K. Plaimas

发表

Estimating novel potential drug targets of Plasmodium falciparum by analysing the metabolic network of knock-out strains in silico.

R. Eils, R. König, S. Fatumo, 2009, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Comparing metabolic network models based on genomic and automatically inferred enzyme information from Plasmodium and its human host to define drug targets in silico.

R. König, S. Fatumo, K. Plaimas, 2011, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

DDA: A Novel Network-Based Scoring Method to Identify Disease–Disease Associations

K. Plaimas, A. Suratanee, 2015, Bioinformatics and biology insights.

Reverse Nearest Neighbor Search on a Protein-Protein Interaction Network to Infer Protein-Disease Associations

K. Plaimas, A. Suratanee, 2017, Bioinformatics and biology insights.

Target Identification Using Homopharma and Network-Based Methods for Predicting Compounds Against Dengue Virus-Infected Cells

K. Plaimas, Jinn-Moon Yang, A. Suratanee, 2020, Molecules.

Comparing metabolic network models based on genomic and automatically inferred enzyme information from Plasmodium and its human host to define drug targets in silico.

Rainer König, Ezekiel Adebiyi, Kitiporn Plaimas, 2011, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Two-State Co-Expression Network Analysis to Identify Genes Related to Salt Tolerance in Thai Rice

K. Plaimas, A. Suratanee, S. Chadchawan, 2018, Genes.

Open Access METHODOLOGY ARTICLE

R. Eils, R. König, K. Plaimas, 2010 .

Novel p16 binding peptide development for p16‐overexpressing cancer cell detection using phage display

K. Plaimas, W. Piyawattanametha, P. Bhattarakosol, 2015, Journal of peptide science : an official publication of the European Peptide Society.

Multi-Level Biological Network Analysis and Drug Repurposing Based on Leukocyte Transcriptomics in Severe COVID-19: In Silico Systems Biology to Precision Medicine

K. Plaimas, A. Suratanee, T. Rungrotmongkol, 2022, Journal of personalized medicine.

Molecular Karyotyping and Exome Analysis of Salt‐Tolerant Rice Mutant from Somaclonal Variation

K. Plaimas, L. Comai, S. Chadchawan, 2014 .

K. Plaimas, A. Suratanee, Pakorn Sagulkoo, 2022, Biomolecules.

Integration of various protein similarities using random forest technique to infer augmented drug-protein matrix for enhancing drug-disease association prediction

K. Plaimas, A. Suratanee, Satanat Kitsiranuwat, 2022, Science progress.

In silico multiple-targets identification for heme detoxification in the human malaria parasite Plasmodium falciparum.

K. Plaimas, C. Lursinsap, Sittiporn Pattaradilokrat, 2016, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

The Protein-Protein Interaction Network of First Episode Psychosis and Schizophrenia Reveals Possible Trigger Factors and New Drug Targets among Intracellular Signal Transduction Pathways and Neurotoxicity Processes

M. Maes, K. Plaimas, C. Noto, 2021 .

Special issue in honour of Prof. Reto J. Strasser - Chlorophyll fluorescence, leaf gas exchange, and genomic analysis of chromosome segment substitution rice lines exposed to drought stress

K. Plaimas, L. Comai, T. Toojinda, 2020 .

First Episode Psychosis and Schizophrenia Are Systemic Neuro-Immune Disorders Triggered by a Biotic Stimulus in Individuals with Reduced Immune Regulation and Neuroprotection

K. Plaimas, C. Noto, A. Suratanee, 2021, Cells.

Modeling the spread of COVID-19 as a consequence of undocumented immigration toward the reduction of daily hospitalization: Case reports from Thailand

K. Plaimas, A. Suratanee, Sittiporn Pattaradilokrat, 2022, PloS one.

Heterogeneous network propagation with forward similarity integration to enhance drug–target association prediction

K. Plaimas, A. Suratanee, Piyanut Tangmanussukum, 2022, PeerJ Comput. Sci..

Heterogeneous Network Propagation with Optimal Similarity Measure for Drug-Target Associations

K. Plaimas, A. Suratanee, Piyanut Tangmanussukum, 2021, 2021 25th International Computer Science and Engineering Conference (ICSEC).

Heterogeneous Network Model to Identify Potential Associations Between Plasmodium vivax and Human Proteins

K. Plaimas, A. Suratanee, 2020, International journal of molecular sciences.

Machine Learning Methods for Identifying Essential Genes and Proteins in Networks

R. König, K. Plaimas, 2011 .

Computational and experimental analysis identified 6-diazo-5-oxonorleucine as a potential agent for treating infection by Plasmodium falciparum.

R. König, S. Fatumo, K. Plaimas, 2013, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Metabolic pathway synthesis based on predicting compound transformable pairs by using neural classifiers with imbalanced data handling

Chidchanok Lursinsap, Kitiporn Plaimas, Sasiporn Tongman, 2017, Expert Syst. Appl..

Comparison between the Transcriptomes of ‘KDML105’ Rice and a Salt-Tolerant Chromosome Segment Substitution Line

K. Plaimas, L. Comai, T. Toojinda, 2019, Genes.

Effects of cannabidiol on activated immune-inflammatory pathways in major depressive patients and healthy controls.

K. Plaimas, A. Suratanee, A. Sughondhabirom, 2022, medRxiv.

In Vitro Effects of Cannabidiol on Activated Immune–Inflammatory Pathways in Major Depressive Patients and Healthy Controls

K. Plaimas, A. Suratanee, A. Sughondhabirom, 2022, Pharmaceuticals.

New Drug Targets to Prevent Death Due to Stroke: A Review Based on Results of Protein-Protein Interaction Network, Enrichment, and Annotation Analyses

M. Maes, K. Plaimas, A. Suratanee, 2021, International journal of molecular sciences.

Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations

Apichat Suratanee, Kitiporn Plaimas, Thitipong Kawichai, 2021, IEEE Access.

