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The discovery of novel antimicrobials has significantly slowed down over the last three decades. At the same time, humans rely increasingly on antimicrobials because of the progressive antimicrobial resistance in medical practices, human communities, and the environment. Data mining is currently considered a promising option in the discovery of new antibiotics. Some of the advantages of data mining are the ability to predict chemical structures from sequence data, anticipation of the presence of novel metabolites, the understanding of gene evolution, and the corroboration of data from multiple omics technologies. This review analyzes the state-of-the-art for data mining in the fields of bacteria, fungi, and plant genomic data, as well as metabologenomics. It also summarizes some of the most recent research accomplishments in the field, all pinpointing to innovation through uncovering and implementing the next generation of antimicrobials. [ABSTRACT FROM AUTHOR]

Chemical investigation of Punctularia atropurpurascens strain HM1 (Punctulariaceae), a corticioid isolated from a decorticated piece of Quercus bark collected in Bosque de Tlalpan, Mexico City, led to the isolation of a new drimane, 1- α -hydroxy-isodrimenine (1) and a new tetrahydroxy kauranol, 16-hydroxy-phlebia- nor -kauranol (2), together with the known N -phenylacetamide (3). Structures of all compounds were elucidated by spectroscopic and spectrometric methods, and the absolute configuration of 1 and 2 was confirmed via single-crystal X-ray crystallography. The isolated compounds showed modest antimycobacterial activity. [ABSTRACT FROM AUTHOR]

The discovery of novel antimicrobials has significantly slowed down over the last three decades. At the same time, humans rely increasingly on antimicrobials because of the progressive antimicrobial resistance in medical practices, human communities, and the environment. Data mining is currently considered a promising option in the discovery of new antibiotics. Some of the advantages of data mining are the ability to predict chemical structures from sequence data, anticipation of the presence of novel metabolites, the understanding of gene evolution, and the corroboration of data from multiple omics technologies. This review analyzes the state-of-the-art for data mining in the fields of bacteria, fungi, and plant genomic data, as well as metabologenomics. It also summarizes some of the most recent research accomplishments in the field, all pinpointing to innovation through uncovering and implementing the next generation of antimicrobials. [ABSTRACT FROM AUTHOR]

Chemical investigation of Punctularia atropurpurascens strain HM1 (Punctulariaceae), a corticioid isolated from a decorticated piece of Quercus bark collected in Bosque de Tlalpan, Mexico City, led to the isolation of a new drimane, 1- α -hydroxy-isodrimenine (1) and a new tetrahydroxy kauranol, 16-hydroxy-phlebia- nor -kauranol (2), together with the known N -phenylacetamide (3). Structures of all compounds were elucidated by spectroscopic and spectrometric methods, and the absolute configuration of 1 and 2 was confirmed via single-crystal X-ray crystallography. The isolated compounds showed modest antimycobacterial activity. [ABSTRACT FROM AUTHOR]