In the past decade, a significant increase in interest in bacterial QS is noticed. The discovery of the QS-mediated virulence factor expression in many clinically relevant pathogens raised the idea of QS antagonist production. Blocking QS is now recognized as a viable approach for the development of novel antibiotics. Moreover, the increased antimicrobial resistance, due to e.g. the formation of a biofilm in which the micro-organisms are protected against antimicrobial chemotherapy and the immune system of the host, has called the attention to the QS system. Intriguingly, recent evidence indicates chemical communication not only between bacteria of different species but also between bacteria and host as well.
Gives a structured overview of the quorum-sensing (QS) oligopeptides, describing their microbial origin (species), functionality (method, result and receptor), peptide links and chemical characteristics (3D-structure-derived physicochemical properties). The chemical diversity observed within this group of QS signalling molecules can be used to develop new synthetic bio-active compounds. This database can function as a useful tool to justify peptide choices for evaluating different responses or to study quantitative structure–property relationships (QSPRs) of these QS molecules.
Provides an online database of human milk and dairy-derived bioactive peptides. MBPDB is comprehensive for all bioactive milk peptides regardless of species, protein, or function. This online resource contains extensive search functions based on NCBI protein searches that are absent from other databases. MBPDB can be used to search for a specific peptide sequence (singly or a batch of peptidomics data), protein ID, species, function or any combination of these four options.
A specialized repository of quorum sensing signaling molecules (QSSMs) in prokaryotes. SigMol harbors information on QSSMs pertaining to different quorum sensing signaling systems namely acylated homoserine lactones (AHLs), diketopiperazines (DKPs), 4-hydroxy-2-alkylquinolines (HAQs), diffusible signal factors (DSFs), autoinducer-2 (AI-2) and others. Database contains 1382 entries of 182 unique signaling molecules from 215 organisms. It encompasses biological as well as chemical aspects of signaling molecules. Biological information includes genes, preliminary bioassays, identification assays and applications, while chemical detail comprises of IUPAC name, SMILES and structure.
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