Natural product drug discovery in the artificial intelligence era

FI Saldívar-González, VD Aldas-Bulos… - Chemical …, 2022 - pubs.rsc.org
Natural products (NPs) are primarily recognized as privileged structures to interact with
protein drug targets. Their unique characteristics and structural diversity continue to marvel …

Advanced methods for natural products discovery: bioactivity screening, dereplication, metabolomics profiling, genomic sequencing, databases and informatic tools …

SP Gaudêncio, E Bayram, L Lukić Bilela, M Cueto… - Marine drugs, 2023 - mdpi.com
Natural Products (NP) are essential for the discovery of novel drugs and products for
numerous biotechnological applications. The NP discovery process is expensive and time …

Natural products as a source for novel antibiotics

MG Moloney - Trends in pharmacological sciences, 2016 - cell.com
Natural products have historically been of crucial importance in the identification and
development of antibacterial agents. Interest in these systems has waned in recent years …

Dereplication: racing to speed up the natural products discovery process

SP Gaudêncio, F Pereira - Natural product reports, 2015 - pubs.rsc.org
Covering: 1993–2014 (July) To alleviate the dereplication holdup, which is a major
bottleneck in natural products discovery, scientists have been conducting their research …

Machine learning-enabled genome mining and bioactivity prediction of natural products

Y Yuan, C Shi, H Zhao - ACS synthetic biology, 2023 - ACS Publications
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 …

The essentials of marine biotechnology

A Rotter, M Barbier, F Bertoni, AM Bones… - Frontiers In marine …, 2021 - frontiersin.org
Coastal countries have traditionally relied on the existing marine resources (eg, fishing,
food, transport, recreation, and tourism) as well as tried to support new economic endeavors …

Machine learning approaches for elucidating the biological effects of natural products

R Zhang, X Li, X Zhang, H Qin, W Xiao - Natural Product Reports, 2021 - pubs.rsc.org
Covering: 2000 to 2020 Machine learning (ML) is an efficient tool for the prediction of
bioactivity and the study of structure–activity relationships. Over the past decade, an …

Computational methodologies in the exploration of marine natural product leads

F Pereira, J Aires-de-Sousa - Marine drugs, 2018 - mdpi.com
Computational methodologies are assisting the exploration of marine natural products
(MNPs) to make the discovery of new leads more efficient, to repurpose known MNPs, to …

[HTML][HTML] Engineering enzymatic assembly lines to produce new antibiotics

KAJ Bozhüyük, J Micklefield, B Wilkinson - Current opinion in microbiology, 2019 - Elsevier
Highlights•Many clinical antibiotics are natural products produced by thiotemplate-based
assembly line biosynthetic pathways.•Assembly line pathways provide an opportunity for …

Harnessing the properties of natural products

A Boufridi, RJ Quinn - Annual review of pharmacology and …, 2018 - annualreviews.org
Natural products (NPs) have been used as traditional medicines since antiquity. With more
than 1060 estimated compounds with molecular weights less than 500 Da representing …