Peptide computer

In theory, a peptide computer should compute with peptides and biochemical reactions compared to traditional computer technologies that work on silicon. This calculation model is based on the affinity of antibodies to peptide sequences. Similar to the DNA computer , this model used the parallel interactions of peptide sequences and antibodies to solve some NP-complete problems. In particular, the Hamilton path problem(HPP) and some versions of the set cover problem are some NP-complete problems that have so far been partially solved with this calculation model. It has also been shown that this calculation model is universal (or complete).

This calculation model offers several decisive advantages over DNA calculations. For example, while DNA consists of four components, peptides consist of twenty components. The peptide-antibody interactions are also more flexible in terms of recognition and affinity than an interaction between a DNA strand and its reverse complement. In contrast to DNA computing, however, this model has yet to be put into practice. The main limitation is the availability of specific monoclonal antibodies required by the model.

A peptide computer could not yet be put into practice. The idea of ​​the peptide calculator should not be confused with the search for new types of storage, whereby peptides as a stable storage form would have advantages over conventional storage systems based on magnets.

See also

• DNA computer
• Parallel computer
• Quantum computer

literature

• M. Sakthi Balan, Kamala Krithivasan, Y. Sivasubramanyam: Peptide Computing - Universality and Complexity . In: Lecture Notes in Computer Science . Vol. 2340, 2001, ISBN 3-540-43775-4 , pp. 290-299 , doi : 10.1007 / 3-540-48017-X_27 ( uwo.ca ).
• Hubert Hug, Rainer Schuler: Strategies for the development of a peptide computer . In: Bioinformatics . Vol. 17, No. 4 , April 2001, p. 364-368 , doi : 10.1093 / bioinformatics / 17.4.364 , PMID 11301306 .

Individual evidence

1. ↑ M. Sakthi BalanHelmut Juergensen: Peptide Computers. 2012, accessed on March 15, 2020 . 
2. ↑ M. Sakthi Balan, Helmut Jürgensen: Peptide Computing - Universality and Theoretical Model . In: Unconventional Computation (=  Lecture Notes in Computer Science ). Springer, Berlin, Heidelberg 2006, ISBN 978-3-540-38594-3 , pp. 57–71 , doi : 10.1007 / 11839132_6 ( springer.com [accessed March 15, 2020]).
3. ↑ M. Sakthi Balan: Tutorial on Molecular Computing. In: Tutorial on Molecular Computing. Infosys Techologies Limited Bangalore, accessed March 15, 2020 . 
4. ↑ Nadja Podbregar: Peptides as long-term data storage? In: scinexx | The knowledge magazine . May 6, 2019 ( scinexx.de [accessed March 15, 2020]).