Lista de obras - Watshara Shoombuatong - Dominio Público Uruguay

ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides.

artículo científico publicado en 2019

AnkPlex: algorithmic structure for refinement of near-native ankyrin-protein docking

artículo científico publicado en 2017

AutoWeka: toward an automated data mining software for QSAR and QSPR studies

artículo científico publicado en 2015

Classification of P-glycoprotein-interacting compounds using machine learning methods

artículo científico publicado en 2015

Computer-Aided Drug Design of Bioactive Natural Products

artículo científico

Correction: Privileged substructures for anti-sickling activity via cheminformatic analysis

scholarly article in RSC Advances, vol. 8 no. 15, 2018

Correction: Shoombuatong, W., et al. iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou's 5-Steps Rule and Informative Physicochemical Properties. Int. J. Mol. Sci. 2020, 21, 75

scientific article published on 10 April 2020

CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins

scholarly article in Journal of Chemistry, 2017

DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the α+-Thalassemia Trait Using Red Blood Cell Parameters

artículo científico publicado en 2022

Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infection

artículo científico publicado en 2021

Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction

scientific article published on 01 September 2020

Exploring the chemical space of influenza neuraminidase inhibitors

artículo científico publicado en 2016

Exploring the origins of structure–oxygen affinity relationship of human haemoglobin allosteric effector

Extending proteochemometric modeling for unraveling the sorption behavior of compound–soil interaction

scholarly article by Watshara Shoombuatong et al published February 2016 in Chemometrics and Intelligent Laboratory Systems

HCVpred: A web server for predicting the bioactivity of hepatitis C virus NS5B inhibitors

scientific article published on 25 May 2020

HIV-1 CRF01_AE coreceptor usage prediction using kernel methods based logistic model trees

artículo científico publicado en 2012

HIVCoR: A sequence-based tool for predicting HIV-1 CRF01_AE coreceptor usage

artículo científico publicado en 2019

HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation

scientific article published on 07 March 2020

HemoPred: a web server for predicting the hemolytic activity of peptides.

artículo científico publicado en 2017

In silico approaches for the prediction and analysis of antiviral peptides: a review

artículo científico publicado en 2020

Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation.

artículo científico publicado en 2019

Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation

scientific article published on 16 June 2020

Navigating the chemical space of dipeptidyl peptidase-4 inhibitors

artículo científico publicado en 2015

New Bioinformatics-Based Discrimination Formulas for Differentiation of Thalassemia Traits From Iron Deficiency Anemia.

artículo científico publicado en 2017

On the Origins of Hepatitis C Virus NS5B Polymerase Inhibitory Activity Using Machine Learning Approaches

artículo científico publicado en 2015

PAAP: a web server for predicting antihypertensive activity of peptides

article published in 2018

PVPred-SCM: Improved Prediction and Analysis of Phage Virion Proteins Using a Scoring Card Method

artículo científico publicado en 2020

PepBio: predicting the bioactivity of host defense peptides

artículo científico publicado en 2017

Predicting Metabolic Syndrome Using the Random Forest Method.

artículo científico publicado en 2015

Prediction of aromatase inhibitory activity using the efficient linear method (ELM)

artículo científico publicado en 2015

Prediction of the disulphide bonding state of cysteines in proteins using conditional random fields.

artículo científico publicado en 2011

Privileged substructures for anti-sickling activity via cheminformatic analysis

scholarly article in RSC Advances, vol. 8 no. 11, 2018

ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations

scientific article published on 23 September 2020

Probing the origin of estrogen receptor alpha inhibition via large-scale QSAR study

scholarly article in RSC Advances, vol. 8 no. 21, 2018

Probing the origins of human acetylcholinesterase inhibition via QSAR modeling and molecular docking

artículo científico publicado en 2016

Review of Computational Methods and Database Sources for Predicting the Effects of Coding Frameshift Small Insertion and Deletion Variations

artículo científico publicado en 2024

SCMCRYS: predicting protein crystallization using an ensemble scoring card method with estimating propensity scores of P-collocated amino acid pairs

artículo científico publicado en 2013

Sequence based human leukocyte antigen gene prediction using informative physicochemical properties

artículo científico publicado en 2015

THPep: A machine learning-based approach for predicting tumor homing peptides

artículo científico publicado en 2019

TargetAntiAngio: A Sequence-Based Tool for the Prediction and Analysis of Anti-Angiogenic Peptides

scientific article published on 17 June 2019

The MicroRNA Interaction Network of Lipid Diseases.

