Evidence map›Paper›PMID 28815420›Full record

ReviewThe protein journal2017

Road Map for the Structure-Based Design of Selective Covalent HCV NS3/4A Protease Inhibitors.

Letitia Shunmugam, Pritika Ramharack, Mahmoud E S Soliman

Abstract readReview
PubMed Publisher
In one paragraph

Review in The protein journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Discovery of an Allosteric Ligand Binding Site in SMYD3 Lysine Methyltransferase.Chembiochem : a European journal of chemical biology · 2021
    Article
  2. Covalent Antiviral Agents.Advances in experimental medicine and biology · 2021
    Review
  3. 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

3 authors.

Letitia ShunmugamMolecular Modeling and Drug Design Research Group, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.
Pritika RamharackMolecular Modeling and Drug Design Research Group, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.
Mahmoud E S SolimanMolecular Modeling and Drug Design Research Group, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa. soliman@ukzn.ac.za.

Funding

National Research Foundation 109717
6 · The paper itself

Abstract

Over the last 2 decades, covalent inhibitors have gained much popularity and is living up to its reputation as a powerful tool in drug discovery. Covalent inhibitors possess many significant advantages including increased biochemical efficiency, prolonged duration and the ability to target shallow, solvent exposed substrate-binding domains. However, rapidly mounting concerns over the potential toxicity, highly reactive nature and general lack of selectivity have negatively impacted covalent inhibitor development. Recently, a great deal of emphasis by the pharmaceutical industry has been placed toward the development of novel approaches to alleviate the major challenges experienced through covalent inhibition. This has unexpectedly led to the emergence of "selective" covalent inhibitors. The purpose of this review is not only to provide an overview from literature but to introduce a technical guidance as to how to initiate a systematic "road map" for the design of selective covalent inhibitors which we believe may assist in the design and development of optimized potential selective covalent HCV NS3/4A viral protease inhibitors.

Indexed as

Antiviral AgentsDrug DesignProtease InhibitorsHepatitis CHumansMolecular Docking SimulationSerine ProteasesViral Nonstructural ProteinsAntiviral AgentsNS3-4A serine protease, Hepatitis C virusProtease InhibitorsSerine ProteasesViral Nonstructural ProteinsHepatitis C virusNS3/4A proteaseSelective covalent inhibition

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.