From Ocean to Medicine: Pharmaceutical Applications of Metabolites from Marine Bacteria DOI Creative Commons
José Diogo Neves dos Santos, Inês Rosado Vitorino, Fernando Reyes

et al.

Antibiotics, Journal Year: 2020, Volume and Issue: 9(8), P. 455 - 455

Published: July 28, 2020

Oceans cover seventy percent of the planet’s surface and besides being an immense reservoir biological life, they serve as vital sources for human sustenance, tourism, transport commerce. Yet, it is estimated by National Oceanic Atmospheric Administration (NOAA) that eighty oceans remain unexplored. The untapped resources present in may be fundamental solving several world’s public health crises 21st century, which span from rise antibiotic resistance bacteria, pathogenic fungi parasites, to cancer incidence viral infection outbreaks. In this review, risks well how marine bacterial derived natural products tools fight them will discussed. Moreover, overview made research pipeline novel molecules, identification bioactive crude extracts isolation chemical characterization molecules within framework One Health approach. This review highlights information has been published since 2014, showing current relevance bacteria discovery products.

Language: Английский

Marine Natural Products: A Source of Novel Anticancer Drugs DOI Creative Commons

Shaden A. M. Khalifa,

Nizar Elias, Mohamed A. Farag

et al.

Marine Drugs, Journal Year: 2019, Volume and Issue: 17(9), P. 491 - 491

Published: Aug. 23, 2019

Cancer remains one of the most lethal diseases worldwide. There is an urgent need for new drugs with novel modes action and thus considerable research has been conducted anticancer from natural sources, especially plants, microbes marine organisms. Marine populations represent reservoirs bioactive metabolites diverse groups chemical structures. This review highlights impact organisms, particular emphasis on algae, bacteria, actinomycetes, fungi, sponges soft corals. Anti-cancer effects products in vitro vivo studies were first introduced; their activity prevention tumor formation related compound-induced apoptosis cytotoxicities tackled. The possible molecular mechanisms behind biological are also presented. diversity structures, property space. Finally, therapeutic strategies present use marine-derived components, its future direction limitations discussed.

Language: Английский

Citations

480

Machine Learning Methods in Drug Discovery DOI Creative Commons

Lauv Patel,

Tripti Shukla, Xiuzhen Huang

et al.

Molecules, Journal Year: 2020, Volume and Issue: 25(22), P. 5277 - 5277

Published: Nov. 12, 2020

The advancements of information technology and related processing techniques have created a fertile base for progress in many scientific fields industries. In the drug discovery development, machine learning been used development novel candidates. methods designing targets now routinely combine deep algorithms to enhance efficiency, efficacy, quality developed outputs. generation incorporation big data, through technologies such as high-throughput screening high through-put computational analysis databases both lead target discovery, has increased reliability incorporated techniques. use these virtual encompassing online also highlighted developing synthesis pathways. this review, utilized associated will be discussed. applications that produce promising results reviewed.

Language: Английский

Citations

321

NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products DOI Creative Commons
Hyun Woo Kim, Mingxun Wang, Christopher A. Leber

et al.

Journal of Natural Products, Journal Year: 2021, Volume and Issue: 84(11), P. 2795 - 2807

Published: Oct. 18, 2021

Computational approaches such as genome and metabolome mining are becoming essential to natural products (NPs) research. Consequently, a need exists for an automated structure-type classification system handle the massive amounts of data appearing NP structures. An ideal semantic ontology NPs should go beyond simple presence/absence chemical substructures, but also include taxonomy producing organism, nature biosynthetic pathway, and/or their biological properties. Thus, holistic automatic framework could have considerable value comprehensively navigate relatedness NPs, especially so when analyzing large numbers NPs. Here, we introduce NPClassifier, deep-learning tool structural from counted Morgan fingerprints. NPClassifier is expected accelerate enhance discovery by linking structures underlying

Language: Английский

Citations

290

The Natural Products Atlas 2.0: a database of microbially-derived natural products DOI Creative Commons
Jeffrey A. van Santen,

Ella F Poynton,

Dasha Iskakova

et al.

Nucleic Acids Research, Journal Year: 2021, Volume and Issue: 50(D1), P. D1317 - D1323

Published: Oct. 4, 2021

Within the natural products field there is an increasing emphasis on study of compounds from microbial sources. This has been fuelled by interest in central role that microorganisms play mediating both interspecies interactions and host-microbe relationships. To support chemistry produced we released Natural Products Atlas, a database known structures, 2019. paper reports release new version which includes full RESTful application programming interface (API), website framework, expanded 8128 compounds, bringing total to 32 552. In addition these structural content changes have added taxonomic descriptions for all taxa chemical ontology terms NP Classifier ClassyFire. We also performed manual curation review entries with incomplete configurational assignments integrated data external resources, including CyanoMetDB. Finally, improved user experience updating Overview dashboard creating origin. The can be accessed via interactive at https://www.npatlas.org.

Language: Английский

Citations

230

Marine natural products DOI
Anthony R. Carroll, Brent R. Copp, Rohan A. Davis

et al.

Natural Product Reports, Journal Year: 2022, Volume and Issue: 39(6), P. 1122 - 1171

Published: Jan. 1, 2022

A comprehensive review of 1407 new MNPs including turbinmicin, a potent antifungal lead isolated from marine bacterium.

Language: Английский

Citations

219

Mining genomes to illuminate the specialized chemistry of life DOI
Marnix H. Medema, Tristan de Rond, Bradley S. Moore

et al.

Nature Reviews Genetics, Journal Year: 2021, Volume and Issue: 22(9), P. 553 - 571

Published: June 3, 2021

Language: Английский

Citations

193

Artificial intelligence for natural product drug discovery DOI
Michael W. Mullowney, Katherine Duncan, Somayah S. Elsayed

et al.

Nature Reviews Drug Discovery, Journal Year: 2023, Volume and Issue: 22(11), P. 895 - 916

Published: Sept. 11, 2023

Language: Английский

Citations

164

Natural product drug discovery in the artificial intelligence era DOI Creative Commons
Fernanda I. Saldívar‐González,

Victor Daniel Aldas-Bulos,

José L. Medina‐Franco

et al.

Chemical Science, Journal Year: 2021, Volume and Issue: 13(6), P. 1526 - 1546

Published: Dec. 13, 2021

Natural products (NPs) are primarily recognized as privileged structures to interact with protein drug targets.

Language: Английский

Citations

144

Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches DOI Creative Commons
Mehdi A. Beniddir, Kyo Bin Kang, Grégory Genta‐Jouve

et al.

Natural Product Reports, Journal Year: 2021, Volume and Issue: 38(11), P. 1967 - 1993

Published: Jan. 1, 2021

This review highlights the key computational tools and emerging strategies for metabolite annotation, discusses how these advances will enable integrated large-scale analysis to accelerate natural product discovery.

Language: Английский

Citations

132

Strategies to access biosynthetic novelty in bacterial genomes for drug discovery DOI

Franziska Hemmerling,

Jörn Piel

Nature Reviews Drug Discovery, Journal Year: 2022, Volume and Issue: 21(5), P. 359 - 378

Published: March 16, 2022

Language: Английский

Citations

89