UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 3.845

Sortiert nach

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

Link zum Volltext

Verfügbarkeit prüfen

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

Link zum Volltext

Verfügbarkeit prüfen

Impacts of bioinformatics to medicinal chemistry

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

Chou, Kuo-Chen

2015

Link zum Volltext

Verfügbarkeit prüfen

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

Link zum Volltext

Verfügbarkeit prüfen

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

Link zum Volltext

Verfügbarkeit prüfen

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

Link zum Volltext

Verfügbarkeit prüfen

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

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

2015

Link zum Volltext

Verfügbarkeit prüfen

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

Link zum Volltext

Verfügbarkeit prüfen

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

Link zum Volltext

Verfügbarkeit prüfen

iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition

PloS one, 2013-02, Vol.8 (2), p.e55844-e55844

2013

Link zum Volltext

Verfügbarkeit prüfen

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

Link zum Volltext

Verfügbarkeit prüfen

Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences

Molecular bioSystems, 2015-01, Vol.11 (1), p.262-2634

2015

Link zum Volltext

Verfügbarkeit prüfen

iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC

Molecular therapy. Nucleic acids, 2017-06, Vol.7 (C), p.155-163

2017

Link zum Volltext

Verfügbarkeit prüfen

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

Link zum Volltext

Verfügbarkeit prüfen

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

Link zum Volltext

Verfügbarkeit prüfen

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

Link zum Volltext

Verfügbarkeit prüfen

A new method for predicting the subcellular localization of eukaryotic proteins with both single and multiple sites: Euk-mPLoc 2.0

PloS one, 2010-04, Vol.5 (4), p.e9931-e9931

2010

Link zum Volltext

Verfügbarkeit prüfen

Graphic rule for drug metabolism systems

Current drug metabolism, 2010-05, Vol.11 (4), p.369

Chou, Kuo-Chen

2010

Link zum Volltext

Verfügbarkeit prüfen

iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites

Briefings in bioinformatics, 2019-03, Vol.20 (2), p.638-658

2019

Link zum Volltext

Verfügbarkeit prüfen

Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes

Bioinformatics, 2005-01, Vol.21 (1), p.10-19

CHOU, Kuo-Chen

2005

Link zum Volltext

Verfügbarkeit prüfen

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

Link zum Volltext

Verfügbarkeit prüfen

repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects

Bioinformatics, 2015-04, Vol.31 (8), p.1307-1309

2015

Link zum Volltext

Verfügbarkeit prüfen

Structural bioinformatics and its impact to biomedical science

Current medicinal chemistry, 2004-08, Vol.11 (16), p.2105

Chou, Kuo-Chen

2004

Link zum Volltext

Verfügbarkeit prüfen

A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites

PloS one, 2011-06, Vol.6 (6), p.e20592-e20592

2011

Link zum Volltext

Verfügbarkeit prüfen

iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences

Bioinformatics, 2018-07, Vol.34 (14), p.2499-2502

2018

Link zum Volltext

Verfügbarkeit prüfen

1 – 25 von 3.845

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(3.378)
Mit Volltextzugriff
(3.584)

Publikationsform

Sprache

3 weitere anzeigen...

Weniger anzeigen...

Erscheinungsjahr

n.n

Thema

Science & Technology
(2.768)
Life Sciences & Biomedicine
(1.909)
Humans
(1.262)
Male
(702)
Female
(662)
Physical Sciences
(580)
Technology
(536)
Middle Aged
(481)
Biochemistry & Molecular Biology
(411)
Adult
(402)
Aged
(377)
Animals
(368)
Chemistry
(323)
Biological And Medical Sciences
(305)
Science & Technology - Other Topics
(275)
Engineering
(233)
Materials Science
(224)
Oncology
(221)
Algorithms
(219)
Physics
(214)

15 weitere anzeigen...

Weniger anzeigen...

Kollektion

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

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

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

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

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

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

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

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

iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition

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

Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences

iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC

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

Progresses in Predicting Post-translational Modification

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

A new method for predicting the subcellular localization of eukaryotic proteins with both single and multiple sites: Euk-mPLoc 2.0

Graphic rule for drug metabolism systems

iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites

Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes

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

repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects

Structural bioinformatics and its impact to biomedical science

A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites

iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences

Suchergebnisse filtern