Evidence map›Paper›PMID 38999189›Full record

ReviewMolecules (Basel, Switzerland)2024

High-Throughput Mining of Novel Compounds from Known Microbes: A Boost to Natural Product Screening.

Surya Nandan Meena, Anna Wajs-Bonikowska, Savita Girawale, Md Imran, Preethi Poduwal, Kisan M Kodam

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Surya Nandan MeenaDepartment of Chemistry, Savitribai Phule Pune University, Pune 411007, India.ORCID 0000-0002-9847-5519
Anna Wajs-BonikowskaInstitute of Natural Products and Cosmetics, Faculty of Biotechnology and Food Sciences, Łódz University of Technology, Stefanowskiego Street 2/22, 90-537 Łódz, Poland.ORCID 0000-0002-2134-2654
Savita GirawaleDepartment of Chemistry, Savitribai Phule Pune University, Pune 411007, India.
Md ImranDepartment of Botany, University of Delhi, Delhi 110007, India.
Preethi PoduwalDepartment of Biotechnology, Dhempe College of Arts and Science, Miramar, Goa 403001, India.ORCID 0000-0001-6725-6535
Kisan M KodamDepartment of Chemistry, Savitribai Phule Pune University, Pune 411007, India.ORCID 0000-0002-4058-2362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced techniques can accelerate the pace of natural product discovery from microbes, which has been lagging behind the drug discovery era. Therefore, the present review article discusses the various interdisciplinary and cutting-edge techniques to present a concrete strategy that enables the high-throughput screening of novel natural compounds (NCs) from known microbes. Recent bioinformatics methods revealed that the microbial genome contains a huge untapped reservoir of silent biosynthetic gene clusters (BGC). This article describes several methods to identify the microbial strains with hidden mines of silent BGCs. Moreover, antiSMASH 5.0 is a free, accurate, and highly reliable bioinformatics tool discussed in detail to identify silent BGCs in the microbial genome. Further, the latest microbial culture technique, HiTES (high-throughput elicitor screening), has been detailed for the expression of silent BGCs using 500-1000 different growth conditions at a time. Following the expression of silent BGCs, the latest mass spectrometry methods are highlighted to identify the NCs. The recently emerged LAESI-IMS (laser ablation electrospray ionization-imaging mass spectrometry) technique, which enables the rapid identification of novel NCs directly from microtiter plates, is presented in detail. Finally, various trending 'dereplication' strategies are emphasized to increase the effectiveness of NC screening.

Indexed as

Biological ProductsHigh-Throughput Screening AssaysBacteriaComputational BiologyData MiningDrug DiscoveryMultigene FamilyBiological ProductsantiSMASHbiosynthetic gene clusters (BGCs)dereplicationgenome miningHiTESLAESI-IMSmicrobesnatural product

Identifiers

PMID38999189
PMCPMC11243205

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.