scholarly journals Cancer classification with a network of chemical oscillators

2017 ◽  
Vol 19 (42) ◽  
pp. 28808-28819 ◽  
Author(s):  
Konrad Gizynski ◽  
Jerzy Gorecki
Keyword(s):  
Information Processing ◽  
Cancer Classification ◽  
Chemical Information ◽  
Chemical Oscillators

We discuss chemical information processing considering dataset classifiers formed with a network of interacting droplets.

scholarly journals Applications of Information Theory Methods for Evolutionary Optimization of Chemical Computers

Entropy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 313 ◽  
Author(s):  
Jerzy Gorecki
Keyword(s):  
Information Theory ◽  
Information Processing ◽  
Chemical Reactions ◽  
Chemical Information ◽  
Real Numbers ◽  
Top Down ◽  
Chemical Oscillators ◽  
Living Organisms ◽  
Computing Structure ◽  
Simple Network

It is commonly believed that information processing in living organisms is based on chemical reactions. However, the human achievements in constructing chemical information processing devices demonstrate that it is difficult to design such devices using the bottom-up strategy. Here I discuss the alternative top-down design of a network of chemical oscillators that performs a selected computing task. As an example, I consider a simple network of interacting chemical oscillators that operates as a comparator of two real numbers. The information on which of the two numbers is larger is coded in the number of excitations observed on oscillators forming the network. The parameters of the network are optimized to perform this function with the maximum accuracy. I discuss how information theory methods can be applied to obtain the optimum computing structure.

Textual and chemical information processing using parallel computer hardware

1989 ◽  
Vol 15 (4-5) ◽  
pp. 223-236 ◽  
Author(s):  
Peter Willett
Keyword(s):  
Cluster Analysis ◽  
Information Processing ◽  
Text Retrieval ◽  
Computer Hardware ◽  
Parallel Computer ◽  
Chemical Information ◽  
Array Processor ◽  
General Introduction ◽  
Chemical Structures ◽  
Common Substructure

This paper discusses the use of parallel computer hardware to increase the efficiency of processing in databases of text and chemical structures. After a general introduction to parallelism, two types of parallel computer are described: the ICL Distrib uted Array Processor and the INMOS Transputer. Experimen tal results are presented of the use of the DAP for cluster analysis, of the transputer for chemical substructure and maxi mal common substructure searching, and of both machines for text retrieval.

Graph potentials method and its application for chemical information processing

1981 ◽  
Vol 21 (4) ◽  
pp. 196-204 ◽  
Author(s):  
V. E. Golender ◽  
V. V. Drboglav ◽  
A. B. Rosenblit
Keyword(s):  
Information Processing ◽  
Chemical Information

scholarly journals Exploring the intrinsic behaviour of multisite phosphorylation systems as part of signalling pathways

2018 ◽  
Vol 15 (143) ◽  
pp. 20180109 ◽  
Author(s):  
Thapanar Suwanmajo ◽  
J. Krishnan
Keyword(s):  
Information Processing ◽  
Systems Biology ◽  
Synthetic Biology ◽  
Cell Signalling ◽  
Enzyme Activation ◽  
Signalling Pathways ◽  
Chemical Information ◽  
Intrinsic Kinetics ◽  
Multisite Phosphorylation

Multisite phosphorylation is a basic way of chemically encoding substrate function and a recurring feature of cell signalling pathways. A number of studies have explored information processing characteristics of multisite phosphorylation, through studies of the intrinsic kinetics. Many of these studies focus on the module in isolation. In this paper, we build a bridge to connect the behaviour of multisite modification in isolation to that as part of pathways. We study the effect of activation of the enzymes (which are basic ways in which the module may be regulated), as well the effects of the modified substrates being involved in further modifications or exiting reaction compartments. We find that these effects can induce multiple kinds of transitions, including to behaviour not seen intrinsically in the multisite modification module. We then build on these insights to investigate how these multisite modification systems can be tuned by enzyme activation to realize a range of information processing outcomes for the design of synthetic phosphorylation circuits. Connecting the complexity of multisite modification kinetics, with the pathways in which they are embedded, serves as a basis for teasing out many aspects of their interaction, providing insights of relevance in systems biology, synthetic biology/chemistry and chemical information processing.

Self-Evolution in a Constructive Binary String System

1998 ◽  
Vol 4 (2) ◽  
pp. 203-220 ◽  
Author(s):  
Peter Dittrich ◽  
Wolfgang Banzhaf
Keyword(s):  
Information Processing ◽  
Artificial Selection ◽  
Binary String ◽  
Chemical Information ◽  
Raw Data ◽  
Selection Operators ◽  
Qualitative Dynamics ◽  
Binary Strings ◽  
Self Organizing

We examine the qualitative dynamics of a catalytic self-organizing system of binary strings that is inspired by the chemical information processing metaphor. A string is interpreted in two different ways: either (a) as raw data or (b) as a machine that is able to process another string as data in order to produce a third one. This article focuses on the phenomena of evolution whose appearance is notable because no explicit mutation, recombination, or artificial selection operators are introduced. We call the system self-evolving because every variation is performed by the objects themselves in their machine form.

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