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Solving the 3-Satisfiability Problem Using Network-Based Biocomputation

Zhu, Jingyuan (author)
Lund University, Sweden
Salhotra, Aseem (author)
Linnéuniversitetet,Institutionen för kemi och biomedicin (KOB),Lund University, Sweden,Lund University; Linnaeus University
Meinecke, Christoph Robert (author)
Tech Univ Chemnitz, Germany
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Surendiran, Pradheebha (author)
Lund University, Sweden
Lyttleton, Roman (author)
Lund University, Sweden
Reuter, Danny (author)
Tech Univ Chemnitz, Germany;Fraunhofer Inst Elect Nano Syst ENAS, Germany
Kugler, Hillel (author)
Bar Ilan Univ, Israel
Diez, Stefan (author)
Tech Univ Dresden, Germany;Max Planck Inst Mol Cell Biol & Genet, Germany
Månsson, Alf (author)
Linnéuniversitetet,Institutionen för kemi och biomedicin (KOB),Avancerade material,Lund University, Sweden
Linke, Heiner (author)
Lund University, Sweden
Korten, Till (author)
Tech Univ Dresden, Germany
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 (creator_code:org_t)
2022-10-02
2022
English.
In: Advanced Intelligent Systems. - : John Wiley & Sons. - 2640-4567. ; 4:12
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The 3-satisfiability Problem (3-SAT) is a demanding combinatorial problem that is of central importance among the nondeterministic polynomial (NP) complete problems, with applications in circuit design, artificial intelligence, and logistics. Even with optimized algorithms, the solution space that needs to be explored grows exponentially with the increasing size of 3-SAT instances. Thus, large 3-SAT instances require excessive amounts of energy to solve with serial electronic computers. Network-based biocomputation (NBC) is a parallel computation approach with drastically reduced energy consumption. NBC uses biomolecular motors to propel cytoskeletal filaments through nanofabricated networks that encode mathematical problems. By stochastically exploring possible paths through the networks, the cytoskeletal filaments find possible solutions. However, to date, no NBC algorithm for 3-SAT has been available. Herein, an algorithm that converts 3-SAT into an NBC-compatible network format is reported and four small 3-SAT instances (with up to three variables and five clauses) using the actin-myosin biomolecular motor system are experimentally solved. Because practical polynomial conversions to 3-SAT exist for many important NP complete problems, the result opens the door to enable NBC to solve small instances of a wide range of problems.

Subject headings

NATURVETENSKAP  -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)
NATURVETENSKAP  -- Matematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Nanoteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Nano-technology (hsv//eng)
NATURVETENSKAP  -- Biologi -- Biofysik (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Biophysics (hsv//eng)

Keyword

molecular motors
nanofabrication
network-based biocomputation
nondeterministic polynomials
parallel computation
satisfiability problems
Biokemi
Biochemistry
Data- och informationsvetenskap
Computer and Information Sciences Computer Science

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