Evidence map›Paper›PMID 22316156›Full record

ReviewCurrent pharmaceutical design2012

Computational insights for the discovery of non-ATP competitive inhibitors of MAP kinases.

Michael J Schnieders, Tamer S Kaoud, Chunli Yan, Kevin N Dalby, Pengyu Ren

Abstract readReview
In one paragraph

Review in Current pharmaceutical design, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Identification and validation of novel PERK inhibitors.Journal of chemical information and modeling · 2014
    Article
  8. Lost in Translation (LiT): IUPHAR Review 6.British journal of pharmacology · 2014
    Review
  9. Article
  10. Article
  11. 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

5 authors.

Michael J SchniedersDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA. pren@mail.utexas.edu
Tamer S Kaoud
Chunli Yan
Kevin N Dalby
Pengyu Ren

Funding

Mechanism and Specificity of MAP KinasesR01GM059802 · NIGMS · UNIVERSITY OF TEXAS AUSTIN · PI DALBY, KEVIN N · 2001 to 2011
$2.3M
Computational Drug Discovery with Polarizable Potential Eneergy FunctionR01GM079686 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI REN, PENGYU · 2007 to 2011
$1.1M
NIGMS NIH HHS GM59802NIGMS NIH HHS R01 GM059802NIGMS NIH HHS R01 GM079686NIGMS NIH HHS R01GM079686
6 · The paper itself

Abstract

Due to their role in cellular signaling mitogen activated protein (MAP) kinases represent targets of pharmaceutical interest. However, the majority of known MAP kinase inhibitors compete with cellular ATP and target an ATP binding pocket that is highly conserved in the 500 plus representatives of the human protein kinase family. Here we review progress toward the development of non-ATP competitive MAP kinase inhibitors for the extracellular signal regulated kinases (ERK1/2), the c-jun N-terminal kinases (JNK1/2/3) and the p38 MAPKs (α, β, γ, and δ). Special emphasis is placed on the role of computational methods in the drug discovery process for MAP kinases. Topics include recent advances in X-ray crystallography theory that improve the MAP kinase structures essential to structurebased drug discovery, the use of molecular dynamics to understand the conformational heterogeneity of the activation loop and inhibitors discovered by virtual screening. The impact of an advanced polarizable force field such as AMOEBA used in conjunction with sophisticated kinetic and thermodynamic simulation methods is also discussed.

Indexed as

Drug DesignAdenosine TriphosphateAnimalsComputer SimulationCrystallography, X-RayDrug Delivery SystemsDrug DiscoveryHumansMitogen-Activated Protein KinasesProtein Kinase InhibitorsSignal TransductionAdenosine TriphosphateMitogen-Activated Protein KinasesProtein Kinase Inhibitors

Identifiers

PMID22316156
PMCPMC4016787

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.