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In Silico Study on the Structure of Novel Natural Bioactive Peptides

  • Nevena IlievaEmail author
  • Peicho Petkov
  • Elena Lilkova
  • Tsveta Lazarova
  • Aleksandar Dolashki
  • Lyudmila Velkova
  • Pavlina Dolashka
  • Leandar Litov
Conference paper
  • 81 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11958)

Abstract

Antimicrobial peptides (AMPs) are an abundant and diverse group of molecules produced by many tissues and cell types in a variety of invertebrate, plant and animal species in contact with infectious microorganisms. They play a crucial role as mediators of the primary host defense against microbial invasion. The characteristics, the broad spectrum and largely nonspecific activity of the antimicrobial peptides qualify them as possible candidates for therapeutic alternatives against multi-resistant bacterial strains.

AMPs come in nature in the form of multicomponent secretory fluids that exhibit certain biological activity. For development of biologicals with some predesignated properties separation of the individual components, their purification and activity analysis are needed. In silico experiments are designed to speedup the identification of the active components in these substances, understanding of their structural specifics and biodynamics.

Here we present the first results of a pilot in silico study on the primary structure formation of newly identified in the mucus of molluscs representatives peptides, as a prerequisite for understanding the possible role of complexation for their biological activity.

Keywords

Antimicrobial peptides Mass spectrometry Primary structure Molecular modelling Folding 

Notes

Acknowledgements

This work was supported in part by the Bulgarian Ministry of Education and Science (Grant D01-217/30.11.2018) under the National Research Programme “Innovative Low-Toxic Bioactive Systems for Precision Medicine (BioActiveMed)” approved by DCM # 658/14.09.2018 and by the Bulgarian Science Fund (Grant KP-06-OPR 03-10/2018). Computational resources were provided by the HPC Cluster at the Faculty of Physics at Sofia University “St. Kl. Ohridski”.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute of Information and Communication Technologies at the Bulgarian Academy of SciencesSofiaBulgaria
  2. 2.Institute of Mathematics and Informatics at the Bulgarian Academy of SciencesSofiaBulgaria
  3. 3.Faculty of Physics, Atomic Physics DepartmentSofia University “St. Kliment Ohridski”SofiaBulgaria
  4. 4.Institute of Organic Chemistry with Centre of Phytochemistry at the Bulgarian Academy of SciencesSofiaBulgaria

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