Evidence map›Paper›PMID 25244105›Full record

ArticleJournal of chemical information and modeling2014

OOMMPPAA: a tool to aid directed synthesis by the combined analysis of activity and structural data.

Anthony R Bradley, Ian D Wall, Darren V S Green, Charlotte M Deane, Brian D Marsden

Open access · hybridAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2014. 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
2.6field-weighted citation impact, top 11% of its field
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, 9 citations in OpenAlex.

  1. Review
  2. Article
  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

5 authors at 3 institutions in 1 country.

Anthony R BradleySGC, Nuffield Department of Medicine, University of Oxford , Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford OX3 7DQ, U.K.
Ian D Wall
Darren V S Green
Charlotte M Deane
Brian D Marsden
GlaxoSmithKline (United Kingdom) · GBOxford Research Group · GBNuffield Orthopaedic Centre · GB

Funding

Wellcome Trust 092809
6 · The paper itself

Abstract

There is an ever increasing resource in terms of both structural information and activity data for many protein targets. In this paper we describe OOMMPPAA, a novel computational tool designed to inform compound design by combining such data. OOMMPPAA uses 3D matched molecular pairs to generate 3D ligand conformations. It then identifies pharmacophoric transformations between pairs of compounds and associates them with their relevant activity changes. OOMMPPAA presents this data in an interactive application providing the user with a visual summary of important interaction regions in the context of the binding site. We present validation of the tool using openly available data for CDK2 and a GlaxoSmithKline data set for a SAM-dependent methyl-transferase. We demonstrate OOMMPPAA's application in optimizing both potency and cell permeability and use OOMMPPAA to highlight nuanced and cross-series SAR. OOMMPPAA is freely available to download at http://oommppaa.sgc.ox.ac.uk/OOMMPPAA/ .

Indexed as

SoftwareBinding SitesCyclin-Dependent Kinase 2Drug DesignEnzyme InhibitorsHumansLigandsMethyltransferasesMolecular Docking SimulationProtein BindingQuantitative Structure-Activity RelationshipS-AdenosylmethionineSmall Molecule LibrariesCDK2 protein, humanCyclin-Dependent Kinase 2Enzyme InhibitorsLigandsMethyltransferasesS-AdenosylmethionineSmall Molecule Libraries

Identifiers

PMID25244105
PMCPMC4372120
OpenAlexW2032998352

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.