Scientific supervisor - Corresponding Member of Russian Academy of Science, Professor Sergey S. Goncharov

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Education

• Novosibirsk State University
  
  

  Master Program
  Department of Mechanics and Mathematics
  Study period: fall 2003 – summer 2005
  Honors degree.
  

• Novosibirsk State University
  
  

  BS in Mathematics (2003)
  Department of Mechanics and Mathematics
  Study period: fall 1999 – summer 2003
  Honors degree.

   

  Employment

  • Institute of Discrete Mathematics and Informatics
    

    Ministry of Education of the Russian Federation
    
    Address: 4, Acad. Koptyug prospect, Novosibirsk Russia, 630090
    
    Position: leading engineer
    Charge: Research, Web design, Web administration
    Sept. 2003-present

  • Specialized Teaching and Scientific Center of Novosibirsk State University
    
    

    Address: 6, Pirogova street, Novosibirsk Russia, 630090
    
    Position: junior member of teaching staff
    Course name: Intensive course of informatics
    Charge: teaching assistant
    Aug. – Sept. 2004
    
    Position: junior member of teaching staff
    Course name: Introduction in PROLOG
    Charge: lecturer
    Sept. 2004 – present

  Current Research Projects
  

  Interdisciplinary Integration Project
  Institute of Discrete Mathematics and Computer Science, MERF
  Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences
  Laboratory of Theoretical Genetics
  
  Line of the investigation:
  Modeling of proteins’ evolution. The investigated approach will give an opportunity to solve problems in planning of genetic engineering experiments in the area of molecular protein design. It will also allow to research structural-functional proteins' organization.
  
  My subtask in the project:
  Constructing a logical-probabilistic model determining structure preserving mutations in proteins. Developing of an Expert System’s (ES) part. The ES is to analyze protein's structure and to predict mutations, whose are to change protein’s characteristics in a desirable way.

  At present the problem is biologically and mathematically formulated.
  
  Work is supported by the Russia Federation President’s grant (No. NSH-2112.2003.1). Grant is for the governmental support of the leading scientific schools.
  
  Obtained Results

  I constructed discrete models describing certain class of proteins mutations. Class contains structure preserving mutations only. Modeling was based on the Neural Networks method and KRAB algorithm. There was a comparison of the modeling results for each method made.

  Publications (In English)

  Were published 

  E.E. Vityaev, P.S. Demenkov, Emperical Theory Discovery. - Proceedings of the Conference ‘Probabilistic Ideas in Science and Philosophy’. Novosibirsk , 86-89 September 2003.
  
  P.S. Demenkov, E.Y. Kharlamov. Discrete Modeling of Structure Preserving Mutations in Proteins. Proceedings of the 9-th Asian Logic Conference. Novosibirsk. August 2005. Download (Complete Version) Download (Short Version)
  

  Are being publishing 

  
  

  Conferences (In English)

  Schools

  Moscow Computer Science School 2004 (MCSS'04) ”Mathematics and programming: from theory to practice”. Moscow State University, Microsoft Research (Cambridge).
  Russia, September 2004.

  Web projects
  
  Official website of the Chair of Discrete Mathematics and Computer Science of Novosibirsk State University
  
  Design and administration: Pavel S. Demenkov, Evgeny Y. Kharlamov.
  
  URL: http://www.nsu.ru/dmi