We present here a novel algorithm based on a MapReduce approach to facilitate the discovery of novel therapeutic targets. The proposed algorithm has been enabled to scan a set biological pathways in order to discover non-trivial (less common) routes. Such routes represent a chain of biochemical interactions among different biological actors. These actors can be represented by quite distant nodes along the devised pathway. Our approach detects nodes that are far from the initial target nodes, also showing the number of times that a given route has been found inside the selected set of biological pathways.
A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets / Parasiliti, Giuseppe; Pennisi, Marzio; Biondi, Pietro; Sgroi, Giuseppe; Russo, Giulia; Napoli, Christian; Pappalardo, Francesco. - (2019), pp. 323-328. (Intervento presentato al convegno 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2019 tenutosi a Pavia; Italy) [10.1109/EMPDP.2019.8671609].
A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets
Napoli, Christian
;
2019
Abstract
We present here a novel algorithm based on a MapReduce approach to facilitate the discovery of novel therapeutic targets. The proposed algorithm has been enabled to scan a set biological pathways in order to discover non-trivial (less common) routes. Such routes represent a chain of biochemical interactions among different biological actors. These actors can be represented by quite distant nodes along the devised pathway. Our approach detects nodes that are far from the initial target nodes, also showing the number of times that a given route has been found inside the selected set of biological pathways.File | Dimensione | Formato | |
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