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DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

PLoS computational biology, 2019-06, Vol.15 (6), p.e1007129

2019

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Sequence-based prediction of protein binding regions and drug–target interactions

Journal of cheminformatics, 2022-02, Vol.14 (1), p.5-5, Article 5

2022

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Identification of drug-target interaction by a random walk with restart method on an interactome network

BMC bioinformatics, 2018-06, Vol.19 (Suppl 8), p.208-208, Article 208

2018

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SELF-BLM: Prediction of drug-target interactions via self-training SVM

PloS one, 2017-02, Vol.12 (2), p.e0171839-e0171839

2017

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Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints

BMC bioinformatics, 2017-05, Vol.18 (Suppl 7), p.227-227, Article 227

2017

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DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions

Journal of cheminformatics, 2022-03, Vol.14 (1), p.9-9, Article 9

2022

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Drug repositioning of herbal compounds via a machine-learning approach

BMC bioinformatics, 2019-05, Vol.20 (Suppl 10), p.247-247, Article 247

2019

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Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markers

BMC bioinformatics, 2020-05, Vol.21 (1), p.175-175, Article 175

2020

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The use of technical replication for detection of low-level somatic mutations in next-generation sequencing

Nature communications, 2019-03, Vol.10 (1), p.1047-1047, Article 1047

2019

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Cross-species oncogenic signatures of breast cancer in canine mammary tumors

Nature communications, 2020-07, Vol.11 (1), p.3616-13, Article 3616

2020

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Discovering Health Benefits of Phytochemicals with Integrated Analysis of the Molecular Network, Chemical Properties and Ethnopharmacological Evidence

Nutrients, 2018-08, Vol.10 (8), p.1042

2018

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Artificial Intelligence in Drug Discovery: A Comprehensive Review of Data-driven and Machine Learning Approaches

Biotechnology and Bioprocess Engineering, 2020, 25(6), , pp.895-930

2020

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Network Context and Selection in the Evolution to Enzyme Specificity

Science (American Association for the Advancement of Science), 2012-08, Vol.337 (6098), p.1101-1104

2012

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LOGICS: Learning optimal generative distribution for designing de novo chemical structures

Journal of cheminformatics, 2023-09, Vol.15 (1), p.77-77, Article 77

2023

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GraphATT-DTA: Attention-Based Novel Representation of Interaction to Predict Drug-Target Binding Affinity

Biomedicines, 2022-12, Vol.11 (1), p.67

2022

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Development of Tissue-Specific Age Predictors Using DNA Methylation Data

Genes, 2019-11, Vol.10 (11), p.888

2019

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Predicting the Absorption Potential of Chemical Compounds Through a Deep Learning Approach

IEEE/ACM transactions on computational biology and bioinformatics, 2018-03, Vol.15 (2), p.432-440

2018

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Combining tissue transcriptomics and urine metabolomics for breast cancer biomarker identification

Bioinformatics, 2009-12, Vol.25 (23), p.3151-3157

2009

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CanISO: a database of genomic and transcriptomic variations in domestic dog (Canis lupus familiaris)

BMC genomics, 2023-10, Vol.24 (1), p.1-613, Article 613

2023

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A systems approach to predict oncometabolites via context-specific genome-scale metabolic networks

PLoS computational biology, 2014-09, Vol.10 (9), p.e1003837-e1003837

2014

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HiDRA: Hierarchical Network for Drug Response Prediction with Attention

Journal of chemical information and modeling, 2021-08, Vol.61 (8), p.3858-3867

2021

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1H NMR based urinary metabolites profiling dataset of canine mammary tumors

Scientific data, 2022-03, Vol.9 (1), p.132-132, Article 132

2022

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hERG-Att: Self-attention-based deep neural network for predicting hERG blockers

Computational biology and chemistry, 2020-08, Vol.87, p.107286, Article 107286

2020

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Identification of genomic features in the classification of loss- and gain-of-function mutation

BMC medical informatics and decision making, 2015-05, Vol.15 Suppl 1 (S1), p.S6-S6, Article S6

2015

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The role of cellular objectives and selective pressures in metabolic pathway evolution

Current opinion in biotechnology, 2011-08, Vol.22 (4), p.595-600

2011

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DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

Sequence-based prediction of protein binding regions and drug–target interactions

Identification of drug-target interaction by a random walk with restart method on an interactome network

SELF-BLM: Prediction of drug-target interactions via self-training SVM

Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints

DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions

Drug repositioning of herbal compounds via a machine-learning approach

Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markers

The use of technical replication for detection of low-level somatic mutations in next-generation sequencing

Cross-species oncogenic signatures of breast cancer in canine mammary tumors

Discovering Health Benefits of Phytochemicals with Integrated Analysis of the Molecular Network, Chemical Properties and Ethnopharmacological Evidence

Artificial Intelligence in Drug Discovery: A Comprehensive Review of Data-driven and Machine Learning Approaches

Network Context and Selection in the Evolution to Enzyme Specificity

LOGICS: Learning optimal generative distribution for designing de novo chemical structures

GraphATT-DTA: Attention-Based Novel Representation of Interaction to Predict Drug-Target Binding Affinity

Development of Tissue-Specific Age Predictors Using DNA Methylation Data

Predicting the Absorption Potential of Chemical Compounds Through a Deep Learning Approach

Combining tissue transcriptomics and urine metabolomics for breast cancer biomarker identification

CanISO: a database of genomic and transcriptomic variations in domestic dog (Canis lupus familiaris)

A systems approach to predict oncometabolites via context-specific genome-scale metabolic networks

HiDRA: Hierarchical Network for Drug Response Prediction with Attention

1H NMR based urinary metabolites profiling dataset of canine mammary tumors

hERG-Att: Self-attention-based deep neural network for predicting hERG blockers

Identification of genomic features in the classification of loss- and gain-of-function mutation

The role of cellular objectives and selective pressures in metabolic pathway evolution

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