Evidence map›Paper›PMID 38794190›Full record

ReviewPharmaceuticals (Basel, Switzerland)2024

The Histone Deacetylase Family: Structural Features and Application of Combined Computational Methods.

Antonio Curcio, Roberta Rocca, Stefano Alcaro, Anna Artese

Erratum issuedAbstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

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  13. Trajectories of late-life depression: insights from molecular imaging.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Antonio CurcioDipartimento di Scienze della Salute, Campus "S. Venuta", Università degli Studi "Magna Græcia" di Catanzaro, Viale Europa, 88100 Catanzaro, Italy.ORCID 0009-0005-6818-5325
Roberta RoccaDipartimento di Scienze della Salute, Campus "S. Venuta", Università degli Studi "Magna Græcia" di Catanzaro, Viale Europa, 88100 Catanzaro, Italy.ORCID 0000-0002-0680-7097
Stefano AlcaroDipartimento di Scienze della Salute, Campus "S. Venuta", Università degli Studi "Magna Græcia" di Catanzaro, Viale Europa, 88100 Catanzaro, Italy.ORCID 0000-0002-0437-358X
Anna ArteseDipartimento di Scienze della Salute, Campus "S. Venuta", Università degli Studi "Magna Græcia" di Catanzaro, Viale Europa, 88100 Catanzaro, Italy.ORCID 0000-0002-4638-7760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histone deacetylases (HDACs) are crucial in gene transcription, removing acetyl groups from histones. They also influence the deacetylation of non-histone proteins, contributing to the regulation of various biological processes. Thus, HDACs play pivotal roles in various diseases, including cancer, neurodegenerative disorders, and inflammatory conditions, highlighting their potential as therapeutic targets. This paper reviews the structure and function of the four classes of human HDACs. While four HDAC inhibitors are currently available for treating hematological malignancies, numerous others are undergoing clinical trials. However, their non-selective toxicity necessitates ongoing research into safer and more efficient class-selective or isoform-selective inhibitors. Computational techniques have greatly facilitated the discovery of HDAC inhibitors that achieve the desired potency and selectivity. These techniques encompass ligand-based strategies such as scaffold hopping, pharmacophore modeling, three-dimensional quantitative structure–activity relationships (3D-QSAR), and structure-based virtual screening (molecular docking). Additionally, advancements in molecular dynamics simulations, along with Poisson–Boltzmann/molecular mechanics generalized Born surface area (PB/MM-GBSA) methods, have enhanced the accuracy of predicting ligand binding affinity. In this review, we delve into the ways in which these methods have contributed to designing and identifying HDAC inhibitors.

Indexed as

drug designHDACs inhibitorsHDACs structurehistone deacetylases (HDACs)molecular modeling

Identifiers

PMID38794190
PMCPMC11124352

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.