A perturbation approach for refining Boolean models of cell cycle regulation.

Autor: Anand Banerjee, Asif Iqbal Rahaman, Alok Mehandale, Pavel Kraikivski

Publikováno v: PLoS ONE, Vol 19, Iss 9, p e0306523 (2024)

Considerable effort is required to build mathematical models of large protein regulatory networks. Utilizing computational algorithms that guide model development can significantly streamline the process and enhance the reliability of the resulting m

Externí odkaz: https://doaj.org/article/c5b29d982e594ca392e200121726bff2

Seeding the Singularity for A.I

Autor: Kraikivski, Pavel

The singularity refers to an idea that once a machine having an artificial intelligence surpassing the human intelligence capacity is created, it will trigger explosive technological and intelligence growth. I propose to test the hypothesis that mach

Externí odkaz: http://arxiv.org/abs/1908.01766

A continuous-time stochastic Boolean model provides a quantitative description of the budding yeast cell cycle

Autor: Teeraphan Laomettachit, Pavel Kraikivski, John J. Tyson

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)

Abstract The cell division cycle is regulated by a complex network of interacting genes and proteins. The control system has been modeled in many ways, from qualitative Boolean switching-networks to quantitative differential equations and highly deta

Externí odkaz: https://doaj.org/article/17cd260a9b87400b80264dfbcb363169

Mathematical Modeling in Systems Biology

Autor: Pavel Kraikivski

Publikováno v: Entropy, Vol 25, Iss 10, p 1380 (2023)

Mathematical modeling is a key tool used in the field of systems biology to determine the mechanisms with which the elements of biological systems interact to produce complex dynamic behavior [...]

Externí odkaz: https://doaj.org/article/186203f9f59b41fa8194675ac2b5d247

Stochastic Boolean model of normal and aberrant cell cycles in budding yeast.

Autor: Taoma K; Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi, Bangkok, 10150, Thailand.; Theoretical and Computational Physics Group, Center of Excellence in Theoretical and Computational Science, King Mongkut's University of Technology Thonburi, Bangkok, 10150, Thailand., Tyson JJ; Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA., Laomettachit T; Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi, Bangkok, 10150, Thailand. teeraphan.lao@kmutt.ac.th.; Theoretical and Computational Physics Group, Center of Excellence in Theoretical and Computational Science, King Mongkut's University of Technology Thonburi, Bangkok, 10150, Thailand. teeraphan.lao@kmutt.ac.th., Kraikivski P; Division of Systems Biology, Academy of Integrated Science, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA. pavelkr@vt.edu.; VT-Center for the Mathematics of Biosystems, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA. pavelkr@vt.edu.

Publikováno v: NPJ systems biology and applications [NPJ Syst Biol Appl] 2024 Oct 18; Vol. 10 (1), pp. 121. Date of Electronic Publication: 2024 Oct 18.