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Protein-ligand interactions: fundamentals

Methods in molecular biology (Clifton, N.J.), 2013, Vol.1008, p.3

Williams, Mark A

2013

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A general ANN-based multitasking model for the discovery of potent and safer antibacterial agents

Methods in molecular biology (Clifton, N.J.), 2015, Vol.1260, p.45

2015

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Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov

Geroprotectors.org: a new, structured and curated database of current therapeutic interventions in aging and age-related disease

Identification of the active compounds and significant pathways of yinchenhao decoction based on network pharmacology

Machine learning for predicting lifespan-extending chemical compounds

Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features

Phylogenetic Analysis and Structural Perspectives of RNA-Dependent RNA-Polymerase Inhibition from SARs-CoV-2 with Natural Products

MDP, a database linking drug response data to genomic information, identifies dasatinib and statins as a combinatorial strategy to inhibit YAP/TAZ in cancer cells

H-RACS: a handy tool to rank anti-cancer synergistic drugs

Data Mining and Computational Modeling of High-Throughput Screening Datasets

QSAR Models at the US FDA/NCTR

Identification of prognostic biomarkers and drug target prediction for colon cancer according to a competitive endogenous RNA network

Databases for Pharmacoepidemiological Research

Can We Rely on Pharmacy Claims Databases to Ascertain Maternal Use of Medications during Pregnancy?

Radioprotectors.org: an open database of known and predicted radioprotectors

Adverse Outcome Pathways as Tools to Assess Drug-Induced Toxicity

Drug screening and identification of key candidate genes and pathways of rheumatoid arthritis

In Silico Model for Developmental Toxicity: How to Use QSAR Models and Interpret Their Results

Taking Advantage of Databases

Structure-Based Virtual Screening of Commercially Available Compound Libraries

Drug firms chip in for multiple myeloma database

Establishment of a rapid identification of adverse drug reaction program in R language implementation based on monitoring data

Prediction of bioactive peptides using artificial neural networks

Comparison of Hyperkalemic Risk in Hospitalized Patients Treated with Different Angiotensin Receptor Blockers: A Retrospective Cohort Study Using a Korean Clinical Research Database

Protein-ligand interactions: fundamentals

A general ANN-based multitasking model for the discovery of potent and safer antibacterial agents

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