Results 1 to 10 of about 1,940,445 (217)
AcaFinder: Genome Mining for Anti-CRISPR-Associated Genes
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 +2 more sources
Discovery of fungal onoceroid triterpenoids through domainless enzyme-targeted global genome mining
Genomics-guided methodologies have revolutionized the discovery of natural products. However, a major challenge in the field of genome mining is determining how to selectively extract biosynthetic gene clusters (BGCs) for untapped natural products from ...
Jia Tang, Yudai Matsuda
doaj +2 more sources
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
doaj +2 more sources
Genome Mining as New Challenge in Natural Products Discovery
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
doaj +2 more sources
Targeted Large-Scale Genome Mining and Candidate Prioritization for Natural Product Discovery
Large-scale genome-mining analyses have identified an enormous number of cryptic biosynthetic gene clusters (BGCs) as a great source of novel bioactive natural products.
Jessie James Limlingan Malit +2 more
doaj +2 more sources
Micrococcus luteus, also known as M. luteus, is a bacterium that inhabits mucous membranes, human skin, and various environmental sources. It is commonly linked to infections, especially among individuals who have compromised immune systems. M. luteus is
Zabin K. Bagewadi +5 more
semanticscholar +1 more source
Machine Learning-Enabled Genome Mining and Bioactivity Prediction of Natural Products.
Natural products (NPs) produced by microorganisms and plants are a major source of drugs, herbicides, and fungicides. Thanks to recent advances in DNA sequencing, bioinformatics, and genome mining tools, a vast amount of data on NP biosynthesis has been ...
Yujie Yuan, Chengyou Shi, Huimin Zhao
semanticscholar +1 more source
Genome mining unveils a class of ribosomal peptides with two amino termini
The era of inexpensive genome sequencing and improved bioinformatics tools has reenergized the study of natural products, including the ribosomally synthesized and post-translationally modified peptides (RiPPs).
Hengqian Ren +9 more
semanticscholar +1 more source
Microbial genome sequencing has uncovered a myriad of natural products (NPs) that have yet to be explored. Bacteria in the genus Pseudomonas serve as pathogens, plant growth promoters, and therapeutically, industrially, and environmentally important ...
Khorshed Alam +10 more
doaj +1 more source
Metabolome-guided genome mining of RiPP natural products.
Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a chemically diverse class of metabolites. Many RiPPs show potent biological activities that make them attractive starting points for drug development.
Mitja M. Zdouc +2 more
semanticscholar +1 more source

