This paper provides an overview of the use of Prolog and its derivatives to sustain research and development in the fields of bioinformatics and computational biology. A number of applications in this domain have been enabled by the declarative nature of Prolog and the combinatorial nature of the underlying problems. The paper provides a summary of some relevant applications as well as potential directions that the Prolog community can continue to pursue in this important domain. The presentation is organized in two parts: “small,” which explores studies in biological components and systems, and “large,” that discusses the use of Prolog to handle biomedical knowledge and data. A concrete encoding example is presented and the effective implementation in Prolog of a widely used approximated search technique, large neighborhood search, is presented.

Prolog Meets Biology / Dal Palu, A.; Dovier, A.; Formisano, A.; Pontelli, E.. - 13900:(2023), pp. 318-333. [10.1007/978-3-031-35254-6_26]

Prolog Meets Biology

Dal Palu A.;Dovier A.;Formisano A.;
2023-01-01

Abstract

This paper provides an overview of the use of Prolog and its derivatives to sustain research and development in the fields of bioinformatics and computational biology. A number of applications in this domain have been enabled by the declarative nature of Prolog and the combinatorial nature of the underlying problems. The paper provides a summary of some relevant applications as well as potential directions that the Prolog community can continue to pursue in this important domain. The presentation is organized in two parts: “small,” which explores studies in biological components and systems, and “large,” that discusses the use of Prolog to handle biomedical knowledge and data. A concrete encoding example is presented and the effective implementation in Prolog of a widely used approximated search technique, large neighborhood search, is presented.
2023
9783031352539
9783031352546
Prolog Meets Biology / Dal Palu, A.; Dovier, A.; Formisano, A.; Pontelli, E.. - 13900:(2023), pp. 318-333. [10.1007/978-3-031-35254-6_26]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/3008355
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