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Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019.

David J. Newman, +1 more
- 12 Mar 2020 - 
- Vol. 83, Iss: 3, pp 770-803
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TLDR
Although combinatorial chemistry techniques have succeeded as methods of optimizing structures and have been used very successfully in the optimization of many recently approved agents, they are still able to identify only two de novo combinatorials compounds approved as drugs in this 39-year time frame.
Abstract
This review is an updated and expanded version of the five prior reviews that were published in this journal in 1997, 2003, 2007, 2012, and 2016. For all approved therapeutic agents, the time frame has been extended to cover the almost 39 years from the first of January 1981 to the 30th of September 2019 for all diseases worldwide and from ∼1946 (earliest so far identified) to the 30th of September 2019 for all approved antitumor drugs worldwide. As in earlier reviews, only the first approval of any drug is counted, irrespective of how many "biosimilars" or added approvals were subsequently identified. As in the 2012 and 2016 reviews, we have continued to utilize our secondary subdivision of a "natural product mimic", or "NM", to join the original primary divisions, and the designation "natural product botanical", or "NB", to cover those botanical "defined mixtures" now recognized as drug entities by the FDA (and similar organizations). From the data presented in this review, the utilization of natural products and/or synthetic variations using their novel structures, in order to discover and develop the final drug entity, is still alive and well. For example, in the area of cancer, over the time frame from 1946 to 1980, of the 75 small molecules, 40, or 53.3%, are N or ND. In the 1981 to date time frame the equivalent figures for the N* compounds of the 185 small molecules are 62, or 33.5%, though to these can be added the 58 S* and S*/NMs, bringing the figure to 64.9%. In other areas, the influence of natural product structures is quite marked with, as expected from prior information, the anti-infective area being dependent on natural products and their structures, though as can be seen in the review there are still disease areas (shown in Table 2) for which there are no drugs derived from natural products. Although combinatorial chemistry techniques have succeeded as methods of optimizing structures and have been used very successfully in the optimization of many recently approved agents, we are still able to identify only two de novo combinatorial compounds (one of which is a little speculative) approved as drugs in this 39-year time frame, though there is also one drug that was developed using the "fragment-binding methodology" and approved in 2012. We have also added a discussion of candidate drug entities currently in clinical trials as "warheads" and some very interesting preliminary reports on sources of novel antibiotics from Nature due to the absolute requirement for new agents to combat plasmid-borne resistance genes now in the general populace. We continue to draw the attention of readers to the recognition that a significant number of natural product drugs/leads are actually produced by microbes and/or microbial interactions with the "host from whence it was isolated"; thus we consider that this area of natural product research should be expanded significantly.

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Citations
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Natural products in drug discovery: advances and opportunities.

TL;DR: In this article, the authors summarize recent technological developments that are enabling natural product-based drug discovery, highlight selected applications and discuss key opportunities, and discuss the potential of using natural products as drug leads.
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antiSMASH 6.0: improving cluster detection and comparison capabilities.

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Towards the sustainable discovery and development of new antibiotics

TL;DR: In this paper, the authors present a strategic blueprint to substantially improve our ability to discover and develop new antibiotics, and propose both short-term and long-term solutions to overcome the most urgent limitations in the various sectors of research and funding.
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Natural Products in Cancer Therapy: Past, Present and Future.

TL;DR: This review summarizes the key advancements in nature product-centered cancer research and calls for the implementation of systematic approaches, new pharmacological models, and exploration of emerging directions to revitalize natural products search in cancer therapy.
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Ethnobotany and the Role of Plant Natural Products in Antibiotic Drug Discovery.

TL;DR: Key findings on the antibacterial potential of plant NPs are brought to the forefront for consideration in future antibiotic discovery and development efforts.
References
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Journal ArticleDOI

Natural Products as Sources of New Drugs over the Last 25 Years

TL;DR: This review is an updated and expanded version of two prior reviews that were published in this journal in 1997 and 2003 and is able to identify only one de novo combinatorial compound approved as a drug in this 25 plus year time frame.
Journal ArticleDOI

Natural Products as Sources of New Drugs from 1981 to 2014

TL;DR: This contribution is a completely updated and expanded version of the four prior analogous reviews that were published in this journal in 1997, 2003, 2007, and 2012, and the time frame has been extended to cover the 34 years from January 1, 1981, to December 31, 2014, for all diseases worldwide, and from 1950 (earliest so far identified) to December 2014 for all approved antitumor drugs worldwide.
Journal ArticleDOI

Natural Products As Sources of New Drugs over the 30 Years from 1981 to 2010

TL;DR: This review is an updated and expanded version of the three prior reviews and adds a new designation, "natural product botanical" or "NB", to cover those botanical "defined mixtures" that have now been recognized as drug entities by the FDA and similar organizations.
Journal ArticleDOI

Lead- and drug-like compounds: the rule-of-five revolution.

TL;DR: This topic is explored in terms ofDrug-like physicochemical features, drug-like structural features, a comparison of drug- like and non-drug-like in drug discovery and a discussion of how drug-Like features relate to clinical success.
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