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

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

1,2
 and 3,*
Received: 9 May 2013; in revised form: 18 February 2014 / Accepted: 21 February 2014 / Published: 25 February 2014
(This article belongs to the Special Issue Chemical Applications of Symmetry)
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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 which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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.

AMA Style

Ortiz A, Kreinovich V. Using Symmetries (Beyond Geometric Symmetries) in Chemical Computations: Computing Parameters of Multiple Binding Sites. Symmetry. 2014; 6(1):90-102.

Chicago/Turabian Style

Ortiz, Andres; Kreinovich, Vladik. 2014. "Using Symmetries (Beyond Geometric Symmetries) in Chemical Computations: Computing Parameters of Multiple Binding Sites." Symmetry 6, no. 1: 90-102.


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