Evidence map›Paper›PMID 21792630›Full record

ArticleJournal of computer-aided molecular design2011

Design of a fragment library that maximally represents available chemical space.

M N Schulz, J Landström, K Bright, R E Hubbard

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of computer-aided molecular design, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Fragment-Based Discovery of KLK6 and KLK7 Inhibitors.Journal of chemical information and modeling · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Frontiers in chemistry · 2020
    Review
  8. Discovery of selective small-molecule activators of a bacterial glycoside hydrolase.Angewandte Chemie (International ed. in English) · 2014
    Article
  9. Article
  10. 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

4 authors.

M N SchulzYSBL, Chemistry Department, University of York, Heslington, York, YO10 5DD, UK.
J Landström
K Bright
R E Hubbard

Funding

Biotechnology and Biological Sciences Research Council BB/G024537/1
6 · The paper itself

Abstract

Cheminformatics protocols have been developed and assessed that identify a small set of fragments which can represent the compounds in a chemical library for use in fragment-based ligand discovery. Six different methods have been implemented and tested on Input Libraries of compounds from three suppliers. The resulting Fragment Sets have been characterised on the basis of computed physico-chemical properties and their similarity to the Input Libraries. A method that iteratively identifies fragments with the maximum number of similar compounds in the Input Library (Nearest Neighbours) produces the most diverse library. This approach could increase the success of experimental ligand discovery projects, by providing fragments that can be progressed rapidly to larger compounds through access to available similar compounds (known as SAR by Catalog).

Indexed as

Binding SitesCombinatorial Chemistry TechniquesDrug DiscoveryDrug IndustryHumansLigandsPeptide FragmentsProteinsLigandsPeptide FragmentsProteins

Identifiers

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.