Assoc.Prof.Dr. TEERAPHAN LAOMETTACHIT

Work Affiliations

Strategic Research Themes

Publications

  

  

  

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• ● A cancer sub-population competition model reveals optimal levels of immune response that minimize tumor size; Wimonnat Sukpol, Teeraphan Laomettachit, Anuwat Tangthanawatsakul; 2024; Journal article
• ● A dynamic model for predicting biomass and phycocyanin yields in Arthrospira (Spirulina) platensis: A guidance for effective batch cultivation; Aowtrakool N.; Sopitthummakhun A.; Laomettachit T.; Ruengjitchatchawalya M.; 2024; Journal article
• ● A Graph Convolutional Deep Learning Model for Identifying Potential Aromatase Inhibitors; Teeraphan Laomettachit, Monrudee Liangruksa; 2024; Poster
• ● Boolean modeling of breast cancer signaling pathways uncovers mechanisms of drug synergy; Kittisak Taoma,Marasri Ruengjitchatchawalya,Monrudee Liangruksa , et al.; 2024; Journal article
• ● Combining Deep Learning and Structural Modeling to Identify Potential Acetylcholinesterase Inhibitors from Hericium erinaceus; Sutthibutpong, Thana; Posansee, Kewalin; Liangruksa, et al.; 2024; Journal article
• ● Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles; Srithanyarat, Thanyawee; Taoma, Kittisak; Sutthibutpong, et al.; 2024; Journal article
• ● Investigating pharmacokinetic profiles of Centella asiatica using machine learning and PBPK modelling; Siriwan Pumkathin, Yuranan Hanlumyuang, Worawat Wattanathana, et al.; 2024; Journal article
• ● Light-Exposed Metabolic Responses of Cordyceps militaris through Transcriptome-Integrated Genome-Scale Modeling; Panyawarin Soommat, Nachon Raethong, Ratchaprapa Ruengsang, et al.; 2024; Journal article
• ● Network analysis retrieving bioactive compounds from Spirulina (Arthrospira platensis) and their targets related to systemic lupus erythematosus; Chaiprasert A.; Han P.; Laomettachit T.; Ruengjitchatchawalya M.; 2024; Journal article
• ● Stochastic Boolean model of normal and aberrant cell cycles in budding yeast; Kittisak Taoma, John J. Tyson, Teeraphan Laomettachit, et al.; 2024; Journal article
• ● A deep learning-based approach for identifying new acetylcholinesterase inhibitors from mushroom molecular database for Alzheimer's disease; Thana Sutthibutpong, Kewalin Posansee, Monrudee Liangruksa, et al.; 2023; Poster
• ● Combined Deep Learning and Molecular Modeling Techniques on the Virtual Screening of New mTOR Inhibitors from the Thai Mushroom Database; Kewalin Posansee, Monrudee Liangruksa, Teerasit Termsaithong, et al.; 2023; Journal article
• ● Mathematical Modeling of Proliferation and Apoptosis Pathways in Mammary Epithelial Cells during the Menstrual Cycles; Piyanut Ratphibun, Anuwat Tangthanawatsakul, Teerasit Termsaithong, et al.; 2023; Conference proceedings article
• ● Predicting small molecule bioactivity with machine intelligence; Nutaya Pravalphruekul, Teeraphan Laomettachit, Monrudee Liangruksa, et al.; 2023; Poster
• ● Synthesis and anti-cancer activities of the stereoisomers of cordyceamide A in a skin carcinoma cell line; Suppakorn Netmanee, Satapanawat Sittihan, Teeraphan Laomettachit, et al.; 2023; Conference proceedings article
• ● A Boolean Modeling Framework for Drug Synergy Prediction in Breast Cancer; Kittisak Taoma, Monrudee Liangruksa, Marasri Ruengjitchatchawalya, et al.; 2022; Poster
• ● A continuous-time stochastic Boolean model provides a quantitative description of the budding yeast cell cycle; Teeraphan Laomettachit, Pavel Kraikivski, John J. Tyson; 2022; Journal article
• ● Construction of Light-Responsive Gene Regulatory Network for Growth, Development and Secondary Metabolite Production in Cordyceps militaris; Ammarin In-on, Roypim Thananusak,Marasri Ruengjitchatchawalya, et al.; 2022; Journal article
• ● mSRFR: a machine learning model using microalgal signature features for ncRNA classification; Songtham Anuntakarun, Supatcha Lertampaiporn, Teeraphan Laomettachit, et al.; 2022; Journal article
• ● A model of infection in honeybee colonies with social immunity; Laomettachit T., Liangruksa M., Termsaithong T., et al.; 2021; Journal article

Expertise