Streptomyces from desert environments: a treasure trove of next-generation natural compounds DOI
Periyasamy Sivalingam

Natural Product Research, Год журнала: 2024, Номер unknown, С. 1 - 3

Опубликована: Сен. 12, 2024

Язык: Английский

Farmasi Cerdas: Era Baru Penemuan Obat dengan AI dan Big Data DOI Creative Commons
Raymond R. Tjandrawinata

MEDICINUS, Год журнала: 2025, Номер 38(1), С. 27 - 36

Опубликована: Янв. 1, 2025

Proses penemuan obat telah memasuki era baru dengan munculnya kecerdasan buatan (artificial intelligence/AI) dan big data. Pendekatan tradisional, panjang, mahal kini dilengkapi alternatif yang efisien berkat kemampuan AI untuk menganalisis pola kompleks data mengintegrasikan kumpulan berskala besar. Artikel ini membahas peran teknologi tersebut dalam mempercepat inovasi farmasi, mengulas aplikasi praktis, menyoroti tantangan serta prospek masa depan. Dengan data, industri farmasi dapat memajukan pengobatan presisi memperdalam pemahaman kita tentang biologi penyakit.

Процитировано

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Antimicrobial Resistance: Linking Molecular Mechanisms to Public Health Impact DOI Creative Commons
Ghazala Muteeb,

Raisa Nazir Ahmed Kazi,

Mohammad Aatif

и другие.

SLAS DISCOVERY, Год журнала: 2025, Номер unknown, С. 100232 - 100232

Опубликована: Апрель 1, 2025

Antimicrobial resistance (AMR) develops into a worldwide health emergency through genetic and biochemical adaptations which enable microorganisms to resist antimicrobial treatment. β-lactamases (blaNDM, blaKPC) efflux pumps (MexAB-OprM) working with mobile elements facilitate fast proliferation of multidrug-resistant (MDR) exttreme drug-resistant (XDR) phenotypes thus creating major concerns for healthcare systems community as well the agricultural sector. The review dissimilarly unifies molecular pathways public implications study epidemiological data monitoring approaches innovative therapeutic solutions. Previous studies separating their attention between genetics clinical outcomes have been combined our approach delivers an all-encompassing analysis AMR. report investigates mechanisms feature enzymatic degradation pump overexpression together target modification horizontal gene transfer because these factors represent important contributors present-day AMR developments. This effects on hospital environments where it affects pathogens including MRSA, carbapenem-resistant Klebsiella pneumoniae, Pseudomonas aeruginosa. document explores modern management methods that comprise WHO GLASS surveillance three strategies such CRISPR-modified genome editing bacteriophage treatments along peptides artificial intelligence diagnostic tools. resolution needs complete scientific global operational alongside state-of-the-art approaches. Worldwide infection burden requires both enhanced prevention procedures next-generation reduce cases effectively.

Язык: Английский

Процитировано

0

Leveraging Vet-LIRN AMR data from USA to identify potential drug targets in imipenem-resistant E. coli isolates using interactive GIS dashboards, genomic analysis, subtractive genomics, and druggability assessment DOI Creative Commons
Stephen O. Opiyo,

Peace Proscovia Aber

Wellcome Open Research, Год журнала: 2025, Номер 10, С. 243 - 243

Опубликована: Май 16, 2025

Background Antimicrobial Resistance (AMR) is a major global health challenge, particularly in Africa, where antibiotic misuse worsens resistance. This study aims to identify potential drug targets imipenem-resistant E. coli isolates from the Vet-LIRN database through four-phase approach integrating interactive GIS analysis, genomic data subtractive genomics, and druggability assessments. Methods Phase I involved literature review creation of Geographical Information System (GIS) dashboards examine resistance patterns for Ampicillin, Minocycline, Imipenem across North America using ATLAS databases. II focused on analysis resistant susceptible non-synonymous mutations linked imipenem III applied genomics essential bacterial proteins unique absent humans dogs. IV assessed these by matching with DrugBank, interactions matched drugs DrugBank database. Results revealed significant geographical variations resistance, Africa showing higher Ampicillin (80%) compared (55%). Genomic identified 337 isolates, 68 considered targets. Of these, 29 were homologous that interacted over 1,000 drugs. The cell wall/membrane protein group 80 drugs, metabolic enzymes 166 transport-related more than 700 regulatory 1 drug, DNA methylation/epigenetic several Conclusions demonstrates GIS, substractive assessments enhances AMR research provides framework identifying novel interacting offer repurposing, against other multidrug-resistant pathogens.

Язык: Английский

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Streptomyces from desert environments: a treasure trove of next-generation natural compounds DOI
Periyasamy Sivalingam

Natural Product Research, Год журнала: 2024, Номер unknown, С. 1 - 3

Опубликована: Сен. 12, 2024

Язык: Английский

Процитировано

0