Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions
Quantum Natural Language Processing (QNLP) is a relatively new subfield of research that extends the application of principles of natural language processing and quantum computing that has enabled the processing of complex biological information to unprecedented levels. The present comprehensive rev...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Computer Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcomp.2025.1464122/full |
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| author | Gundala Pallavi Rangarajan Prasanna Kumar |
| author_facet | Gundala Pallavi Rangarajan Prasanna Kumar |
| author_sort | Gundala Pallavi |
| collection | DOAJ |
| description | Quantum Natural Language Processing (QNLP) is a relatively new subfield of research that extends the application of principles of natural language processing and quantum computing that has enabled the processing of complex biological information to unprecedented levels. The present comprehensive review analyses the potential of QNLP in influencing many branches of bioinformatics such as genomic sequence analysis, protein structure prediction, and drug discovery and design. To establish a correct background of QNLP techniques, this article is going to explore the basics of quantum computing including qubits, quantum entanglement, and quantum algorithms. The next section is devoted to the application of QNLP in the extraction of material and valuable information and knowledge related to drug discovery and development, prediction and assessment of drug-target interactions. In addition, the paper also explains the application of QNLP in protein structural prediction by quantum embedding, quantum simulation, and quantum optimization for exploring the sequence-structure relationship. However, this study also acknowledges the future of QNLP in bioinformatics in the discussion of the challenges and weaknesses of quantum hardware, data representation, encoding, and the construction and enhancement of the algorithms. This looks into real-life problems solved from industry applications, benchmarking and assessment criteria, and a comparison with other traditional NLP methods. Therefore, the review enunciates the research and application perspectives, as well as the developmental and implementation blueprint for QNLP in bioinformatics. The plan is as follows: its function is to achieve the objectives of precision medicine, new protein design, multi-omics, and green chemistry. |
| format | Article |
| id | doaj-art-d43d9883228341a2a7f8bb76d82a9ab9 |
| institution | DOAJ |
| issn | 2624-9898 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computer Science |
| spelling | doaj-art-d43d9883228341a2a7f8bb76d82a9ab92025-08-20T02:43:16ZengFrontiers Media S.A.Frontiers in Computer Science2624-98982025-02-01710.3389/fcomp.2025.14641221464122Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directionsGundala PallaviRangarajan Prasanna KumarQuantum Natural Language Processing (QNLP) is a relatively new subfield of research that extends the application of principles of natural language processing and quantum computing that has enabled the processing of complex biological information to unprecedented levels. The present comprehensive review analyses the potential of QNLP in influencing many branches of bioinformatics such as genomic sequence analysis, protein structure prediction, and drug discovery and design. To establish a correct background of QNLP techniques, this article is going to explore the basics of quantum computing including qubits, quantum entanglement, and quantum algorithms. The next section is devoted to the application of QNLP in the extraction of material and valuable information and knowledge related to drug discovery and development, prediction and assessment of drug-target interactions. In addition, the paper also explains the application of QNLP in protein structural prediction by quantum embedding, quantum simulation, and quantum optimization for exploring the sequence-structure relationship. However, this study also acknowledges the future of QNLP in bioinformatics in the discussion of the challenges and weaknesses of quantum hardware, data representation, encoding, and the construction and enhancement of the algorithms. This looks into real-life problems solved from industry applications, benchmarking and assessment criteria, and a comparison with other traditional NLP methods. Therefore, the review enunciates the research and application perspectives, as well as the developmental and implementation blueprint for QNLP in bioinformatics. The plan is as follows: its function is to achieve the objectives of precision medicine, new protein design, multi-omics, and green chemistry.https://www.frontiersin.org/articles/10.3389/fcomp.2025.1464122/fullquantum natural language processingbioinformaticssustainabilitydrug discoveryknowledge extractionprotein prediction |
| spellingShingle | Gundala Pallavi Rangarajan Prasanna Kumar Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions Frontiers in Computer Science quantum natural language processing bioinformatics sustainability drug discovery knowledge extraction protein prediction |
| title | Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions |
| title_full | Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions |
| title_fullStr | Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions |
| title_full_unstemmed | Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions |
| title_short | Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions |
| title_sort | quantum natural language processing and its applications in bioinformatics a comprehensive review of methodologies concepts and future directions |
| topic | quantum natural language processing bioinformatics sustainability drug discovery knowledge extraction protein prediction |
| url | https://www.frontiersin.org/articles/10.3389/fcomp.2025.1464122/full |
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