Evidence map›Paper›PMID 32072438›Full record

ReviewThe protein journal2020

Covalent Versus Non-covalent Enzyme Inhibition: Which Route Should We Take? A Justification of the Good and Bad from Molecular Modelling Perspective.

Aimen Aljoundi, Imane Bjij, Ahmed El Rashedy, Mahmoud E S Soliman

Abstract readReview
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In one paragraph

Review in The protein journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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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

4 authors.

Aimen AljoundiMolecular Bio-Computation & Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville, Durban, 4000, South Africa.
Imane BjijMolecular Bio-Computation & Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville, Durban, 4000, South Africa.
Ahmed El RashedyMolecular Bio-Computation & Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville, Durban, 4000, South Africa.
Mahmoud E S SolimanMolecular Bio-Computation & Drug Design Lab, School of Health Sciences, University of KwaZulu-Natal, Westville, Durban, 4000, South Africa. soliman@ukzn.ac.za.ORCID 0000-0002-0619-2109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pace and efficiency of drug target strategies have been emanating debates among researchers in the field of drug development. Covalent inhibitors possess significant advantages over non-covalent inhibitors, such that covalent warheads can target rare residues of a particular target protein, thus leading to the development of highly selective inhibitors. However, toxicity can be a real challenge related to this class of therapeutics. From the challenges of irreversible drug toxicity to the declining reactivity of reversible drugs, herein we provide justifications from the computational point of view. It was evident that both classes had its merits; however, with the increase in drug resistance, covalent inhibition seemed more suitable. There also seems to be enhanced selectivity of the covalent systems, proving its use as a therapeutic regimen worldwide. We believe that this study will assist researchers in making informed decisions on which drug class to choose as lead compounds in the drug discovery pipeline.

Indexed as

Drug DiscoveryEnzyme InhibitorsHumansModels, MolecularEnzyme InhibitorsCovalent inhibitionMeritsNon-covalent inhibitionPitfalls

Identifiers

What OpenQuestion holds

Textmetadata
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.