Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 258

The DOI matches its Crossref record.

Regulators of Serine / Threonine Protein Phosphatases at the Dawn of a Clinical Era?

Honkanen, R., Golden, T.·2002·Current Medicinal Chemistry

Abstract

Reversible phosphorylation is a key mechanism for regulating the biological activity of many human proteins that affect a diverse array of cellular processes, including protein-protein interactions, gene transcription, cell-cycle progression and apoptosis. Once viewed as simple house keeping enzymes, recent studies have made it eminently clear that, like their kinase counterparts, protein phosphatases are dynamic and highly regulated enzymes. Therefore, the development of compounds that alter the activity of specific phosphatases is rapidly emerging as an important area in drug discovery. Because >98% of protein phosphorylation occurs on serine and threonine residues, the identification of agents that alter the activity of specific serine/threonine phosphatases seems especially promising for drug development in the future. This review is focused on the enzymes encoded by the PPP-gene family, which includes PP1, PP2A, PP2B, PP4, PP5, PP6 and PP7. The structure/functions of human phosphatases will be addressed briefly, as will the natural product inhibitors of PP1-PP6 (e.g. okadaic acid, microcystins, nodularin, cantharidin, calyculin A, tautomycin, and fostriecin). The development of chimeric antisense oligonucleotides that support RNAase H mediated degradation of the targeted mRNA has resulted in compounds capable of specifically suppressing the expression of PP5 (ISIS 15534) and PP1gamma 1 (ISIS 14435) in human cells. Such compounds have already proven useful for the validation of drug targets, and if difficulties associated with systemic delivery of antisense oligonucleotides can be overcome, antisense is poised to have a major impact on the clinical management of many human disorders.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2174/0929867023368836

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Authors
Honkanen, R., & Golden, T.
Venue
Current Medicinal Chemistry
Published
2002-11-01
Volume
9
Issue
22
Pages
2055-2075
ISSN
0929-8673 (ISSN-L)
OpenAlex
W1967000579
Cited by
258
References
0
FWCI
4.32
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.