Results 11 to 20 of about 176,908 (324)
Genome Mining as New Challenge in Natural Products Discovery [PDF]
Marine Drugs, 2020 Drug discovery is based on bioactivity screening of natural sources, traditionally represented by bacteria fungi and plants. Bioactive natural products and their secondary metabolites have represented the main source for new therapeutic agents, used as ...
Luisa Albarano +3 more
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Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining [PDF]
, 2007 Cis-acting transcriptional regulatory elements in mammalian genomes typically contain specific combinations of binding sites for various transcription factors. Although some cisregulatory elements have been well studied, the combinations of transcription
Xochitl C. Morgan +3 more
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Automated genome mining for natural products [PDF]
BMC Bioinformatics, 2009 Background Discovery of new medicinal agents from natural sources has largely been an adventitious process based on screening of plant and microbial extracts combined with bioassay-guided identification and natural product structure elucidation ...
Zajkowski James +4 more
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Genome mining for methanobactins [PDF]
BMC Biology, 2013 Methanobactins (Mbns) are a family of copper-binding natural products involved in copper uptake by methanotrophic bacteria. The few Mbns that have been structurally characterized feature copper coordination by two nitrogen-containing heterocycles next to thioamide groups embedded in a peptidic backbone of varying composition.
Kenney, Grace E, Rosenzweig, Amy C
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Genome Mining of Fungal Aza-Polycyclic Natural Products Derived from Arginine-Containing Cyclodipeptides. [PDF]
J Nat ProdNiwa K +7 more
europepmc +3 more sources
Clinics in Laboratory Medicine, 2008 This article reviews important emerging statistical concepts, data mining techniques, and applications that have been recently developed and used for genomic data analysis. First, general background and some critical issues in genomic data mining are summarized.
Jae K, Lee +2 more
openaire +2 more sources
AcaFinder: Genome Mining for Anti-CRISPR-Associated Genes
mSystems, 2022 Anti-CRISPR (Acr) proteins are encoded by (pro)viruses to inhibit their host’s CRISPR-Cas systems. Genes encoding Acr and Aca (Acr associated) proteins often colocalize to form acr-aca operons.
Bowen Yang, Jinfang Zheng, Yanbin Yin
doaj +1 more source
Computational and Structural Biotechnology Journal, 2020 Streptomyces are a large and valuable resource of bioactive and complex secondary metabolites, many of which have important clinical applications. With the advances in high throughput genome sequencing methods, various in silico genome mining strategies ...
Namil Lee +5 more
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DGIdb: mining the druggable genome [PDF]
Nature Methods, 2013 The Drug-Gene Interaction database (DGIdb) mines existing resources that generate hypotheses about how mutated genes might be targeted therapeutically or prioritized for drug development. It provides an interface for searching lists of genes against a compendium of drug-gene interactions and potentially 'druggable' genes. DGIdb can be accessed at http:/
Malachi Griffith +22 more
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Genome mining of Streptomyces ambofaciens [PDF]
Journal of Industrial Microbiology and Biotechnology, 2014 Abstract Since the discovery of the streptomycin produced by Streptomyces griseus in the middle of the last century, members of this bacterial genus have been largely exploited for the production of secondary metabolites with wide uses in medicine and in agriculture. They have even been recognized as one of the most prolific producers of
Aigle, Bertrand +6 more
openaire +5 more sources