Enterohemorrhagic Escherichia coli (EHEC) which belong to serotypes O157:H7 and O157:NM (nonmotile) and several non-O157 serotypes cause diarrhea and hemolytic uremic syndrome in humans. Routine diagnostics performed by the HUS Laboratory at University Münster include isolation and cultivation of EHEC from stool specimens, food, water using immunomagnetic separation, colony immunoblot, and PCR targeting different toxins and other virulence determinants. ... [Information of the supplier, modified]
Database of Bacterial ExoToxins for Human (DBETH) is a database of sequences, structures, interaction networks and analytical results for 229 exotoxins, from 26 different human pathogenic bacterial genus. All toxins are classified into 24 different Toxin classes. The aim of DBETH is to provide a comprehensive database for human pathogenic bacterial exotoxins. DBETH also provides a platform to its users to identify potential exotoxin like sequences through Homology based as well as Non-homology based methods. In homology based approach the users can identify potential exotoxin like sequences either running BLASTp against the toxin sequences or by running HMMER against toxin domains identified by DBETH from human pathogenic bacterial exotoxins. In Non-homology based part DBETH uses a machine learning approach to identify potential exotoxins (Toxin Prediction by Support Vector Machine based approach). ... [Information of the supplier]
Antimicrobial peptides, also referred to as host defense peptides or "alarmins", have been identified in nearly all life forms, ranging from bacteria, fungi, plants, insects, amphibians, to mammals, including humans. As the key component of the innate immunity, these ancient peptides effectively eliminate invanding microbes such as bacteria, viruses, fungi, and parasites. It is commonly believed that cationic antimicrobial peptides exert their effects via attacking anionic bacterial membranes. Currently, there is high interest worldwide in this topic with a goal of understanding the mechanism of action and developing natural antimicrobial peptides into a new generation of antibiotics. To promote the research, education, and information exchange in the field, we have created this antimicrobial peptide database and data analysis system. The data stored in APD2 were gleaned from the Protein Data Bank (PDB), Swiss-Prot Protein Knowledgebase and PubMed National Library of Medicine. The peptides in this database are in the mature and active form and primarily from natural sources ranging from bacteria, plants, insects, to animals. ... [Information of the supplier]