Evidence map›Paper›PMID 34968995›Full record

ReviewJournal of pharmaceutical and biomedical analysis2022

Drug discovery from natural products - Old problems and novel solutions for the treatment of neurodegenerative diseases.

Urmila Maitra, Cayman Stephen, Lukasz M Ciesla

Abstract readReview
In one paragraph

Review in Journal of pharmaceutical and biomedical analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Homology-based identification and structural analysis ofComputational and structural biotechnology journal · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. International journal of molecular sciences · 2023
    Review
  14. Article
  15. Article
  16. Review
  17. UsingFrontiers in pharmacology · 2022
    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

3 authors.

Urmila MaitraDepartment of Biological Sciences, The University of Alabama, Tuscaloosa, AL 35487, USA.
Cayman StephenDepartment of Biological Sciences, The University of Alabama, Tuscaloosa, AL 35487, USA.
Lukasz M CieslaDepartment of Biological Sciences, The University of Alabama, Tuscaloosa, AL 35487, USA. Electronic address: lmciesla@ua.edu.

Funding

Cellular membrane affinity chromatography kit for drug discoveryR41AT011716 · NCCIH · REGIS TECHNOLOGIES INC · PI CIESLA, LUKASZ MICHAL · 2021 to 2022
$251k
NCCIH NIH HHS R41 AT011716
6 · The paper itself

Abstract

The use of natural products has been shown to be a fruitful approach in the discovery of novel pharmaceuticals. In fact, many currently approved drugs originated from compounds that were first identified in nature. Chemical diversity of natural compounds cannot be matched by man-made libraries of chemically synthesized molecules. Many natural compounds interact with and modulate regulatory protein targets and can be considered evolutionarily-optimized drug-like molecules. Despite this, many pharmaceutical companies have reduced or eliminated their natural product discovery programs in the last two decades. Screening natural products for pharmacologically active compounds is a challenging task that requires high resource commitment. Novel approaches at the early stage of the drug discovery pipeline are needed to allow for rapid screening and identification of the most promising molecules. Here, we review the possible evolutionary roots for drug-like characteristics of numerous natural compounds. Since many of these compounds target evolutionarily conserved cellular signaling pathways, we propose novel, early-stage drug discovery approaches to identify drug candidates that can be used for the potential prevention and treatment of neurodegenerative diseases. Invertebrate in vivo animal models of neurodegenerative diseases and innovative tools used within these models are proposed here as a screening funnel to identify new drug candidates and to shuttle these hits into further stages of the drug discovery pipeline.

Indexed as

Biological ProductsNeurodegenerative DiseasesAnimalsDrug DiscoveryHumansBiological ProductsDrug discoveryImmobilized transmembrane proteinsNatural productsNeurodegenerative diseaseSpecialized metabolites

Identifiers

PMID34968995
PMCPMC8792363

What Socratic holds

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Read underepoch 390

Registered trials

None linked

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 Socratic graph.