TITLE

Modeling of intracellular processes using active charged particles

AUTHOR(S)
Biletskyy, B.; Gupal, A.
PUB. DATE
July 2012
SOURCE
Cybernetics & Systems Analysis;Jul2012, Vol. 48 Issue 4, p532
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
A new method to model intracellular reactions coordinated by proteins is discussed. Proteins are described using locally interacting charged particles. The interaction is defined algorithmically, which allows disregarding the physical nature of protein activity in the analysis of the processes. Based on the proposed approach, a modeling software environment was developed and used as an example to analyze the process of formation of the hydrophobic core of a protein globule in water.
ACCESSION #
79824076

 

Related Articles

  • SUSTAPARK: An Agent-based Model for Simulating Parking Search. Steenberghen, Thérèse; Dieussaert, Karel; Maerivoet, Sven; Spitaels, Karel // Journal of the Urban & Regional Information Systems Association;2012, Vol. 24 Issue 1, p63 

    SUSTAPARK is an agent-based model (ABM) used to simulate the local parking and traffic situation under different parking-management conditions. In the simulation, each car driver has an activity schedule throughout the day, moving on the network for various purposes toward different locations....

  • Research on Building Crowd evacuation Model Based on Multi-Agent particle swarm optimization algorithm. Deng Xuefeng // Journal of Convergence Information Technology;Feb2013, Vol. 8 Issue 4, p1 

    Due to differences in individual abilities and unpredictability of individual behavior of building crowd on the scene of the fire, the research on building crowd safety evacuation model has always been a difficulty in the field of building fire. In order to carry out the real simulation of...

  • IMPACT OF SOLUTE MOLECULAR PROPERTIES ON THE ORGANIZATION OF NEARBY WATER: A CELLULAR AUTOMATA MODEL. Mihaia, C.; Velea, A.; Roman, N.; Tugulea, L.; Moldovand, N. I. // Digest Journal of Nanomaterials & Biostructures (DJNB);Apr-Jun2012, Vol. 7 Issue 2, p469 

    The goal of this study was the creation of a model to help understanding how solute's properties influence the structure of nearby water. To this end, we used a two-dimensional cellular automaton model of aqueous solutions. The probabilities of translocation of water and solute molecules to...

  • Modeling an Innovation Ecosystem with Adaptive Agents. Engler, Joseph; Kusiak, Andrew // International Journal of Innovation Science;Jun2011, Vol. 3 Issue 2, p55 

    Agent-based modeling has proven effective in increasing the understanding of complex systems, including social-economical systems. Agoal of modeling complex systems is to distill the system into simple agents with phenotypes guided by simple rules. The model then displays the emergent behavior...

  • Multi-Agents Model of Active Defense Mode with Immunization Vaccination in Unconventional Emergencies Management. Fan Yang; Qing Yang // International Journal of Advancements in Computing Technology;Oct2012, Vol. 4 Issue 19, p607 

    Using the complex system of cellular automata theory and multi-agents theory, this paper studies the generation and evolution mechanism of unconventional emergencies and then establishes and simulates the multi-agents model of active defense vaccination mode for emergency. The results of the...

  • A Poisson Process Hidden Markov Cellular Automata Model in Earthquake Genesis and Conflict Analysis: A Physical Approach. Kumar Dutta, Pushan; Mishra, O. P.; Kanti Naskar, Mrinal // Journal of Seismology & Earthquake Engineering;2012, Vol. 14 Issue 2, p81 

    All large-scale events, like natural disasters and conflict mechanisms follow certain endogenous and exogenous interactions, which are still unclear to geoscientists by normal surface observations. It has been established that complex scale analysis provides a direct insight into the precursory...

  • A Poisson Process Hidden Markov Cellular Automata Model in Earthquake Genesis and Conflict Analysis: A Physical Approach. Kumar Dutta, Pushan; Mishra, O. P.; Kanti Naskar, Mrinal // Journal of Seismology & Earthquake Engineering;2012, Vol. 14 Issue 2, p81 

    All large-scale events, like natural disasters and conflict mechanisms follow certain endogenous and exogenous interactions, which are still unclear to geoscientists by normal surface observations. It has been established that complex scale analysis provides a direct insight into the precursory...

  • PROBABILISTIC CELLULAR AUTOMATA, INVARIANT MEASURES, AND PERFECT SAMPLING. BUŠIĆ, ANA; MAIRESSE, JEAN; MARCOVICI, IRÈNE // Advances in Applied Probability;Dec2013, Vol. 45 Issue 4, p960 

    A probabilistic cellular automaton (PCA) can be viewed as a Markov chain. The cells are updated synchronously and independently, according to a distribution depending on a finite neighborhood. We investigate the ergodicity of this Markov chain. A classical cellular automaton is a particular case...

  • Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China. Yuanyuan Yang; Shuwen Zhang; Jiuchun Yang; Xiaoshi Xing; Dongyan Wang // Energies (19961073);2015, Vol. 8 Issue 5, p3882 

    Decadal to centennial land use and land cover change has been consistently singled out as a key element and an important driver of global environmental change, playing an essential role in balancing energy use. Understanding long-term human-environment interactions requires historical...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sign out of this library

Other Topics