J 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.