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Graph Convolutional Neural Networks for Predicting Drug-Target Interactions

Journal of chemical information and modeling, 2019-10, Vol.59 (10), p.4131-4149

2019

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3D deep convolutional neural networks for amino acid environment similarity analysis

BMC bioinformatics, 2017-06, Vol.18 (1), p.302-302, Article 302

2017

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Machine learning in chemoinformatics and drug discovery

Drug discovery today, 2018-08, Vol.23 (8), p.1538-1546

2018

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Informatics confronts drug–drug interactions

Trends in pharmacological sciences (Regular ed.), 2013-03, Vol.34 (3), p.178-184

2013

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Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

Nature communications, 2016-08, Vol.7 (1), p.12474-12474, Article 12474

2016

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COLLAPSE: A representation learning framework for identification and characterization of protein structural sites

Protein science, 2023-02, Vol.32 (2), p.e4541-n/a

2023

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Data-driven prediction of drug effects and interactions

Science translational medicine, 2012-03, Vol.4 (125), p.125ra31

2012

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PharmGKB: the Pharmacogenomics Knowledge Base

Methods in molecular biology (Clifton, N.J.), 2013, Vol.1015, p.311

2013

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PharmGKB: A worldwide resource for pharmacogenomic information

Wiley interdisciplinary reviews. Mechanisms of disease, 2018-07, Vol.10 (4), p.e1417-n/a

2018

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Predicting HLA class II antigen presentation through integrated deep learning

Nature biotechnology, 2019-11, Vol.37 (11), p.1332-1343

2019

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Protein sequence design with a learned potential

Nature communications, 2022-02, Vol.13 (1), p.746-746, Article 746

2022

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Data-driven human transcriptomic modules determined by independent component analysis

BMC bioinformatics, 2018-09, Vol.19 (1), p.327-327, Article 327

2018

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Cloud-based simulations on Google Exacycle reveal ligand modulation of GPCR activation pathways

Nature chemistry, 2014-01, Vol.6 (1), p.15

2014

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WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation

BMC genomics, 2013, Vol.14 Suppl 3 (Suppl 3), p.S6-S6

2013

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Construction of disease-specific cytokine profiles by associating disease genes with immune responses

PLoS computational biology, 2022-04, Vol.18 (4), p.e1009497-e1009497

2022

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Multilingual translation for zero-shot biomedical classification using BioTranslator

Nature communications, 2023-02, Vol.14 (1), p.738-738, Article 738

2023

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Large-scale labeling and assessment of sex bias in publicly available expression data

BMC bioinformatics, 2021-03, Vol.22 (1), p.168-168, Article 168

2021

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Learning the Structure of Biomedical Relationships from Unstructured Text

PLoS computational biology, 2015-07, Vol.11 (7), p.e1004216

2015

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Bioinformatics challenges for personalized medicine

Bioinformatics, 2011-07, Vol.27 (13), p.1741-1748

2011

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Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text

BMC bioinformatics, 2009-02, Vol.10 Suppl 2 (S2), p.S6-S6, Article S6

2009

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Using multiple microenvironments to find similar ligand-binding sites: application to kinase inhibitor binding

PLoS computational biology, 2011-12, Vol.7 (12), p.e1002326

2011

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Quantifying the Severity of Adverse Drug Reactions Using Social Media: Network Analysis

Journal of medical Internet research, 2021-10, Vol.23 (10), p.e27714-e27714

2021

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A deep learning framework to predict binding preference of RNA constituents on protein surface

Nature communications, 2019-10, Vol.10 (1), p.4941-13, Article 4941

2019

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Modeling drug response using network-based personalized treatment prediction (NetPTP) with applications to inflammatory bowel disease

PLoS computational biology, 2021-02, Vol.17 (2), p.e1008631-e1008631

2021

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Graph Convolutional Neural Networks for Predicting Drug-Target Interactions

3D deep convolutional neural networks for amino acid environment similarity analysis

Machine learning in chemoinformatics and drug discovery

Informatics confronts drug–drug interactions

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

COLLAPSE: A representation learning framework for identification and characterization of protein structural sites

Data-driven prediction of drug effects and interactions

PharmGKB: the Pharmacogenomics Knowledge Base

PharmGKB: A worldwide resource for pharmacogenomic information

Predicting HLA class II antigen presentation through integrated deep learning

Protein sequence design with a learned potential

Data-driven human transcriptomic modules determined by independent component analysis

Cloud-based simulations on Google Exacycle reveal ligand modulation of GPCR activation pathways

WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation

Construction of disease-specific cytokine profiles by associating disease genes with immune responses

Multilingual translation for zero-shot biomedical classification using BioTranslator

Large-scale labeling and assessment of sex bias in publicly available expression data

Learning the Structure of Biomedical Relationships from Unstructured Text

Bioinformatics challenges for personalized medicine

Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text

Using multiple microenvironments to find similar ligand-binding sites: application to kinase inhibitor binding

Quantifying the Severity of Adverse Drug Reactions Using Social Media: Network Analysis

A deep learning framework to predict binding preference of RNA constituents on protein surface

Modeling drug response using network-based personalized treatment prediction (NetPTP) with applications to inflammatory bowel disease

Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes

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