From START to FINISH: computational analysis of cell cycle control in budding yeast P Kraikivski, KC Chen, T Laomettachit, TM Murali, JJ Tyson NPJ Systems Biology and Applications 1 (1), 1-9, 2015 | 74 | 2015 |
Modeling the Dynamic Behavior of Biochemical Regulatory Networks JJ Tyson, T Laomettachit, P Kraikivski Journal of Theoretical Biology, 2018 | 50 | 2018 |
A two-step model of TiO2 nanoparticle toxicity in human liver tissue T Laomettachit, IK Puri, M Liangruksa Toxicology and applied pharmacology 334, 47-54, 2017 | 35 | 2017 |
A Model of Yeast Cell-Cycle Regulation Based on a Standard Component Modeling Strategy for Protein Regulatory Networks T Laomettachit, KC Chen, WT Baumann, JJ Tyson PloS one 11 (5), e0153738, 2016 | 31 | 2016 |
Optimization and model reduction in the high dimensional parameter space of a budding yeast cell cycle model C Oguz, T Laomettachit, KC Chen, LT Watson, WT Baumann, JJ Tyson BMC Systems Biology 7 (1), 53, 2013 | 28 | 2013 |
A model of infection in honeybee colonies with social immunity T Laomettachit, M Liangruksa, T Termsaithong, A Tangthanawatsakul, ... PLOS ONE 16 (2), e0247294, 2021 | 20 | 2021 |
Computational Design of Hypothetical New Peptides Based on a Cyclotide Scaffold as HIV gp120 Inhibitor A Sangphukieo, W Nawae, T Laomettachit, U Supasitthimethee, ... PloS one 10 (10), e0139562, 2015 | 14 | 2015 |
Decision-making in honeybee swarms based on quality and distance information of candidate nest sites T Laomettachit, T Termsaithong, A Sae-Tang, O Duangphakdee Journal of theoretical biology 364, 21-30, 2015 | 14 | 2015 |
A Stochastic Model Correctly Predicts Changes in Budding Yeast Cell Cycle Dynamics upon Periodic Expression of CLN2 C Oguz, A Palmisano, T Laomettachit, LT Watson, WT Baumann, JJ Tyson PLOS ONE 9 (5), e96726, 2014 | 13 | 2014 |
Enhancing gas sensing properties of novel palladium-decorated zinc oxide surface: a first-principles study M Liangruksa, T Laomettachit, C Siriwong Materials Research Express 8 (4), 045004, 2021 | 12 | 2021 |
Construction of Light-Responsive Gene Regulatory Network for Growth, Development and Secondary Metabolite Production in Cordyceps militaris A In-on, R Thananusak, M Ruengjitchatchawalya, W Vongsangnak, ... Biology 11 (1), 71, 2022 | 11 | 2022 |
Mathematical modeling approaches for dynamical analysis of protein regulatory networks with applications to the budding yeast cell cycle and the circadian rhythm in cyanobacteria T Laomettachit Virginia Tech, 2011 | 11 | 2011 |
Photosynthetic protein classification using genome neighborhood-based machine learning feature A Sangphukieo, T Laomettachit, M Ruengjitchatchawalya Scientific Reports 10 (1), 7108, 2020 | 8 | 2020 |
A continuous-time stochastic Boolean model provides a quantitative description of the budding yeast cell cycle T Laomettachit, P Kraikivski, JJ Tyson Scientific Reports 12 (1), 20302, 2022 | 7 | 2022 |
Theoretical study of DNA's deformation and instability subjected to mechanical stress M Liangruksa, T Laomettachit, S Wongwises International Journal of Mechanical Sciences 130, 324-330, 2017 | 7 | 2017 |
Stop-Signaling Reduces Split Decisions without Impairing Accuracy in the Honeybee Nest-Site Selection Process T Laomettachit, T Termsaithong, A Sae-Tang, O Duangphakdee Journal of Insect Behavior 29 (5), 557-577, 2016 | 6 | 2016 |
mSRFR: a machine learning model using microalgal signature features for ncRNA classification S Anuntakarun, S Lertampaiporn, T Laomettachit, W Wattanapornprom, ... BioData Mining 15 (1), 8, 2022 | 4 | 2022 |
Combining Deep Learning and Structural Modeling to Identify Potential Acetylcholinesterase Inhibitors from Hericium erinaceus T Sutthibutpong, K Posansee, M Liangruksa, T Termsaithong, S Piyayotai, ... ACS omega 9 (14), 16311-16321, 2024 | 2 | 2024 |
Combined Deep Learning and Molecular Modeling Techniques on the Virtual Screening of New mTOR Inhibitors from the Thai Mushroom Database K Posansee, M Liangruksa, T Termsaithong, P Saparpakorn, ... ACS omega 8 (41), 38373-38385, 2023 | 2 | 2023 |
Exploring bioactive compounds from Arthrospira platensis related for treatment of Systemic lupus erythematosus using network analysis A Chaiprasert, H Ping, T Laomettachit, M Ruengjitchatchawalya | 2 | 2022 |