Antimicrobial activity of phenolic compounds identified in wild mushrooms, SAR analysis and docking studies.

AIM AND METHODS: Although the antimicrobial activity of extracts from several mushroom species has been reported, studies with the individual compounds present in that extracts are scarce. Herein, the antimicrobial activity of different phenolic compounds identified and quantified in mushroom species from all over the world was evaluated. Furthermore, a structure-activity relationship (SAR) analysis and molecular docking studies were performed, in order to provide insights into the mechanism of action of potential antimicrobial drugs for resistant micro-organisms. RESULTS: 2,4-Dihydroxybenzoic and protocatechuic acids were the phenolic compounds with higher activity against the majority of Gram-negative and Gram-positive bacteria. Furthermore, phenolic compounds inhibited more MRSA than methicillin-susceptible Staphylococcus aureus. MRSA was inhibited by 2,4-dihydroxybenzoic, vanillic, syringic (MICs = 0.5 mg ml(-1) ) and p-coumaric (MIC = 1 mg ml(-1) ) acids, while these compounds at the same concentrations had no inhibitory effects against methicillin-susceptible Staph. aureus. CONCLUSIONS: The presence of carboxylic acid (COOH), two hydroxyl (OH) groups in para and ortho positions of the benzene ring and also a methoxyl (OCH3 ) group in the meta position seems to be important for anti-MRSA activity. SIGNIFICANCE AND IMPACT OF THE STUDY: Phenolic compounds could be used as antimicrobial agents, namely against some micro-organisms resistant to commercial antibiotics.

Complete genome sequence of the Radiation-Resistant bacterium Rubrobacter radiotolerans RSPS-4.

Rubrobacter radiotolerans strain RSPS-4 is a slightly thermophilic member of the phylum "Actinobacteria" isolated from a hot spring in São Pedro do Sul, Portugal. This aerobic and halotolerant bacterium is also extremely resistant to gamma and UV radiation, which are the main reasons for the interest in sequencing its genome. Here, we present the complete genome sequence of strain RSPS-4 as well as its assembly and annotation. We also compare the gene sequence of this organism with that of the type strain of the species R. radiotolerans isolated from a hot spring in Japan. The genome of strain RSPS-4 comprises one circular chromosome of 2,875,491 bp with a G+C content of 66.91%, and 3 circular plasmids of 190,889 bp, 149,806 bp and 51,047 bp, harboring 3,214 predicted protein coding genes, 46 tRNA genes and a single rRNA operon.

Using molecular docking to investigate the anti-breast cancer activity of low molecular weight compounds present on wild mushrooms.

Mushrooms represent an unlimited source of compounds with anti-tumour and immunostimulating properties, and their intake has been shown to reduce the risk of breast cancer. A large number of low molecular weight (LMW) compounds present in mushrooms have been identified, including phenolic acids, flavonoids, tocopherols, carotenoids, sugars and fatty acids. In order to evaluate which wild mushroom LMW compounds may be involved in anti-breast cancer activity we selected a representative dataset of 43 LMW compounds and performed molecular docking against three known protein targets involved in breast cancer (aromatase, estrone sulfatase and 17ß-HSD-1) using AutoDock4 as docking software. The estimated inhibition constants for all LMW compounds were determined, and the potential structure-activity relationships for the compounds with the best estimated inhibition constants are discussed for each compound family. 4-O-caffeoylquinic, naringin and lycopene stand out as the top-ranked potential inhibitors for aromatase, estrone sulfatase and 17ß-HSD1, respectively, and the 3-D docked conformations for these compounds are discussed in detail. This information provides several interesting starting points for further development of aromatase, estrone sulfatase and 17ß-HSD1 inhibitors.

ChemT, an open-source software for building template-based chemical libraries.

In computational chemistry, vast quantities of compounds are generated, and there is a need for cheminformatic tools to efficiently build chemical compound libraries. Several software tools for drawing and editing compound structures are available, but they lack options for automatic generation of chemical libraries. We have implemented ChemT, an easy-to-use open-source software tool that automates the process of preparing custom-made template-based chemical libraries. ChemT automatically generates three-dimensional chemical libraries by inputting a chemical template and the functional groups of interest. The graphical user interface of ChemT is self-explanatory, and a complete tutorial is provided. Several file formats are accepted by ChemT, and it is possible to filter the generated compounds according to different physicochemical properties. The compounds can be subject to force field minimization, and the resulting three-dimensional structures recorded on commonly used file formats. ChemT may be a valuable tool for investigators interested in using in silico virtual screening tools, such as quantitative structure-activity relationship modelling or molecular docking, in order to prioritize compounds for further chemical synthesis. To demonstrate the usefulness of ChemT, we describe an example based on a thieno[3,2-b]pyridine template. ChemT is available free of charge from our website at http://www.esa.ipb.pt/~ruiabreu/chemt .

A QCAR model for predicting antioxidant activity of wild mushrooms.

Wild mushrooms have been described as sources of natural antioxidants, particularly phenolic compounds. However, many other compounds present in wild mushrooms can also act as antioxidants (reducers), so whole extracts from a wide range of species need to be examined. To gain further knowledge in this area, the relationship between the antioxidant potential (scavenging effect and reducing power) and chemical composition of twenty three samples from seventeen Portuguese wild mushroom species was investigated. A wide range of analytical parameters reported by our research group (including ash, carbohydrates, proteins, fat, monounsaturated fatty acids, polyunsaturated fatty acids, saturated fatty acids, phenolics, flavonoids, ascorbic acid and beta-carotene) were studied and the data were analysed by partial least squares (PLS) regression analysis to allow correlation of all the parameters. Antioxidant activity correlated well with phenolic and flavonoid contents. A QCAR (Quantitative Composition-Activity Relationships) model was constructed, using the PLS method, and its robustness and predictability were verified by internal and external cross-validation methods. Finally, this model proved to be a useful tool in the prediction of mushrooms' reducing power.