Results 231 to 240 of about 72,600 (260)

Using Proteomics to Mine Genome Sequences

Journal of Proteome Research, 2004
We present a method for mining unannotated or annotated genome sequences with proteomic data to identify open reading frames. The region of a genome coding for a protein sequence is identified by using information from the analysis of proteins and peptides with MALDI-TOF mass spectrometry.
Jonathan W, Arthur, Marc R, Wilkins
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Mining bacterial genomes for antimicrobial targets

Molecular Medicine Today, 2000
The elucidation of whole-genome sequences is expected to have a revolutionary impact on the discovery of novel medicines. With the availability of complete genome sequences of more than 30 different species, the field of antimicrobial drug discovery has the opportunity to access a remarkable diversity of genomic information. In this review, I summarize
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Antimicrobials, drug discovery, and genome mining

Applied Microbiology and Biotechnology, 2012
Over the years, antibiotics have provided an effective treatment for a number of microbial diseases. However recently, there has been an increase in resistant microorganisms that have adapted to our current antibiotics. One of the most dangerous pathogens is methicillin-resistant Staphylococcus aureus (MRSA).
R J, Scheffler, S, Colmer, H, Tynan, A L, Demain, V P, Gullo   +4 more
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Repeats in genomic DNA: mining and meaning

Current Opinion in Structural Biology, 1998
For hundreds of millions of years, perhaps from the very beginning of their evolutionary history, eukaryotic cells have been habitats and junkyards for countless generations of transposable elements, preserved in repetitive DNA sequences. Analysis of these sequences, combined with experimental research, reveals a history of complex 'intracellular ...
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The Genomic Data Mine

2006
The genomic data mine represents a fundamental shift from genetics to genomics, essentially from the study of one gene at a time to the study of entire genetic metabolic networks and whole genomes. Experimental laboratory data are deposited into large public repositories and a wealth of computational data mining algorithms and tools are applied to mine
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Text mining in genomics and systems biology

Proceedings of the 2nd international workshop on Data and text mining in bioinformatics, 2008
There is an increasing need of complementing the information available for the analysis of biological systems in Systems Biology and Genomics projects. A need that makes interesting the integration of information directly extracted from textual sources using Information Extraction and Text Mining approaches. My group has been working in developing Text
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Genome mining and prospects for antibiotic discovery

Current Opinion in Microbiology, 2019
Natural products are a rich source of bioactive compounds that have been used successfully in the areas of human health from infectious disease to cancer; however, traditional fermentation-based screening has provided diminishing returns over the last 20-30 years.
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Genome mining for new enediyne antibiotics

Current Opinion in Chemical Biology
Enediyne antibiotics epitomize nature's chemical creativity. They contain intricate molecular architectures that are coupled with potent biological activities involving double-stranded DNA scission. The recent explosion in microbial genome sequences has revealed a large reservoir of novel enediynes. However, while hundreds of enediyne biosynthetic gene
Esther J. Han, Mohammad R. Seyedsayamdost   +1 more
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Genome mining with hypothetical proteins

Natural products are diverse compounds made by many organisms, though bacteria, fungi, and plants are particularly prolific producers. While they have a range of biological roles, bioactive natural products have long been of interest as drug candidates.
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Genome mining and in vivo characterization of triceptides

Triceptides are cyclophane-containing ribosomally synthesized and post-translationally modified peptides (RiPPs) produced by bacteria. The class defining three-residue cyclophane is installed post-translationally by radical SAM enzymes (triceptide synthases) between the aromatic ring of Ω1 and the Cβ of X3 on Ω1-X2-X3 motifs.
Andrew J Y, Yeo, Brandon I, Morinaka
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