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Future possibilities for artificial intelligence in the practical management of hypertension

Hypertension research, 2020-12, Vol.43 (12), p.1327-1337

2020

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Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks

Journal of chemical information and modeling, 2019-12, Vol.59 (12), p.5026-5033

2019

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CBNplot: Bayesian network plots for enrichment analysis

Bioinformatics, 2022-05, Vol.38 (10), p.2959-2960

2022

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Brigatinib combined with anti-EGFR antibody overcomes osimertinib resistance in EGFR-mutated non-small-cell lung cancer

Nature communications, 2017-03, Vol.8 (1), p.14768-14768, Article 14768

2017

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Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network

BMC bioinformatics, 2023-10, Vol.24 (1), p.1-383, Article 383

2023

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Gilteritinib overcomes lorlatinib resistance in ALK-rearranged cancer

Nature communications, 2021-02, Vol.12 (1), p.1261-1261, Article 1261

2021

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kGCN: a graph-based deep learning framework for chemical structures

Journal of cheminformatics, 2020-05, Vol.12 (1), p.32-32, Article 32

2020

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Exploring ligand binding pathways on proteins using hypersound-accelerated molecular dynamics

Nature communications, 2021-05, Vol.12 (1), p.2793-10, Article 2793

2021

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Repertoires of G protein-coupled receptors for Ciona-specific neuropeptides

Proceedings of the National Academy of Sciences - PNAS, 2019-04, Vol.116 (16), p.7847-7856

2019

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Novel cancer subtyping method based on patient-specific gene regulatory network

Scientific reports, 2021-12, Vol.11 (1), p.23653-23653, Article 23653

2021

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Landscape and function of multiple mutations within individual oncogenes

Nature (London), 2020-06, Vol.582 (7810), p.95-99

2020

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Mice Genetically Deficient in Vasopressin V1a and V1b Receptors Are Resistant to Jet Lag

Science (American Association for the Advancement of Science), 2013-10, Vol.342 (6154), p.85-90

2013

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Metagenomic profiling of gut microbiome in early chronic kidney disease

Nephrology, dialysis, transplantation, 2021-09, Vol.36 (9), p.1675-1684

2021

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Extraction of protein dynamics information from cryo-EM maps using deep learning

Nature machine intelligence, 2021-02, Vol.3 (2), p.153-160

2021

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Characterizing eye-gaze positions of people with severe motor dysfunction: Novel scoring metrics using eye-tracking and video analysis

PloS one, 2022-08, Vol.17 (8), p.e0265623

2022

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Two novel ALK mutations mediate acquired resistance to the next-generation ALK inhibitor alectinib

Clinical cancer research, 2014-11, Vol.20 (22), p.5686-5696

2014

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Classification of glomerular pathological findings using deep learning and nephrologist–AI collective intelligence approach

International journal of medical informatics (Shannon, Ireland), 2020-09, Vol.141, p.104231-104231, Article 104231

2020

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Robust prognostic prediction model developed with integrated biological markers for acute myocardial infarction

PloS one, 2022-11, Vol.17 (11), p.e0277260-e0277260

2022

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Accurate Binding Configuration Prediction of a G‑Protein-Coupled Receptor to Its Antagonist Using Multicanonical Molecular Dynamics-Based Dynamic Docking

Journal of chemical information and modeling, 2021-10, Vol.61 (10), p.5161-5171

2021

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Dynamic Docking of a Medium-Sized Molecule to Its Receptor by Multicanonical MD Simulations

The journal of physical chemistry. B, 2019-03, Vol.123 (11), p.2479-2490

2019

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Author Correction: Structure-based design and discovery of novel anti-tissue factor antibodies with cooperative double-point mutations, using interaction analysis

Scientific reports, 2021-09, Vol.11 (1), p.18153-18153, Article 18153

2021

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Interpretable machine learning-based individual analysis of acute kidney injury in immune checkpoint inhibitor therapy

PloS one, 2024-03, Vol.19 (3), p.e0298673-e0298673

2024

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Force‐field parametrization based on radial and energy distribution functions

Journal of computational chemistry, 2019-11, Vol.40 (29), p.2577-2585

2019

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Statin-associated muscular and renal adverse events: data mining of the public version of the FDA adverse event reporting system

PloS one, 2011-12, Vol.6 (12), p.e28124

2011

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Machine learning accelerates MD-based binding pose prediction between ligands and proteins

Bioinformatics, 2018-03, Vol.34 (5), p.770-778

2018

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Future possibilities for artificial intelligence in the practical management of hypertension

Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks

CBNplot: Bayesian network plots for enrichment analysis

Brigatinib combined with anti-EGFR antibody overcomes osimertinib resistance in EGFR-mutated non-small-cell lung cancer

Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network

Gilteritinib overcomes lorlatinib resistance in ALK-rearranged cancer

kGCN: a graph-based deep learning framework for chemical structures

Exploring ligand binding pathways on proteins using hypersound-accelerated molecular dynamics

Repertoires of G protein-coupled receptors for Ciona-specific neuropeptides

Novel cancer subtyping method based on patient-specific gene regulatory network

Landscape and function of multiple mutations within individual oncogenes

Mice Genetically Deficient in Vasopressin V1a and V1b Receptors Are Resistant to Jet Lag

Metagenomic profiling of gut microbiome in early chronic kidney disease

Extraction of protein dynamics information from cryo-EM maps using deep learning

Characterizing eye-gaze positions of people with severe motor dysfunction: Novel scoring metrics using eye-tracking and video analysis

Two novel ALK mutations mediate acquired resistance to the next-generation ALK inhibitor alectinib

Classification of glomerular pathological findings using deep learning and nephrologist–AI collective intelligence approach

Robust prognostic prediction model developed with integrated biological markers for acute myocardial infarction

Accurate Binding Configuration Prediction of a G‑Protein-Coupled Receptor to Its Antagonist Using Multicanonical Molecular Dynamics-Based Dynamic Docking

Dynamic Docking of a Medium-Sized Molecule to Its Receptor by Multicanonical MD Simulations

Author Correction: Structure-based design and discovery of novel anti-tissue factor antibodies with cooperative double-point mutations, using interaction analysis

Interpretable machine learning-based individual analysis of acute kidney injury in immune checkpoint inhibitor therapy

Force‐field parametrization based on radial and energy distribution functions

Statin-associated muscular and renal adverse events: data mining of the public version of the FDA adverse event reporting system

Machine learning accelerates MD-based binding pose prediction between ligands and proteins

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