Teeraphan Laomettachit

King Mongkut's University of Technology Thonburi — Thailand

Biochemistry, Genetics and Molecular Biology · Life Sciences

11h-index425citations44works2.62yr avg
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Research Topics

Gene Regulatory Network Analysis(13), Computational Drug Discovery Methods(9), Fungal and yeast genetics research(9), Microbial Metabolic Engineering and Bioproduction(9), Bioinformatics and Genomic Networks(6)

Publications44 total

Inoculation with a rhizobacteria synthetic community enhances sugarcane stress resilience through targeted modulation of plant-microbe interactions
Rhizosphere·2025
Optimizing semi-continuous cultivation of Arthrospira platensis C1 for phycocyanin production using dynamic modeling
Algal Research·2025· 1 cited
Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways
Scientific Reports·2025· 1 citedOpen Access
Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways
2025Open Access
Context-dependent effects of various synthetic communities on the ecological dynamics of sugarcane rhizosphere
Applied Soil Ecology·2025· 4 cited
Enhancing the Prognostic Precision of Unsupervised Lung Cancer Subtyping Using a Network-Assisted Data Mining of Early Mutated Driver Genes
2025
Investigating nanotoxicity: uncovering associations and predictive factors through machine learning analysis of published literature
Environmental Science Nano·2025· 1 cited
Stochastic Boolean model of normal and aberrant cell cycles in budding yeast
npj Systems Biology and Applications·2024· 1 citedOpen Access
A dynamic model for predicting biomass and phycocyanin yields in Arthrospira (Spirulina) platensis: A guidance for effective batch cultivation
Algal Research·2024· 3 cited
A Cancer Subpopulation Competition Model Reveals Optimal Levels of Immune Response that Minimize Tumor Size
Journal of Computational Biology·2024
Network analysis retrieving bioactive compounds from Spirulina (Arthrospira platensis) and their targets related to systemic lupus erythematosus
PLoS ONE·2024· 2 citedOpen Access
Investigating pharmacokinetic profiles of <i>Centella asiatica</i> using machine learning and PBPK modelling
Journal of Biopharmaceutical Statistics·2024· 3 cited
Combining Deep Learning and Structural Modeling to Identify Potential Acetylcholinesterase Inhibitors from <i>Hericium erinaceus</i>
ACS Omega·2024· 10 citedOpen Access
Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles
BioData Mining·2024· 5 citedOpen Access
Boolean modeling of breast cancer signaling pathways uncovers mechanisms of drug synergy
PLoS ONE·2024· 9 citedOpen Access
Light-Exposed Metabolic Responses of Cordyceps militaris through Transcriptome-Integrated Genome-Scale Modeling
Biology·2024· 5 citedOpen Access
Normal and Aberrant Cell Cycles Characterized by a Continuous-Time Stochastic Boolean Model of Cell Cycle Regulation in Budding Yeast
2024Open Access
Combined Deep Learning and Molecular Modeling Techniques on the Virtual Screening of New mTOR Inhibitors from the Thai Mushroom Database
ACS Omega·2023· 8 citedOpen Access
A continuous-time stochastic Boolean model provides a quantitative description of the budding yeast cell cycle
Scientific Reports·2022· 12 citedOpen Access
A continuous-time stochastic Boolean model provides a quantitative description of the budding yeast cell cycle
Research Square (Research Square)·2022· 2 citedOpen Access
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Frequent Co-authors

Marasri Ruengjitchatchawalya(15), Monrudee Liangruksa(14), John J. Tyson(9), Teerasit Termsaithong(7), Pavel Kraikivski(6), Kittisak Taoma(6), Apiwat Sangphukieo(5), Thana Sutthibutpong(5), Kanthida Kusonmano(4), Katherine Chen(3), William T. Baumann(3), Orawan Duangphakdee(3), Cihan Oguz(2), Anuwat Tangthanawatsakul(2), Roypim Thananusak(2), Wanwipa Vongsangnak(2), Anuwat Sae-Tang(2), Kewalin Posansee(2), Patchreenart Saparpakorn(2), Supa Hannongbua(2)