Избрани публикации

  1. Traykov, M., Yanev, N., Mavrevski, R., Yurukov, B., 2018. Algorithm for protein folding problem in 3D lattice HP model. International Journal of Biology and Biomedicine, Vol. 3, pp. 16-21, ISSN: 2367-9085.
  2. Milanov, P., Koroleova, G., Mavrevski, R., Pencheva, N., 2018. Curve fitting problem: torque– velocity relationship with polynomials and boltzmann sigmoid functions. Acta of Bioengineering and Biomechanics (In Press).
  3. Yanev, N., Traykov, M., Milanov, P., Yurukov, B., 2018. A new classifier for protein fold class recognition, C. R. Acad. Bulg. Sci., (In Press).
  4. Mavrevski, R., Milanov, P., Traykov, M., Pencheva, N., 2018. Performance comparison of model selection criteria by generated experimental data. ITM Web of Conferences, Vol. 16, https://doi.org/10.1051/itmconf/20181602006.
  5. Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., 2018. Computer modeling of Cannabinoid receptor type 1. ITM Web of Conferences, Vol. 16, https://doi.org/10.1051/itmconf/20181602008.
  6. Stoilov, A., Yurukov, B., Milanov, P. 2018. Analysis of docking algorithms by HPC methods generated in bioinformatics studies. ITM Web of Conferences, Vol. 16, 2018, https://doi.org/10.1051/itmconf/20181602009.
  7. Mavrevski, R., Milanov, P., Traykov, M., Pencheva, N., 2018. Assessment of different model selection criteria by generated experimental data. WSEAS Transactions on Computers, Vol. 16, pp. 260-268, ISSN:2224-2872.
  8. Yanev, N., Traykov, M., Milanov, P., Yurukov, B., 2017. Protein folding prediction in a cubic lattice in hydrophobic-polar model. Journal of Computational Biology, vol. 24(5), pp. 412-421.
  9. Sapundzhi F., Dzimbova T., Pencheva N., Milanov P., 2016. Comparative evaluation of four scoring functions with three models of delta opioid receptor using molecular docking. Jurnal Der Pharma Chemica, vol. 8(11), pp. 118-124.
  10. Milanov P., Pencheva N., Sapundzhi F., 2016. Quantitative analysis and mathematical models of a partial agonism. Jurnal Biomath Communications, Vol. 3 (1), p. 47.
  11. Mavrevski, Milanov P., Yurukov B., 2016. Comparison and assessment of commonly used model selection criteria in modeling of experimental data. Jurnal Biomath Communications, Vol. 3(1), p. 46.
  12. Koroleova G., Pencheva N., Milanov P., Stefanov S., 2016. Mathematical Models Of Torque-Velocity Relation. Jurnal Biomath Communications, Vol. 3(1), p. 39.
  13. Pencheva N., Koroleova.G., Kanelov I,, Milanov P., 2016. The Biomechanical Relevance of the Mathematical Models of Torque-Angle and Torque-Velocity Relationships. Jurnal Biomath Communications, Vol. 3(1), p. 55.
  14. Traykov, M., Yanev, N., Milanov, P., 2016. Protein folding prediction in 3D cubic lattice in HP model. Jurnal Biomath Communications, Vol. 3(1), p.61.
  15. Sapundzhi F., Dzimbova T., Pencheva N., Milanov P., 2016. QSAR modelling and molecular docking studies of three models of delta opioid receptor. Proceedings of 7th Bulgarian Peptide Symposium, 10-12 June 2016, Vol. 3(1), p. 89, Blagoevgrad, Bulgaria.
  16. Sapundzhi F., Dzimbova T., Pencheva N., Milanov P., 2015. Determination of the relationship between the docking studies and the biological activity of δ-selective enkephalin analogues. Journal of Computational Methods in Molecular Design, Vol. 5(1), pp. 98-108, Online ISSN:2231-3176.
  17. Sapundzhi F., Dzimbova T., Pencheva N., Milanov P., 2015. Exploring the interactions of enkephalin and dalargin analogues with the mu-opioid receptor. Bulgarian chemical communications, Vol. 47(2), pp. 613-618.
  18. Sapundzhi F., Dzimbova T., Pencheva N., Milanov P., 2015.  Surface Fitting of the Results of Molecular Docking and the Biological Activity of Delta Opioid Selective Enkephalin Analogues, Proceedings of the Sixth International Scientific Conference–FMNS 2015, pp. 104-112, 10-14.06.2015 Blagoevgrad, Bulgaria, .
  19. Sapundzhi F., Dzimbova T., Pencheva N., Milanov P., 2014. GOLD scoring functions comparison to establish the relationship structure-biological action. Peptides 2014: Proceedings of the 33rd European Peptide Symposium (EPS), Emilia Naydenova and Tamara Pajpanova (Editors), pp. 376-377.
  20. Sapundzhi F., Dzimbova T., Pencheva N., Milanov P., 2014. GOLD scoring functions comparison to establish the relationship structure – biological action. Journal of Peptide Science, Vol. 20, Issue S1, September 2014, p. 294, Online ISSN: 1099-1387.
  21. Sapundzhi F., Dzimbova T., Pencheva N., Milanov P., 2014. Comparative Evolution of four Scoring Functions with Three Models of Delta Opioid Receptor Using Molecular Docking. Biomath Communications, Vol. 1(1), p. 84.
  22. Dzimbova T., Sapundzhi F., Pencheva N., Milanov P., 2013. Computer Modeling of Human Delta Opioid Receptor. Int. J. Bioautomation, Vol. 17, pp. 5-16.
  23. Dzimbova T., Milanov P., Pajpanova T., 2013. Long-Lasting Effects of Oxy- and Sulfoanalogues of L-Arginine on Enzyme Actions. Journal of Amino Acids, Vol. 2013 (2013), ISSN: 2090-0112 (Online).
  24. Dzimbova T., Milanov P., Pajpanova T., 2013. An explanation of the cytotoxic potential of arginine mimetics containing sulfo- and oxy- groups in their side chains. Journal of Computational Methods in Molecular Design, Vol. 3, pp. 10-18.