OsNucleolin1-L Expression in Arabidopsis Enhances Photosynthesis via Transcriptome Modification under Salt Stress Conditions

K. Plaimas, L. Comai, S. Chadchawan, 2017, Plant & cell physiology.

Drought-Tolerance Gene Identification Using Genome Comparison and Co-Expression Network Analysis of Chromosome Substitution Lines in Rice

K. Plaimas, L. Comai, T. Toojinda, 2020, Genes.

Photosynthetic responses and identification of salt tolerance genes in a chromosome segment substitution line of ‘Khao dawk Mali 105’ rice

K. Plaimas, L. Comai, T. Toojinda, 2018, Environmental and Experimental Botany.

Identifying essential genes in bacterial metabolic networks with machine learning methods

Roland Eils, Rainer König, Kitiporn Plaimas, 2010, BMC Systems Biology.

Adverse childhood trauma and reoccurrence of illness impact the gut microbiome, which affects suicidal behaviors and the phenome of major depression: towards enterotypic-phenotypes

K. Plaimas, A. Suratanee, S. Payungporn, 2023, medRxiv.

Modeling the Spread of COVID-19 with the Control of Mixed Vaccine Types during the Pandemic in Thailand

K. Plaimas, A. Suratanee, Sittiporn Pattaradilokrat, 2023, Tropical medicine and infectious disease.

Network diffusion with centrality measures to identify disease-related genes.

K. Plaimas, A. Suratanee, Panisa Janyasupab, 2021, Mathematical biosciences and engineering : MBE.

Machine learning based analyses on metabolic networks supports high-throughput knockout screens

Marcus Oswald, Roland Eils, Rainer König, 2008, BMC Systems Biology.

Combining Genome and Gene Co-expression Network Analyses for the Identification of Genes Potentially Regulating Salt Tolerance in Rice

K. Plaimas, L. Comai, T. Toojinda, 2021, Frontiers in Plant Science.

Identification of inflammatory bowel disease-related proteins using a reverse k-nearest neighbor search

Apichat Suratanee, Kitiporn Plaimas, K. Plaimas, 2014, J. Bioinform. Comput. Biol..

Hybrid Deep Learning Based on a Heterogeneous Network Profile for Functional Annotations of Plasmodium falciparum Genes

K. Plaimas, A. Suratanee, 2021, International journal of molecular sciences.

Immunopathogenesis and immunogenetic variants in COVID-19.

M. Maes, K. Plaimas, A. Suratanee, 2022, Current pharmaceutical design.

Identifying Antimalarial Drug Targets by Cellular Network Analysis

Rainer König, Kitiporn Plaimas, R. König, 2016 .

Autistic spectrum disorder (ASD) – Gene, molecular and pathway signatures linking systemic inflammation, mitochondrial dysfunction, transsynaptic signalling, and neurodevelopment

K. Plaimas, A. Suratanee, V. Sarafian, 2023, Brain, behavior, & immunity - health.

Transcriptomic analysis of red-spotted grouper nervous necrosis virus infected Asian seabass Lates calcarifer (Bloch, 1790)

K. Plaimas, W. Assavalapsakul, Duncan R. Smith, 2020 .

Identification of Key Genes in ‘Luang Pratahn’, Thai Salt-Tolerant Rice, Based on Time-Course Data and Weighted Co-expression Networks

K. Plaimas, A. Suratanee, L. Comai, 2021, Frontiers in Plant Science.

Prediction of Human-Plasmodium vivax Protein Associations From Heterogeneous Network Structures Based on Machine-Learning Approach

K. Plaimas, A. Suratanee, T. Buaboocha, 2021, Bioinformatics and biology insights.

Network-based association analysis to infer new disease-gene relationships using large-scale protein interactions

K. Plaimas, A. Suratanee, 2018, PloS one.

Gene Association Classification for Autism Spectrum Disorder: Leveraging Gene Embedding and Differential Gene Expression Profiles to Identify Disease-Related Genes

K. Plaimas, A. Suratanee, 2023, Applied Sciences.

Adverse childhood experiences and reoccurrence of illness impact the gut microbiome, which affects suicidal behaviors and the phenome of major depression: towards enterotypic-phenotypes.

K. Plaimas, A. Suratanee, S. Payungporn, 2023, Acta neuropsychiatrica.

Network-based methods with heterogeneous data to identify severe COVID immune-related genes

K. Plaimas, A. Suratanee, Pakorn Sagulkoo, 2022, 2022 26th International Computer Science and Engineering Conference (ICSEC).

Computational Analysis of the Metabolic Network of Microorganisms to Detect Potential Drug Targets

K. Plaimas, 2011 .

ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology

K. Plaimas, A. Suratanee, Thummarat Paklao, 2023, BMC Bioinform..

Novel p16 binding peptide development for p16‐overexpressing cancer cell detection using phage display

K. Plaimas, W. Piyawattanametha, P. Bhattarakosol, 2015, Journal of peptide science : an official publication of the European Peptide Society.

Analysis of Antioxidant Capacity Variation among Thai Holy Basil Cultivars (Ocimum tenuiflorum L.) Using Density-Based Clustering Algorithm

K. Plaimas, A. Suratanee, Panita Chutimanukul, 2023, Horticulturae.