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<p><b>Peptide computing</b> is a form of <a href="Computing" title="Computing">computing</a> which uses <a href="Peptide" title="Peptide">peptides</a>, instead of traditional <a href="Electronic_component" title="Electronic component">electronic components</a>. The basis of this computational model is the affinity of <a href="Antibodies" class="mw-redirect" title="Antibodies">antibodies</a> towards peptide sequences. Similar to <a href="DNA_computing" title="DNA computing">DNA computing</a>, the parallel interactions of peptide sequences and antibodies have been used by this model to solve a few <a href="NP-complete" class="mw-redirect" title="NP-complete">NP-complete</a> problems. Specifically, the <a href="Hamiltonian_path_problem" title="Hamiltonian path problem">hamiltonian path problem</a> (HPP) and some versions of the <a href="Set_cover_problem" title="Set cover problem">set cover problem</a> are a few NP-complete problems which have been solved using this computational model so far. This model of computation has also been shown to be <a href="Turing_completeness" title="Turing completeness">computationally universal</a> (or Turing complete).
</p><p>This model of computation has some critical advantages over <a href="DNA_computing" title="DNA computing">DNA computing</a>. For instance, while <a href="DNA" title="DNA">DNA</a> is made of four building blocks, <a href="Peptide" title="Peptide">peptides</a> are made of twenty building blocks. The peptide-antibody interactions are also more flexible with respect to recognition and affinity than an interaction between a DNA strand and its reverse complement. However, unlike DNA computing, this model is yet to be practically realized. The main limitation is the availability of specific <a href="Monoclonal_antibodies" class="mw-redirect" title="Monoclonal antibodies">monoclonal antibodies</a> required by the model.
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<div class="mw-heading mw-heading2"><h2 id="See_also">See also</h2></div>
<ul><li><a href="Biocomputers" class="mw-redirect" title="Biocomputers">Biocomputers</a></li>
<li><a href="Computational_gene" title="Computational gene">Computational gene</a></li>
<li><a href="Computational_complexity_theory" title="Computational complexity theory">Computational complexity theory</a></li>
<li><a href="DNA_computing" title="DNA computing">DNA computing</a></li>
<li><a href="Molecular_electronics" title="Molecular electronics">Molecular electronics</a></li>
<li><a href="Parallel_computing" title="Parallel computing">Parallel computing</a></li>
<li><a href="Unconventional_computing" title="Unconventional computing">Unconventional computing</a></li>
<li><a href="Molecular_logic_gate" title="Molecular logic gate">Molecular logic gate</a></li></ul>
<div class="mw-heading mw-heading2"><h2 id="References">References</h2></div>
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</style><cite id="CITEREFM._Sakthi_BalanKamala_KrithivasanY._Sivasubramanyam2001" class="citation book cs1">M. Sakthi Balan; <a href="Kamala_Krithivasan" title="Kamala Krithivasan">Kamala Krithivasan</a>; Y. Sivasubramanyam (2001). <a rel="nofollow" class="external text" href="http://www.csd.uwo.ca/~sakthi/hpp_revised.ps"><i>Peptide Computing - Universality and Complexity</i></a>. Lecture Notes in Computer Science. Vol. 2340. pp. <span class="nowrap">290–</span>299. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1007%2F3-540-48017-X_27">10.1007/3-540-48017-X_27</a>. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>978-3-540-43775-8</bdi>.</cite></li></ul>
<ul><li><cite id="CITEREFHubert_HugRainer_Schuler2001" class="citation journal cs1">Hubert Hug & Rainer Schuler (2001). "Strategies for the development of a peptide computer". <i>Bioinformatics</i>. <b>17</b> (4): <span class="nowrap">364–</span>368. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1093%2Fbioinformatics%2F17.4.364">10.1093/bioinformatics/17.4.364</a>. <a href="PMID_(identifier)" class="mw-redirect" title="PMID (identifier)">PMID</a> <a rel="nofollow" class="external text" href="https://pubmed.ncbi.nlm.nih.gov/11301306">11301306</a>.</cite></li></ul>
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