Results 11 to 20 of about 1,940,445 (217)
Genome mining strategies for metallophore discovery.
Current Opinion in Biotechnology, 2022 Many bacteria use small-molecule chelators called metallophores to acquire trace metals from their environment. These molecules play a central role in interactions between bacteria, plants, and animals.
Zachary L. Reitz, M. Medema
semanticscholar +4 more sources
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
doaj +4 more sources
Genome Mining for New Enzyme Chemistry
ACS CatalysisA revolution in the field of biocatalysis has enabled scalable access to compounds of high societal values using enzymes. The construction of biocatalytic routes relies on the reservoir of available enzymatic transformations.
Dinh T. Nguyen +2 more
semanticscholar +3 more sources
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
core +4 more sources
Genome mining for unknown–unknown natural products
Nature Chemical Biology, 2023 Genome mining of biosynthetic pathways with no identifiable core enzymes can lead to discovery of the so-called unknown (biosynthetic route)-unknown (molecular structure) natural products. In this work, we focused on a conserved fungal biosynthetic pathway (ank) that lacks a canonical core enzyme, and used heterologous expression to identify the ...
Danielle A. Yee +5 more
semanticscholar +5 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
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
openaire +2 more sources
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
Mining the draft human genome [PDF]
Nature, 2001 Now that the draft human genome sequence is available, everyone wants to be able to use it. However, we have perhaps become complacent about our ability to turn new genomes into lists of genes. The higher volume of data associated with a larger genome is accompanied by a much greater increase in complexity.
Birney, E +3 more
openaire +3 more sources
Effect of surface grain boundary density on preosteoblast proliferation on titanium
Materials Research Letters, 2020 Studies since 2004 have shown that the cytocompatibility of ultrafine grain (UG) commercial purity (CP) titanium exceeds that of coarse grain (CG) CP titanium (Ti) by 30% to 20-fold.
Terry C. Lowe +5 more
doaj +1 more source