NGUYEN, Hoai Viet, Zbynek HEGER, Marketa KOMINKOVA, Petr MICHÁLEK, Jaromír GUMULEC, Roman GURÁŇ, Antonin PRIDAL, Carlos FERNANDEZ, David HYNEK, Vojtěch ADAM and René KIZEK. The Electrochemical and Statistical Evaluation of Isolation of Mellitin and Apamin from Honey Bee (Apis Mellifera) Venom. International Journal of Electrochemical Science. Belgrade: Electrochemical Science Group, 2015, vol. 10, No 2, p. 1249-1260. ISSN 1452-3981.
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Basic information
Original name The Electrochemical and Statistical Evaluation of Isolation of Mellitin and Apamin from Honey Bee (Apis Mellifera) Venom
Authors NGUYEN, Hoai Viet (203 Czech Republic), Zbynek HEGER (203 Czech Republic), Marketa KOMINKOVA (203 Czech Republic), Petr MICHÁLEK (203 Czech Republic), Jaromír GUMULEC (203 Czech Republic, guarantor, belonging to the institution), Roman GURÁŇ (203 Czech Republic), Antonin PRIDAL (203 Czech Republic), Carlos FERNANDEZ (826 United Kingdom of Great Britain and Northern Ireland), David HYNEK (203 Czech Republic), Vojtěch ADAM (203 Czech Republic) and René KIZEK (203 Czech Republic).
Edition International Journal of Electrochemical Science, Belgrade, Electrochemical Science Group, 2015, 1452-3981.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30105 Physiology
Country of publisher Serbia
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 1.692
RIV identification code RIV/00216224:14110/15:00082461
Organization unit Faculty of Medicine
UT WoS 000348365800017
Keywords in English antimicrobial peptides; Apis mellifera; Brdicka reaction; MALDI-TOF; Differential pulse voltammetry
Tags EL OK
Tags International impact, Reviewed
Changed by Changed by: Soňa Böhmová, učo 232884. Changed: 6/8/2015 11:17.
Abstract
We present in this manuscript for the first time the electrochemical and statistical evaluation of FPLC isolation of mellitin and apamin from honey bee (Apis mellifera) venom. Venoms are extremely complex blends of diverse substances that target a myriad of receptors or ion channels. Therefore, toxins, isolated from venomous organisms can be a valuable tool with diverse biological applications. In this study we decided to optimize the purification of honey bee venom by using fast protein liquid chromatography, to obtain biologically active peptide - melittin (2846.46 Da). Due to a presence of other compounds with similar molecular weight (apamin 2027.34 Da), we optimized a differential pulse voltammetry method with adsorptive transfer technique (AdT DPV), utilizing Brdicka supporting electrolyte for measurements. Typical voltammograms - fingerprints for each substance were obtained and numerical projections of voltammograms were employed to propose an artificial neural network. Our suggested neural network can simply predict the content of each peptide in fraction with following performance: 100% for training and 100% for testing.
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