Next Article in Journal
Pseudo Hermitian Interactions in the Dirac Equation
Next Article in Special Issue
Symmetry Breaking in NMR Spectroscopy: The Elucidation of Hidden Molecular Rearrangement Processes
Previous Article in Journal
Acknowledgement to Reviewers of Symmetry in 2013
Article Menu

Export Article

Open AccessArticle
Symmetry 2014, 6(1), 90-102; doi:10.3390/sym6010090

Using Symmetries (Beyond Geometric Symmetries) in Chemical Computations: Computing Parameters of Multiple Binding Sites

1
Department of Mathematical Sciences, University of Texas at El Paso, 500 W. University, El Paso, TX 79968, USA
2
Physics Department, University of Texas at El Paso, 500 W. University, El Paso, TX 79968, USA
3
Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, TX 79968, USA
*
Author to whom correspondence should be addressed.
Received: 9 May 2013 / Revised: 18 February 2014 / Accepted: 21 February 2014 / Published: 25 February 2014
(This article belongs to the Special Issue Chemical Applications of Symmetry)
View Full-Text   |   Download PDF [231 KB, uploaded 25 February 2014]   |  

Abstract

We show how transformation group ideas can be naturally used to generate efficient algorithms for scientific computations. The general approach is illustrated on the example of determining, from the experimental data, the dissociation constants related to multiple binding sites. We also explain how the general transformation group approach is related to the standard (backpropagation) neural networks; this relation justifies the potential universal applicability of the group-related approach.
Keywords: symmetries; transformation group approach; multiple binding sites; neural networks symmetries; transformation group approach; multiple binding sites; neural networks
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Ortiz, A.; Kreinovich, V. Using Symmetries (Beyond Geometric Symmetries) in Chemical Computations: Computing Parameters of Multiple Binding Sites. Symmetry 2014, 6, 90-102.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Symmetry EISSN 2073-8994 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top