Evidence map›Paper›PMID 18351403›Full record

ArticleJournal of molecular modeling2008

Modeling the excitation wavelengths (lambda(ex)) of boronic acids.

Minyong Li, Nanting Ni, Binghe Wang, Yanqing Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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.

Minyong LiDepartment of Chemistry and Center for Biotechnology and Drug Design, Georgia State University, Atlanta, GA 30302-4098, USA. mli@gsu.edu
Nanting Ni
Binghe Wang
Yanqing Zhang

Funding

Fluorescent Aptamers for Glycoprotein DetectionR21CA113917 · NCI · GEORGIA STATE UNIVERSITY · PI WANG, BINGHE · 2005 to 2006
$366k
MRI contrast agents targeting carbohydrate biomarkersR21CA123329 · NCI · GEORGIA STATE UNIVERSITY · PI WANG, BINGHE · 2006 to 2007
$357k
NCI NIH HHS CA113917NCI NIH HHS CA123329
6 · The paper itself

Abstract

The quantitative structure-property relationship (QSPR) method was used to model the fluorescence excitation wavelengths (lambda(ex)) of 42 boronic acid-based fluorescent biosensors (30 in the training set and 12 in the test set). In this QSPR study, unsupervised forward selection (UFS), stepwise multiple linear regression (SMLR), partial least squares regression (PLS) and associative neural networks (ASNN) were employed to simulate linear and nonlinear models. All models were validated by a test set and Tropsha's validation model. The resulting ASNN nonlinear model demonstrates significant improvement on the predictive ability of the neural network compared to the SMLR and PLS linear models. The descriptors used in the models are discussed in detail. These QSPR models are useful tools for the prediction of fluorescence excitation wavelengths of arylboronic acids.

Indexed as

Biosensing TechniquesComputer SimulationFluorescenceModels, ChemicalQuantitative Structure-Activity RelationshipBoronic AcidsMolecular StructureNeural Networks, ComputerBoronic Acids

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.