Quantum assisted Genetic Algorithm for Sequencing Compatible Amino Acids in Drug Design
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gp-bibliography.bib Revision:1.7975
- @InProceedings{Duela:2023:ICAECT,
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author = "Shiny Duela J and Umamageswari A and Prabavathi R and
Prashanth Umapathy and Raja K",
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booktitle = "2023 Third International Conference on Advances in
Electrical, Computing, Communication and Sustainable
Technologies (ICAECT)",
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title = "Quantum assisted Genetic Algorithm for Sequencing
Compatible Amino Acids in Drug Design",
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year = "2023",
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month = "5-6 " # jan,
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address = "Bhilai, India",
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keywords = "genetic algorithms, genetic programming, Drugs,
Proteins, Sequential analysis, Qubit, Quantum
mechanics, Genomics, Logic gates, Quantum genetic
algorithm, Quantum computing, Qubit encoding, Drug
design",
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DOI = "doi:10.1109/ICAECT57570.2023.10117673",
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size = "7 pages",
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abstract = "Using quantum computing for drug design is among the
most promising applications in quantum technologies.
Genetic algorithms with their evolutionary iterations
make it a propitious approach in various tasks,
including drug discovery, gene prediction, docking of
ligands to receptors, and the design to combinatorial
libraries. As its computational power and methods
limits classical computing, quantum computing intends
to break these limits with exponential computing
capabilities. This application complements both quantum
theory and genetic programming as we use true
randomness with mutation and fitness function based on
information encoded onto qubits storing quantum data.
In this article, we present the results of encoding
quantum data to our quantum genetic algorithm, which
predicts the best possible drug structure to bind onto
the target protein. The qubits hold the genome
structure to perform bit string mutation over quantum
gates. These results are later than compared to
classical computing with various approaches in the
evolutionary algorithm parameters.",
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notes = "Also known as \cite{10117673}
Department of Computer Science and Engineering, SRM
Institute of Science and Technology, Ramapuram Campus,
Chennai, India",
- }
Genetic Programming entries for
Shiny Duela J
Umamageswari A
Prabavathi R
Prashanth Umapathy
Raja K
Citations