Molecular Biology Reports, Год журнала: 2024, Номер 51(1)
Опубликована: Окт. 26, 2024
Язык: Английский
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 29 - 51
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Current Opinion in Food Science, Год журнала: 2024, Номер 56, С. 101125 - 101125
Опубликована: Янв. 11, 2024
Язык: Английский
Процитировано
3
International Journal For Multidisciplinary Research, Год журнала: 2024, Номер 6(1)
Опубликована: Фев. 22, 2024
A new era in the analysis of biological data has been sparked by revolutionary development processing speed and memory capacity. With sequencing hundreds microbial numerous eukaryotic genomes—including a clearer draft human genome—better control over microbes is anticipated. The objectives are very high include creation sensible medications antimicrobial agents, novel, improved bacterial strains for bioremediation pollution control, more effective vaccines that simple to administer, protein biomarkers variety diseases, deeper comprehension interactions between hosts bacteria prevent infections. Bioinformatics research currently being conducted on basis Genomics, Proteomics, cell visualization application drugs agents. main contributions bioinformatics automated genome sequencing, integrated genomics proteomics databases, comparisons determine function genome, metabolic pathway derivation, gene expression regulatory pathways, statistical technique development, mining clustering techniques protein-protein protein-DNA interactions, modeling 3D structure docking proteins biochemicals rational drug design, differences pathogenic non-pathogenic identify candidate genes anti-microbial
Язык: Английский
Процитировано
2
Опубликована: Апрель 10, 2024
Utilizing bioinformatics tools, this study expands our understanding of secondary metabolism in Botrytis cinerea, identifying novel genes within polyketide synthase (PKS), non-ribosomal peptide synthetase (NRPS), sesquiterpene cyclase (STC), diterpene (DTC), and dimethylal-lyltryptophan (DMATS) families. These findings enrich the genetic framework associ-ated with B. cinerea's pathogenicity ecological adaptation, offering insights into uncharted metabolic pathways. Significantly, discovery previously unannotated provides new molecular targets for developing targeted antifungal strategies, promising to enhance crop pro-tection advance fungal biochemistry. This research not only broadens scope known metabolites but also opens avenues future exploration biosynthetic capabilities, potentially leading compounds. Our work underscores importance integrating genomics research, paving way sustainable agricultural practices by pinpointing precise interven-tions against cinerea. sets a foundation further investigations fungus's metabolism, implications biotechnology disease management.
Язык: Английский
Процитировано
1
International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(11), С. 5900 - 5900
Опубликована: Май 28, 2024
Utilizing bioinformatics tools, this study expands our understanding of secondary metabolism in Botrytis cinerea, identifying novel genes within polyketide synthase (PKS), non-ribosomal peptide synthetase (NRPS), sesquiterpene cyclase (STC), diterpene (DTC), and dimethylallyltryptophan (DMATS) families. These findings enrich the genetic framework associated with B. cinerea's pathogenicity ecological adaptation, offering insights into uncharted metabolic pathways. Significantly, discovery previously unannotated provides new molecular targets for developing targeted antifungal strategies, promising to enhance crop protection advance fungal biochemistry. This research not only broadens scope known metabolites but also opens avenues future exploration biosynthetic capabilities, potentially leading compounds. Our work underscores importance integrating genomics research, paving way sustainable agricultural practices by pinpointing precise interventions against cinerea. sets a foundation further investigations fungus's metabolism, implications biotechnology disease management.
Язык: Английский
Процитировано
1
Опубликована: Июнь 19, 2024
Bioinformatics is a crucial interdisciplinary field intersecting biology, computer science, and statistics. It acts as pivotal catalyst in transforming life sciences biomedical research. Despite its importance, the grapples with issues such overwhelming biological data volumes, inconsistent handling standards, dearth of experts skilled all disciplines. These challenges permeate academia, pharmaceutical industry, public health, affecting advancements research, personalized medicine, disease outbreak understanding. The chapter aims to offer an in-depth review bioinformatics, covering definition, significance, inherent challenges. intends elevate reader's scientific contextual understanding by detailing frequently used tools resources, sequence alignment, gene protein prediction, structure modeling, complex genomic analysis. also critically evaluates existing limitations, including integration hurdles urgent need for advanced computational methods. Conclusively, it paints optimistic picture future this rapidly evolving field, highlighting potential breakthroughs that could profoundly enhance our improve health outcomes.
Язык: Английский
Процитировано
1
Regional Environmental Change, Год журнала: 2024, Номер 24(2)
Опубликована: Май 14, 2024
Язык: Английский
Процитировано
0
Molecular Biology Reports, Год журнала: 2024, Номер 51(1)
Опубликована: Окт. 26, 2024
Язык: Английский
Процитировано
0