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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.

GEB052 model / Glucocorticoid receptor model by Emyr Bakker

Provides a Boolean model for the glucocorticoid receptor (GR) interaction network similar to the p53 interactomes. The GEB052 model consists of 52 nodes connected by 241 logical interactions, and has 64 two-step feedback loops within the model. In this process, nodes represent genes/proteins or inputs (glucocorticoid)/outputs (cell death and inflammation). It provides accurate predictions and indicates potential routes through which glucocorticoid resistance may arise.


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.