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An Unprecedented Revolution in Medicinal Chemistry Driven by the Progress of Biological Science

Current topics in medicinal chemistry, 2017-08, Vol.17 (21), p.2337

Chou, Kuo-Chen

2017

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Some remarks on protein attribute prediction and pseudo amino acid composition

Journal of theoretical biology, 2011-03, Vol.273 (1), p.236-247

Chou, Kuo-Chen

2011

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Impacts of bioinformatics to medicinal chemistry

Medicinal chemistry (Shp-sariqah, United Arab Emirates), 2015-01, Vol.11 (3), p.218-234

Chou, Kuo-Chen

2015

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Advances in Predicting Subcellular Localization of Multi-label Proteins and its Implication for Developing Multi-target Drugs

Current medicinal chemistry, 2019-01, Vol.26 (26), p.4918-4943

Chou, Kuo-Chen

2019

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Osteoporosis Due to Hormone Imbalance: An Overview of the Effects of Estrogen Deficiency and Glucocorticoid Overuse on Bone Turnover

International journal of molecular sciences, 2022-01, Vol.23 (3), p.1376

2022

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2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function

Molecular therapy. Nucleic acids, 2017-06, Vol.7 (C), p.267-277

2017

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Some remarks on predicting multi-label attributes in molecular biosystems

Molecular bioSystems, 2013-01, Vol.9 (6), p.1092-1100

Chou, Kuo-Chen

2013

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Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization

PloS one, 2010-06, Vol.5 (6), p.e11335-e11335

2010

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Identification of real microRNA precursors with a pseudo structure status composition approach

PloS one, 2015-03, Vol.10 (3), p.e0121501

2015

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iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework

Bioinformatics (Oxford, England), 2016-08, Vol.32 (16), p.2411-2418

2016

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iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

Briefings in bioinformatics, 2020-05, Vol.21 (3), p.1047-1057

2020

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pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information

Bioinformatics, 2018-05, Vol.34 (9), p.1448-1456

2018

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pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC

Gene, 2017-09, Vol.628, p.315-321

2017

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iDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition

PloS one, 2014-09, Vol.9 (9), p.e106691-e106691

2014

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Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

Nucleic acids research, 2015-07, Vol.43 (W1), p.W65-W71

2015

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iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins

PloS one, 2011-03, Vol.6 (3), p.e18258-e18258

2011

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pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC

Molecular bioSystems, 2017-08, Vol.13 (9), p.1722-1727

2017

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Uncovering Information Linkages between Bitcoin, Sustainable Finance and the Impact of COVID-19: Fractal and Entropy Analysis

Fractal and fractional, 2023-05, Vol.7 (6), p.424

2023

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pLoc-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by deep gene ontology learning via general PseAAC

Genomics (San Diego, Calif.), 2018-07, Vol.110 (4), p.231-239

2018

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Academic outcomes of flipped classroom learning: a meta‐analysis

Medical education, 2018-09, Vol.52 (9), p.910-924

2018

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Insights into the mutation-induced HHH syndrome from modeling human mitochondrial ornithine transporter-1

PloS one, 2012-01, Vol.7 (1), p.e31048-e31048

2012

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iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC

Bioinformatics, 2018-01, Vol.34 (1), p.33-40

2018

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iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites

Molecular therapy. Nucleic acids, 2018-06, Vol.11 (C), p.468-474

2018

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A mass spectrometry imaging and lipidomic investigation reveals aberrant lipid metabolism in the orthotopic mouse glioma

Journal of lipid research, 2022-12, Vol.63 (12), p.100304-100304, Article 100304

2022

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Progresses in Predicting Post-translational Modification

International journal of peptide research and therapeutics, 2020-06, Vol.26 (2), p.873-888

Chou, Kuo-Chen

2020

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An Unprecedented Revolution in Medicinal Chemistry Driven by the Progress of Biological Science

Some remarks on protein attribute prediction and pseudo amino acid composition

Impacts of bioinformatics to medicinal chemistry

Advances in Predicting Subcellular Localization of Multi-label Proteins and its Implication for Developing Multi-target Drugs

Osteoporosis Due to Hormone Imbalance: An Overview of the Effects of Estrogen Deficiency and Glucocorticoid Overuse on Bone Turnover

2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function

Some remarks on predicting multi-label attributes in molecular biosystems

Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization

Identification of real microRNA precursors with a pseudo structure status composition approach

iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information

pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC

iDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition

Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins

pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC

Uncovering Information Linkages between Bitcoin, Sustainable Finance and the Impact of COVID-19: Fractal and Entropy Analysis

pLoc-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by deep gene ontology learning via general PseAAC

Academic outcomes of flipped classroom learning: a meta‐analysis

Insights into the mutation-induced HHH syndrome from modeling human mitochondrial ornithine transporter-1

iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC

iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites

A mass spectrometry imaging and lipidomic investigation reveals aberrant lipid metabolism in the orthotopic mouse glioma

Progresses in Predicting Post-translational Modification

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