artículo científico publicado en 2017

Towards Predicting the Cytochrome P450 Modulation: From QSAR to proteochemometric modeling

article

Towards understanding aromatase inhibitory activity via QSAR modeling

scientific article published on 20 July 2018

Unraveling the bioactivity of anticancer peptides as deduced from machine learning

artículo científico publicado en 2018

i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes ⬇️

scientific article published on 08 April 2020

i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation

scientific article published on 05 March 2020

iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptides

artículo científico publicado en 2020

iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides

artículo científico publicado en 2020

iDPPIV-SCM: A sequence-based predictor for identifying and analyzing dipeptidyl peptidase IV (DPP-IV) inhibitory peptides using a scoring card method

artículo científico publicado en 2020

iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou's 5-Steps Rule and Informative Physicochemical Properties

artículo científico publicado en 2019

iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representation

scientific article published on 22 April 2020

iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides

artículo científico publicado en 2020

osFP: a web server for predicting the oligomeric states of fluorescent proteins.

artículo científico publicado en 2016

Lista de obras de Watshara Shoombuatong

ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides.

AnkPlex: algorithmic structure for refinement of near-native ankyrin-protein docking

AutoWeka: toward an automated data mining software for QSAR and QSPR studies

Classification of P-glycoprotein-interacting compounds using machine learning methods

Computer-Aided Drug Design of Bioactive Natural Products

Correction: Privileged substructures for anti-sickling activity via cheminformatic analysis

Correction: Shoombuatong, W., et al. iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou's 5-Steps Rule and Informative Physicochemical Properties. Int. J. Mol. Sci. 2020, 21, 75

CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins

DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the α+-Thalassemia Trait Using Red Blood Cell Parameters

Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infection

Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction

Exploring the chemical space of influenza neuraminidase inhibitors

Exploring the origins of structure–oxygen affinity relationship of human haemoglobin allosteric effector

Extending proteochemometric modeling for unraveling the sorption behavior of compound–soil interaction

HCVpred: A web server for predicting the bioactivity of hepatitis C virus NS5B inhibitors

HIV-1 CRF01_AE coreceptor usage prediction using kernel methods based logistic model trees

HIVCoR: A sequence-based tool for predicting HIV-1 CRF01_AE coreceptor usage

HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation

HemoPred: a web server for predicting the hemolytic activity of peptides.

In silico approaches for the prediction and analysis of antiviral peptides: a review

Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation.

Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation

Navigating the chemical space of dipeptidyl peptidase-4 inhibitors

New Bioinformatics-Based Discrimination Formulas for Differentiation of Thalassemia Traits From Iron Deficiency Anemia.

On the Origins of Hepatitis C Virus NS5B Polymerase Inhibitory Activity Using Machine Learning Approaches

PAAP: a web server for predicting antihypertensive activity of peptides

PVPred-SCM: Improved Prediction and Analysis of Phage Virion Proteins Using a Scoring Card Method

PepBio: predicting the bioactivity of host defense peptides

Predicting Metabolic Syndrome Using the Random Forest Method.

Prediction of aromatase inhibitory activity using the efficient linear method (ELM)

Prediction of the disulphide bonding state of cysteines in proteins using conditional random fields.

Privileged substructures for anti-sickling activity via cheminformatic analysis

ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations

Probing the origin of estrogen receptor alpha inhibition via large-scale QSAR study

Probing the origins of human acetylcholinesterase inhibition via QSAR modeling and molecular docking

Review of Computational Methods and Database Sources for Predicting the Effects of Coding Frameshift Small Insertion and Deletion Variations

SCMCRYS: predicting protein crystallization using an ensemble scoring card method with estimating propensity scores of P-collocated amino acid pairs

Sequence based human leukocyte antigen gene prediction using informative physicochemical properties

THPep: A machine learning-based approach for predicting tumor homing peptides

TargetAntiAngio: A Sequence-Based Tool for the Prediction and Analysis of Anti-Angiogenic Peptides

The MicroRNA Interaction Network of Lipid Diseases.

Towards Predicting the Cytochrome P450 Modulation: From QSAR to proteochemometric modeling

Towards understanding aromatase inhibitory activity via QSAR modeling

Unraveling the bioactivity of anticancer peptides as deduced from machine learning

i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes ⬇️

i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation

iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptides

iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides

iDPPIV-SCM: A sequence-based predictor for identifying and analyzing dipeptidyl peptidase IV (DPP-IV) inhibitory peptides using a scoring card method

iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou's 5-Steps Rule and Informative Physicochemical Properties

iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representation

iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides

osFP: a web server for predicting the oligomeric states of fluorescent proteins.