ИЗБРАНИ ПУБЛИКАЦИИ НА НАУЧНИ КОНФЕРЕНЦИИ

  1. Milanov, P., Pencheva, N., Sapundzhi, F., 2016. Quantitative analysis and mathematical models of a partial agonism. International Conference on Mathematical Methods and Models in Biosciences (Biomath 2016), 19-25 June 2016, Blagoevgrad, Bulgaria.
  2. Mavrevski, R., Milanov, P., Yurukov, B., 2016. Comparison and assessment of commonly used model selection criteria in modeling of experimental data. International Conference on Mathematical Methods and Models in Biosciences (Biomath 2016), 19-25 June 2016, Blagoevgrad, Bulgaria.
  3. Koroleova, G., Pencheva, N., Milanov, P., Stefanov, S., 2016. Mathematical Models Of Torque-Velocity Relation. International Conference on Mathematical Methods and Models in Biosciences (Biomath 2016), 19-25 June 2016, Blagoevgrad, Bulgaria.
  4. Pencheva, N., Koroleova., G., Kanelov, I., Milanov, P., 2016. The Biomechanical Relevance of the Mathematical Models of Torque-Angle and Torque-Velocity Relationships. International Conference on Mathematical Methods and Models in Biosciences (Biomath 2016), 19-25 June 2016, Blagoevgrad, Bulgaria.
  5. Traykov, M., Yanev, N., Milanov, P., 2016. Protein folding prediction in 3D cubic lattice in HP model. International Conference on Mathematical Methods and Models in Biosciences (Biomath 2016), 19-25 June 2016, Blagoevgrad, Bulgaria.
  6. Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., 2016. QSAR modelling and molecular docking studies of three models of delta opioid receptor. Seventh Bulgarian Peptide Symposium, 10-12 June 2016, Blagoevgrad, Bulgaria.
  7. Yanev, N., Milanov, P., Yurukov, B., Mavrevski, R., Stoilov, A., 2015. Measurements for molecular docking in virtual screening. MMSC 2015: Workshop on Mathematical Modelling and Scientific Computing, 09-11 December 2015, Velingrad, Bulgaria.
  8. Milanov, P., Sapundzhi, F., Pencheva, N., 2015. Mathematical models of pharmacological agonism. MMSC 2015: Workshop on Mathematical Modelling and Scientific Computing, 09-11 December 2015, Velingrad, Bulgaria.
  9. Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., 2015.  Determination of the relationship between the docking studies and the biological activity of δ-selective enkephalin analogues. International congress on Mathematics (MICOM 2015),  22-26 September 2015, Athens, Greece.
  10. Yanev, N., Milanov, P., Yurukov, B., Trenchev, I., Traykov, M., 2015.  Heuristic algorithm for HP folding in HP model. International congress on Mathematics (MICOM 2015), 22-26 September 2015, Athens, Greece.
  11. Milanov, P., Trenchev, I., Mirchev, I., Yurukov, B., 2015. Investigation of “optimal” properties of the contemporary genetic codes according to simple mutation. International congress on Mathematics (MICOM 2015), 22-26 September 2015, Athens, Greece.
  12. Mavrevski, R., Koroleova, G., Pencheva, N., Milanov, P., Yurukov, B., 2015. Investigation The Hausdorff distance as a criterion for the optimal model selection in torqueangle relationships. International congress on Mathematics (MICOM 2015), 22-26 September 2015, Athens, Greece.
  13. Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., 2015.  Surface Fitting of the Results of Molecular Docking and the Biological Activity of Delta Opioid Selective Enkephalin Analogues. Sixth International Scientific Conference–FMNS 2015, 10-14 June 2015, Blagoevgrad, Bulgaria.
  14. Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., 2015. Modeling the Relationship between Biological Activity of Delta-selective Enkephalin Analogues and Docking Results by Polynomials. International Conference on Mathematical Methods and Models in Biosciences (Biomath 2015), 14-19 June 2015, Blagoevgrad, Bulgaria.
  15. Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., 2014. GOLD scoring functions comparison to establish the relationship structure-biological action. 33rd European Peptide Symposium, 31.08–05.09 2014, Sofia, Bulgaria.
  16. Sapundzhi, F., Dzimbova, T., Pencheva, N., Milanov, P., 2014. Comparative Evolution of four Scoring Functions with Three Models of Delta Opioid Receptor Using Molecular Docking. International Conference on Mathematical Methods and Models in Biosciences (Biomath 2014), 22-27 June 2014, Blagoevgrad, Bulgaria.
  17. Dzimbova, T., Milanov, P., Pajpanova, T., 2013. Exploring the Interactions of Novel RGD Analogues with Integrin by Docking Studies. CEEPUS International Symposium and Summer School on Bioanalysis, 01-07 July, 2013, Debrecen, Hungary.