ABOUT INDEXING BOARD ARCHIVES AUTHOR GUIDELINES SUBMIT PAPER AUTHORS'S SUBSCRIPTIONS AUTHORS'S PAGE PUBLISHING ETHICS NEWS, EVENTS
REVISTA DE CHIMIE
https://doi.org/10.37358/Rev.Chim.1949

OSIM Nr. R102355
ISSN 0034-7752 (Print ro)
ISSN 1582-9049 (Print en)
ISSN 2537-5733 (CD-ROM)
ISSN 2668-8212 (Online)
ISSN-L 1582-9049
Journal Metrics
* Impact Factor 2018-19: 1.605
* 5-Year IF: 1.34
* CiteScore: 1.23
* SNIP: 0.710
* SJR: 0.294
* H-Index: 25
* Self-Citation Ratio: 65.30 %
* IF Quartile: Q3
* Cited Articles: 51%
(academic-accelerator.com)
Crossref Member Badge
 DOI  logo

Chemistry Magazine

Latest Issue >>>

   Volume 71, 2020
   Volume 70, 2019
   Volume 69, 2018
   Volume 68, 2017
   Volume 67, 2016
   Volume 66, 2015
   Volume 65, 2014
   Volume 64, 2013
   Volume 63, 2012
   Volume 62, 2011
   Volume 61, 2010
   Volume 60, 2009
   Volume 59, 2008
   Volume 58, 2007
   Volume 57, 2006
   Volume 56, 2005
   Volume 55, 2004
   Volume 54, 2003
   Volume 53, 2002
 
<<<< back

Revista de Chimie, Volume 67, Issue 1, pp. (2016)




SORIN AVRAM, STEFANA AVRAM, CRISTINA DEHELEAN Effective Predictor of Human Mast Cell Tryptase Inhibitors

Abstract:

Mast cells (MCs) play a key role in the immune response to pathogens, in allergic and inflammatory reactions. Recently, increasing evidence has linked degranulated MCs to cancer through the presence of proangiogenic factors. Tryptase, a protease released from activated MCs granules has emerged as a potential target for tumor treatment. In this study, we aimed to develop a random forest model which is able to effectively classify tryptase inhibitors based on two-dimensional pharmacophore fingerprints. The external validation of the predictor demonstrated excellent performance with an AUC value of 0.953. Moreover, we highlight essential variables identified by the algorithm embedded in random forest. The hereby proposed classifier provides new means for the identification and optimization of tryptase inhibitors which are promising anti-angiogenic agents in the treatment of cancers. Keywords: mast cells, tryptase inhibitor, random forest, prediction model

Issue: 2016 Volume 67, Number 1
Pages:
download pdf   Download Pdf Article
 
Views number: 114    |     Downloads number: 24  
<<<< back
 
PUBLISHING SECTION
Author Guidelines
 * Ghidul Autorului (ro)
 * Paper Drafting
 * Paper Submission
 * Author Payments
 * Publishing Ethics
Submit Paper
Author's Page
  Search Authors
  Contact Us
 chimie
*REVISTA DE CHIMIE - 70 de ani de aparitie neintrerupta*

Un eveniment special pentru comunitatea stiintifica din Romania va fi organizat in data de
4 martie 2020
Hotel Hilton Athenee Palace Bucuresti
Sala Regina Maria
ora 9.30.

Va asteptam.
 Chemistry Conferences Conferences of Contemporary Chemistry
 Publicatii de Chimie Publicatii de Chimie in Romania.
Scurt istoric
 BIBLIOTECA CHIMIEI Biblioteca Chimiei
 Materiale Plastice Materiale Plastice