Fatima Sapundzhi

Fatima Sapundzhi Cheif Assist. Prof. Fatima Sapundzhi, Ph.D
Academic information
Institution: South-West University “Neofit Rilski”
Faculty: Faculty of Engineering
Department: Communication and Computer Engineering
E-mail: sapundzhi@swu.bg
Research interests: Mathematical and computer models of ligand-receptor interactions, Docking
Key words: Informatics, bioinformatics, ligand-target interactions, computer models, mathematical models
Area: Bioinformatics, informatics
Teaching:
  • IT systems;
  • Optimization algorithms;
  • Algorithms in Graph theory and networks;
Projects participation
Project: Bioinformatics research: protein folding, docking and prediction of biological activity
Participated as: Expert
Location: Blagoevgrad, Bulgaria
Funding organization: National Science Fund, Ministry of Education and Science
Date: from 2014-12-12 to 2017-12-12
Project: Bioinformatical research on the structure and activity of proteins and drug-receptor interactions
Participated as: Expert
Location: Blagoevgrad, Bulgaria
Funding organization: National Science Fund, Ministry of Education and Science DVU 01/197 / 16.12.2008 / DOO2-162
Date: from 2008-12-01 to 2012-06-30
Participation in academic, scientific and educational organizations
Organization: Union of Mathematicians in Bulgaria
Location: Sofia, Bulgaria
Participated as: Member
Description:
Date: from 2013-04-15
Selected publications
Title: Computer modeling of Cannabinoid receptor type 1.
Year: 2018
Type: Article
Description: Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., ITM Web of Conferences, 16, https://doi.org/10.1051/itmconf/20181602008.
Title: Computer modeling of the human cannabinoid receptors.
Year: 2017
Type: Article
Description: Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., Proceedings of international conference on mathematical methods and models in biosciences (Biomath 2017), June 25-30, Skukuza Camp, Kruger Park, South Africa, 4 (1), ISSN 2367-5241.
Title: Modelling the relationship between biological activity of delta-selective enkephalin analogues and docking results by polynomials.
Year: 2017
Type: Article
Description: Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., Bulgarian Chemical Communication, 49, 768-774.
Title: QSAR modelling and molecular docking studies of three models of delta opioid receptor.
Year: 2017
Type: Article
Description: Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., Bulgarian Chemical Communication, 49, Special issue E, 23-30, ISSN: 0324-1130.
Title: Surface Fitting of the Results of Molecular Docking and the Biological Activity of Delta Opioid Selective Enkephalin Analogues.
Year: 2015
Type: Article
Description: Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., Proceedings of 6th International Scientific Conference–FMNS 2015, 10 – 14 June, Volume 1, 104-112, Online ISSN 1314-0272.
Title: Exploring the interactions of enkephalin and dalargin analogues with the mu-opioid receptor.
Year: 2015
Type: Article
Description: Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., Jurnal of Bulgarian Chemical Communication, 47(2), 613-618, (IF=0.349).
Title: Determination of the relationship between the docking studies and the biological activity of δ-selective enkephalin analogues.
Year: 2015
Type: Article
Description: Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., Journal of Computational Methods in Molecular Design, 5(1), 98-108, Online ISSN:2231-3176.
Title: Comparative evaluation of four scoring functions with three models of delta opioid receptor using molecular docking.
Year: 2014
Type: Article
Description: Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., Futuring International Conference Biomath 2014, 22-27 June, Sofia, Bulgaria, Biomath Communications 1 (1), p. 84.
Title: Computer modeling of human delta opioid receptor.
Year: 2013
Type: Article
Description: Dzimbova, T., Sapundzhi, F., Pencheva, N., Milanov, P., Int. J. Bioautomation, 17(1), 5-16, Online ISSN: 1314-2321.