Evidence map›Paper›PMID 24900472›Full record

ArticleACS medicinal chemistry letters2012

Missing fragments: detecting cooperative binding in fragment-based drug design.

Pramod C Nair, Alpeshkumar K Malde, Nyssa Drinkwater, Alan E Mark

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Automation of Drug Discovery through Cutting-edgeCurrent computer-aided drug design · 2024
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Fragment-based screening by protein crystallography: successes and pitfalls.International journal of molecular sciences · 2012
    Review
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

4 authors.

Pramod C NairSchool of Chemistry and Molecular Biosciences (SCMB) and Institute for Molecular Bioscience (IMB), The University of Queensland (UQ) , St Lucia Campus, Brisbane, QLD 4072, Australia.
Alpeshkumar K MaldeSchool of Chemistry and Molecular Biosciences (SCMB) and Institute for Molecular Bioscience (IMB), The University of Queensland (UQ) , St Lucia Campus, Brisbane, QLD 4072, Australia.
Nyssa DrinkwaterSchool of Chemistry and Molecular Biosciences (SCMB) and Institute for Molecular Bioscience (IMB), The University of Queensland (UQ) , St Lucia Campus, Brisbane, QLD 4072, Australia ; Randall Division of Cell and Molecular Biophysics, King's College London , London, SE1 1UL, United Kingdom.
Alan E MarkSchool of Chemistry and Molecular Biosciences (SCMB) and Institute for Molecular Bioscience (IMB), The University of Queensland (UQ) , St Lucia Campus, Brisbane, QLD 4072, Australia ; School of Chemistry and Molecular Biosciences (SCMB) and Institute for Molecular Bioscience (IMB), The University of Queensland (UQ) , St Lucia Campus, Brisbane, QLD 4072, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of fragment-based drug design (FBDD) is to identify molecular fragments that bind to alternate subsites within a given binding pocket leading to cooperative binding when linked. In this study, the binding of fragments to human phenylethanolamine N-methyltransferase is used to illustrate how (a) current protocols may fail to detect fragments that bind cooperatively, (b) theoretical approaches can be used to validate potential hits, and (c) apparent false positives obtained when screening against cocktails of fragments may in fact indicate promising leads.

Indexed as

drug bindingfree energy calculationsmolecular dynamicsmolecular fragmentsphenylethanolamine N-methyltransferase (PNMT)

Identifiers

PMID24900472
PMCPMC4025746

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.