Article

Fuzzy logic with biomolecules

Soft Computing (impact factor: 1.88). 01/2001; 5(1):2-9. DOI:10.1007/s005000000060 pp.2-9

ABSTRACT  The uncertain and inexact nature of the chemical reactions used to implement DNA computations can be turned into an advantage
for implementing robust soft computing systems. The key feature of DNA hybridization that makes it appropriate for fuzzy computing
is the uncertainty and incompleteness in the formation of a double-stranded duplex from single-stranded oligonucleotides.
To implement fuzzy computing, a set of encoding DNA molecules is given that reproduces a specific membership function in the
energetics of the DNA duplex. In addition, a fuzzy inference system implemented with DNA hybridization on solid supports is
discussed. The ultimate success of this idea as a general technique, however, is dependent on the actual geometry of the Gibbs
free-energy landscapes in the space of all duplex formations. Elucidating this problem is undoubtedly of great importance
for biomolecular implementation of soft-computing because it may, in particular, shed light on the true import of fuzzy models
in biological processes fundamental to life.

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Keywords

appropriate
 
biological processes fundamental
 
chemical reactions
 
dependent
 
DNA computations
 
DNA hybridization
 
double-stranded duplex
 
encoding DNA molecules
 
fuzzy
 
fuzzy inference system
 
fuzzy models
 
great importance
 
key feature
 
reproduces
 
robust soft
 
specific membership function
 
systems
 
The uncertain
 
ultimate success
 

R. Deaton