Evidence map›Paper›PMID 24451033›Full record

ArticleJournal of chemical information and modeling2014

A new approach to radial basis function approximation and its application to QSAR.

Alexey V Zakharov, Megan L Peach, Markus Sitzmann, Marc C Nicklaus

Abstract 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. QSAR Modeling for Predicting ICInternational journal of molecular sciences · 2025
    Article
  2. Article
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  6. Article
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  8. Synthesis and Biological Evaluation of NewMolecules (Basel, Switzerland) · 2021
    Article
  9. Article
  10. CATMoS: Collaborative Acute Toxicity Modeling Suite.Environmental health perspectives · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Chemical toxicity prediction for major classes of industrial chemicals: Is it possible to develop universal models covering cosmetics, drugs, and pesticides?Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2018
    Article
  16. Article
  17. Many InChIs and quite some feat.Journal of computer-aided molecular design · 2015
    Article
  18. 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.

Alexey V ZakharovCADD Group, Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health , DHHS, NCI-Frederick, , 376 Boyles St., Frederick, Maryland 21702, United States.
Megan L Peach
Markus Sitzmann
Marc C Nicklaus

Funding

In Silico Screening for Cancer TargetsZICBC010639 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NICKLAUS, MARC · 2009 to 2024
$4.2M
Large Databases of Small Molecules - Drug Development Tool and Public ResourceZICBC010517 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NICKLAUS, MARC · 2009 to 2025
$3.7M
Tools for Prediction of Drug Metabolism and MetabolitesZIABC011336 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NICKLAUS, MARC · 2010 to 2020
$1.2M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

We describe a novel approach to RBF approximation, which combines two new elements: (1) linear radial basis functions and (2) weighting the model by each descriptor's contribution. Linear radial basis functions allow one to achieve more accurate predictions for diverse data sets. Taking into account the contribution of each descriptor produces more accurate similarity values used for model development. The method was validated on 14 public data sets comprising nine physicochemical properties and five toxicity endpoints. We also compared the new method with five different QSAR methods implemented in the EPA T.E.S.T. program. Our approach, implemented in the program GUSAR, showed a reasonable accuracy of prediction and high coverage for all external test sets, providing more accurate prediction results than the comparison methods and even the consensus of these methods. Using our new method, we have created models for physicochemical and toxicity endpoints, which we have made freely available in the form of an online service at http://cactus.nci.nih.gov/chemical/apps/cap.

Indexed as

AlgorithmsModels, BiologicalQuantitative Structure-Activity RelationshipSoftwareAnimalsComputer SimulationCyprinidaeDaphniaDatabases, FactualInternetNeural Networks, ComputerRatsTetrahymenaToxicity Tests

Identifiers

PMID24451033
PMCPMC3985791

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.