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Context-aware multi-token concept recognition of biological entities

BMC bioinformatics, 2021-10, Vol.22 (Suppl 11), p.337-10, Article 337

2021

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Combining empirical knowledge, in silico molecular docking and ADMET profiling to identify therapeutic phytochemicals from Brucea antidysentrica for acute myeloid leukemia

PloS one, 2022-07, Vol.17 (7), p.e0270050-e0270050

2022

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Drug repurposing for Parkinson’s disease by biological pathway based edge-weighted network proximity analysis

Scientific reports, 2024-09, Vol.14 (1), p.21258-11, Article 21258

2024

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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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Normalization of Tumor Vessels by Tie2 Activation and Ang2 Inhibition Enhances Drug Delivery and Produces a Favorable Tumor Microenvironment

Cancer cell, 2016-12, Vol.30 (6), p.953-967

2016

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Literature mining for context-specific molecular relations using multimodal representations (COMMODAR)

BMC bioinformatics, 2020-10, Vol.21 (Suppl 5), p.1-250, Article 250

2020

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Genome-Wide Analysis of Genes Targeted by PHYTOCHROME INTERACTING FACTOR 3-LIKE5 during Seed Germination in Arabidopsis

The Plant cell, 2009-02, Vol.21 (2), p.403-419

2009

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Topological motifs populate complex networks through grouped attachment

Scientific reports, 2018-08, Vol.8 (1), p.12670-11, Article 12670

2018

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Compositional and functional differences of the mucosal microbiota along the intestine of healthy individuals

Scientific reports, 2020-09, Vol.10 (1), p.14977-14977, Article 14977

2020

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Computational Discovery of Cancer Immunotherapy Targets by Intercellular CRISPR Screens

Frontiers in immunology, 2022-05, Vol.13, p.884561-884561

2022

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In silico activity and ADMET profiling of phytochemicals from Ethiopian indigenous aloes using pharmacophore models

Scientific reports, 2022-12, Vol.12 (1), p.22221-19, Article 22221

2022

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A feature-based approach to modeling protein-protein interaction hot spots

Nucleic acids research, 2009-05, Vol.37 (8), p.2672-2687

2009

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A systematic approach to identify therapeutic effects of natural products based on human metabolite information

BMC bioinformatics, 2018-06, Vol.19 (Suppl 8), p.205-205, Article 205

2018

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Designing combinational herbal drugs based on target space analysis

BMC complementary medicine and therapies, 2024-05, Vol.24 (Suppl 1), p.179-179, Article 179

2024

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Vascular RhoJ Is an Effective and Selective Target for Tumor Angiogenesis and Vascular Disruption

Cancer cell, 2014-01, Vol.25 (1), p.102-117

2014

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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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Optogenetic mimicry of the transient activation of dopamine neurons by natural reward is sufficient for operant reinforcement

PloS one, 2012-04, Vol.7 (4), p.e33612-e33612

2012

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An interactive retrieval system for clinical trial studies with context-dependent protocol elements

PloS one, 2020-09, Vol.15 (9), p.e0238290

2020

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Plant phenotype relationship corpus for biomedical relationships between plants and phenotypes

Scientific data, 2022-05, Vol.9 (1), p.235-235, Article 235

2022

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CODA-ML: context-specific biological knowledge representation for systemic physiology analysis

BMC bioinformatics, 2019-05, Vol.20 (Suppl 10), p.248-248, Article 248

2019

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Coupling effects on turning points of infectious diseases epidemics in scale-free networks

BMC bioinformatics, 2017-05, Vol.18 (Suppl 7), p.250-250, Article 250

2017

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A Deep Learning-Based Approach for Identifying the Medicinal Uses of Plant-Derived Natural Compounds

Frontiers in pharmacology, 2020-11, Vol.11, p.584875

2020

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Normalization of Tumor Vessels by Tie2 Activation and Ang2 Inhibition Enhances Drug Delivery and Produces a Favorable Tumor Microenvironment

Cancer cell, 2017-01, Vol.31 (1), p.157-158

2017

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Deep learning-based classification with improved time resolution for physical activities of children

PeerJ (San Francisco, CA), 2018-10, Vol.6, p.e5764-e5764, Article e5764

2018

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Context-aware multi-token concept recognition of biological entities

Combining empirical knowledge, in silico molecular docking and ADMET profiling to identify therapeutic phytochemicals from Brucea antidysentrica for acute myeloid leukemia

Drug repurposing for Parkinson’s disease by biological pathway based edge-weighted network proximity analysis

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

Normalization of Tumor Vessels by Tie2 Activation and Ang2 Inhibition Enhances Drug Delivery and Produces a Favorable Tumor Microenvironment

Literature mining for context-specific molecular relations using multimodal representations (COMMODAR)

Genome-Wide Analysis of Genes Targeted by PHYTOCHROME INTERACTING FACTOR 3-LIKE5 during Seed Germination in Arabidopsis

Topological motifs populate complex networks through grouped attachment

Compositional and functional differences of the mucosal microbiota along the intestine of healthy individuals

Computational Discovery of Cancer Immunotherapy Targets by Intercellular CRISPR Screens

In silico activity and ADMET profiling of phytochemicals from Ethiopian indigenous aloes using pharmacophore models

A feature-based approach to modeling protein-protein interaction hot spots

A systematic approach to identify therapeutic effects of natural products based on human metabolite information

Designing combinational herbal drugs based on target space analysis

Vascular RhoJ Is an Effective and Selective Target for Tumor Angiogenesis and Vascular Disruption

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

Combining tissue transcriptomics and urine metabolomics for breast cancer biomarker identification

Optogenetic mimicry of the transient activation of dopamine neurons by natural reward is sufficient for operant reinforcement

An interactive retrieval system for clinical trial studies with context-dependent protocol elements

Plant phenotype relationship corpus for biomedical relationships between plants and phenotypes

CODA-ML: context-specific biological knowledge representation for systemic physiology analysis

Coupling effects on turning points of infectious diseases epidemics in scale-free networks

A Deep Learning-Based Approach for Identifying the Medicinal Uses of Plant-Derived Natural Compounds

Normalization of Tumor Vessels by Tie2 Activation and Ang2 Inhibition Enhances Drug Delivery and Produces a Favorable Tumor Microenvironment

Deep learning-based classification with improved time resolution for physical activities of children

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