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Molecules (Basel, Switzerland)|April 25, 2020
Target Identification Using Homopharma and Network-Based Methods for Predicting Compounds Against Dengue Virus-Infected CellsKowit Hengphasatporn, Kitiporn Plaimas, Apichat Suratanee, et al.
BMC Systems Biology|May 5, 2010
Identifying essential genes in bacterial metabolic networks with machine learning methodsKitiporn Plaimas, Roland Eils, Rainer König
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|September 1, 2010
Comparing metabolic network models based on genomic and automatically inferred enzyme information from Plasmodium and its human host to define drug targets in silicoSegun Fatumo, Kitiporn Plaimas, Ezekiel Adebiyi, et al.
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|April 26, 2011
Comparing metabolic network models based on genomic and automatically inferred enzyme information from Plasmodium and its human host to define drug targets in silicoSegun Fatumo, Kitiporn Plaimas, Ezekiel Adebiyi, et al.
International Journal of Molecular Sciences|October 26, 2024
Profiling of Key Hub Genes Using a Two-State Weighted Gene Co-Expression Network of 'Jao Khao' Rice under Soil Salinity Stress Based on Time-Series Transcriptome DataPrasit Khunsanit, Kitiporn Plaimas, Supachitra Chadchawan, et al.
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|December 3, 2015
In silico multiple-targets identification for heme detoxification in the human malaria parasite Plasmodium falciparumSuthat Phaiphinit, Sittiporn Pattaradilokrat, Chidchanok Lursinsap, et al.
BMC Systems Biology|July 26, 2008
Machine learning based analyses on metabolic networks supports high-throughput knockout screensKitiporn Plaimas, Jan-Phillip Mallm, Marcus Oswald, et al.
Genes|September 27, 2019
Comparison between the Transcriptomes of 'KDML105' Rice and a Salt-Tolerant Chromosome Segment Substitution LineNopphawitchayaphong Khrueasan, Panita Chutimanukul, Kitiporn Plaimas, et al.
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