Detailed Information on Publication Record
2015
The Electrochemical and Statistical Evaluation of Isolation of Mellitin and Apamin from Honey Bee (Apis Mellifera) Venom
NGUYEN, Hoai Viet, Zbynek HEGER, Marketa KOMINKOVA, Petr MICHÁLEK, Jaromír GUMULEC et. al.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
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30105 Physiology
Country of publisher
Serbia
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
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
Tags
International impact, Reviewed
Změněno: 6/8/2015 11:17, Soňa Böhmová
Abstract
V originále
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.