Evidence map›Paper›PMID 28715203›Full record

ArticleAccounts of chemical research2017

A Bioinorganic Approach to Fragment-Based Drug Discovery Targeting Metalloenzymes.

Seth M Cohen

Open access · greenAbstract read
In one paragraph

Article in Accounts of chemical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
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

30 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Review
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  9. Review
  10. The pyridazine heterocycle in molecular recognition and drug discovery.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2023
    Review
  11. Article
  12. Article
  13. A potentiometric and spectrofluorimetric approach to unravel inhibitory effects of semi- and thiosemicarbazones on mushroom tyrosinase activity.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2023
    Article
  14. Article
  15. Article
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  18. Article
  19. Chemical communications (Cambridge, England) · 2021
    Article
  20. Article
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

1 author at 1 institution in 1 country.

Seth M CohenDepartment of Chemistry and Biochemistry, University of California, San Diego , La Jolla, California 92093, United States.ORCID 0000-0002-5233-2280
University of California San Diego · US

Funding

Insight and Optimization of Metalloprotein InhibitorsR01GM098435 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI THEODORAKIS, EMMANUEL A · 2011 to 2018
$2.2M
Role of CSN in the activity and dynamic cycling of cullin-RING ubiquitin ligasesR01CA164803 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI COHEN, SETH M, DESHAIES, RAYMOND J · 2013 to 2017
$1.6M
NCI NIH HHS R01 CA164803NIGMS NIH HHS R01 GM098435
6 · The paper itself

Abstract

Metal-dependent enzymes (i.e., metalloenzymes) make up a large fraction of all enzymes and are critically important in a wide range of biological processes, including DNA modification, protein homeostasis, antibiotic resistance, and many others. Consequently, metalloenzymes represent a vast and largely untapped space for drug development. The discovery of effective therapeutics that target metalloenzymes lies squarely at the interface of bioinorganic and medicinal chemistry and requires expertise, methods, and strategies from both fields to mount an effective campaign. In this Account, our research program that brings together the principles and methods of bioinorganic and medicinal chemistry are described, in an effort to bridge the gap between these fields and address an important class of medicinal targets. Fragment-based drug discovery (FBDD) is an important drug discovery approach that is particularly well suited for metalloenzyme inhibitor development. FBDD uses relatively small but diverse chemical structures that allow for the assembly of privileged molecular collections that focus on a specific feature of the target enzyme. For metalloenzyme inhibition, the specific feature is rather obvious, namely, a metal-dependent active site. Surprisingly, prior to our work, the exploration of diverse molecular fragments for binding the metal active sites of metalloenzymes was largely unexplored. By assembling a modest library of metal-binding pharmacophores (MBPs), we have been able to find lead hits for many metalloenzymes and, from these hits, develop inhibitors that act via novel mechanisms of action. A specific case study on the use of this strategy to identify a first-in-class inhibitor of zinc-dependent Rpn11 (a component of the proteasome) is highlighted. The application of FBDD for the development of metalloenzyme inhibitors has raised several other compelling questions, such as how the metalloenzyme active site influences the coordination chemistry of bound fragments, how one can identify the best fragments for a given metalloenzyme, and many others. Among the most significant, and concerning, questions for metalloenzyme inhibition are those that reside around issues of specificity and whether metalloenzyme inhibitors can be as selective and specific as other small molecule inhibitors (i.e., compounds that inhibit enzymes that do not utilize a metal at their active site). This also leads to the question of whether metalloenzyme inhibitors might interfere more broadly with the metallome. Efforts to address these and related questions are discussed, with the expectation that our findings will illuminate some of these topics, alleviate some of these concerns, and encourage greater interest in this important, undervalued class of drug targets.

Indexed as

Drug Delivery SystemsDrug DiscoveryDrug DesignEnzymesMetalloproteinsEnzymesMetalloproteins

Identifiers

PMID28715203
PMCPMC5749230
OpenAlexW2735946350

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.