Evidence map›Paper›PMID 29109507›Full record

ArticleScientific reports2017

Chemometric Evaluation of THz Spectral Similarity for the Selection of Early Drug Candidates.

Lukasz A Sterczewski, Kacper Nowak, Boguslaw Szlachetko, Michal P Grzelczak, Berenika Szczesniak-Siega, Stanislawa Plinska, Wieslaw Malinka, Edward F Plinski

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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
0.9field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  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

8 authors at 2 institutions in 2 countries.

Lukasz A SterczewskiWroclaw University of Science and Technology, Faculty of Electronics, 50-370, Wroclaw, Poland. lukasz.sterczewski@pwr.edu.pl.ORCID 0000-0003-1459-7517
Kacper NowakWroclaw University of Science and Technology, Faculty of Electronics, 50-370, Wroclaw, Poland.
Boguslaw SzlachetkoWroclaw University of Science and Technology, Faculty of Electronics, 50-370, Wroclaw, Poland.
Michal P GrzelczakWroclaw University of Science and Technology, Faculty of Electronics, 50-370, Wroclaw, Poland.
Berenika Szczesniak-SiegaWroclaw Medical University, Department of Chemistry of Drugs, 50-556, Wroclaw, Poland.
Stanislawa PlinskaWroclaw Medical University, Department of Inorganic Chemistry, 50-556, Wroclaw, Poland.
Wieslaw MalinkaWroclaw Medical University, Department of Chemistry of Drugs, 50-556, Wroclaw, Poland.
Edward F PlinskiWroclaw University of Science and Technology, Faculty of Electronics, 50-370, Wroclaw, Poland. edward.plinski@pwr.edu.pl.
Wrocław University of Science and Technology · PLWroclaw Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we discuss the link between the domain of physical parameters - molecular descriptors of a drug, and terahertz (THz) spectra. We measured the derivatives of the well-known anti-inflammatory drug Piroxicam using THz spectroscopy and employed Principal Component Analysis to build similarity maps in the molecular descriptor and spectral domains. We observed, that the spatial neighborhood on the molecular descriptors map is highly correlated with the spectral neighbourhood within a group of structurally-similar molecules. We built a Partial Least Squares (PLS) predictive model to quantify the relationship between the spectra and the melting point, which can guide the selection of early drug candidates.

Indexed as

Anti-Inflammatory AgentsDrug DevelopmentLeast-Squares AnalysisPiroxicamPrincipal Component AnalysisTerahertz SpectroscopyAnti-Inflammatory AgentsPiroxicam

Identifiers

PMID29109507
PMCPMC5674078
OpenAlexW2765172829

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.