T. Laomettachit, Ph.D.

Hi, my name is Teeraphan Laomettachit.

I am an assistant professor at Bioinformatics & Systems Biology Program, King Mongkut's University of Technology Thonburi, THAILAND.

Scholarships available


3-year PhD position
with FULL Scholarship

  • Research Topic
    Modeling Nano-TiO2 Hepatotoxic Response Mediated by Intracellular Signaling Pathways

  • Qualification
    Graduated with an MSc degree

  • 25,000 THB monthly allowance
    for 36 months
    +
    Tuition fee waived
    for 3 years

  • Availability
    Now
    Contact me immediately at teeraphan.lao[at]mail.kmutt.ac.th

5-year PhD position
with FULL Scholarship

  • Research Topic
    Modeling Nano-TiO2 Hepatotoxic Response Mediated by Intracellular Signaling Pathways

  • Qualification
    Graduated with a BSc degree

  • 25,000 THB monthly allowance
    for 60 months
    +
    Tuition fee waived
    for 5 years

  • Availability
    Now
    Contact me immediately at teeraphan.lao[at]mail.kmutt.ac.th

Research

Reconstruction & Modeling of Protein/Gene Regulatory Networks

Understanding how protein/gene regulatory networks respond to enviromental signals through mathematical modeling.

Mathematical Modeling of Collective Decision-making in Social Insects

Studying how simple interactions between components (e.g., bees) at the individual level give rise to complex macroscopic behaviors of the system (e.g., collective decision-making).

Systems Biology of Photosynthesis

With the global food and energy crises, systems biology and mathematical modeling will play a major role to understand the complex process of photosynthesis and how the process can be engineered with the aim to increase photosynthetic efficiency.

Publications

2019

Tyson JJ, Laomettachit T, Kraikivski P (2019) Modeling the Dynamic Behavior of Biochemical Regulatory Networks. Journal of Theoretical Biology, 462: 514–527. link

2017

Laomettachit T, Puri IK, Liangruksa M (2017) A Two-step Model of TiO2 Nanoparticle Toxicity in Human Liver Tissue. Toxicology and Applied Pharmacology, 334: 47–54. link

Liangruksa M, Laomettachit T, Wongwises S (2017) Theoretical study of DNA's deformation and instability subjected to mechanical stress. International Journal of Mechanical Sciences, 130:324-330. link

2016

Laomettachit T*, Termsaithong T, Sae-Tang A, Duangphakdee O (2016). Stop-Signaling Reduces Split Decisions without Impairing Accuracy in the Honeybee Nest-Site Selection Process. Journal of Insect Behavior, 29: 557-577. link

Laomettachit T, Chen KC, Baumann WT, Tyson JJ (2016). A Model of Yeast Cell-Cycle Regulation Based on a Standard Component Modeling Strategy for Protein Regulatory Networks. PLoS ONE, 11:5, e0153738. link

2015

Kraikivski P, Chen KC, Laomettachit T, Murali TM, Tyson JJ (2015). From START to FINISH: Computational Analysis of Cell Cycle Control in Budding Yeast. npj Systems Biology and Applications. 1:15016. link

Sangphukieo A, Nawae W, Laomettachit T, Supasitthimethee U, Ruengjitchatchawalya M (2015). Computational Design of Hypothetical New Peptides Based on a Cyclotide Scaffold as HIV gp120 Inhibitor. PLoS ONE, 10:10, e0139562. link

Laomettachit T*, Termsaithong T, Sae-Tang A, Duangphakdee O (2015). Decision-making in Honeybee Swarms based on Quality and Distance Information of Candidate Nest Sites. Journal of Theoretical Biology, 364: 21-30. link

2014

Oguz C, Palmisano A, Laomettachit T, Watson LT, Baumann WT, Tyson JJ (2014). A Stochastic Model Correctly Predicts Changes in Budding Yeast Cell Cycle Dynamics upon Periodic Expression of CLN2. PLoS ONE, 9(5): e96726. link

2013

Oguz C, Laomettachit T, Chen KC, Watson, LT, Baumann WT, Tyson JJ (2013). Optimization and model reduction in the high dimensional parameter space of a budding yeast cell cycle model. BMC systems biology, 7: 53. link