Results 1 to 10 of about 72,600 (260)
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 +2 more
exaly +3 more sources
Genome Mining as New Challenge in Natural Products Discovery
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 +2 more
exaly +3 more sources
Automated genome mining for natural products [PDF]
BMC Bioinformatics, 2009 Abstract 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.
Michael H. T. Li +4 more
openaire +5 more sources
Discovery of bacterial terpenoids by genome mining. [PDF]
Methods EnzymolTerpenoid natural products are widely distributed in nature and possess diverse molecular structures that bestow remarkable biological activities. A tremendous number of terpenoids have been isolated from plants and fungi; however, traditional natural product discovery methods currently face challenges in the identification of new terpenoids due to the
Ning W, Rudolf JD.
europepmc +3 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. A review of uncharacterized proteins predicted from genomic sequencing projects shows that a treasure trove of enzyme chemistry ...
Dinh T Nguyen +2 more
exaly +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
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
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
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
Microbiology Spectrum, 2023 The prevalence of superbugs, represented by methicillin-resistant Staphylococcus aureus (MRSA), has become a serious clinical and public safety concern with rising incidence in hospitals.
Xi-Long Feng +11 more
doaj +1 more source