A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets

Giuseppe Parasiliti, Marzio Pennisi, Pietro Biondi, Giuseppe Sgroi, Giulia Russo, Christian Napoli, Francesco Pappalardo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages323-328
Number of pages6
ISBN (Electronic)9781728116440
DOIs
Publication statusPublished - 19 Mar 2019
Externally publishedYes
Event27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2019 - Pavia, Italy
Duration: 13 Feb 201915 Feb 2019

Publication series

NameProceedings - 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2019

Conference

Conference27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2019
Country/TerritoryItaly
CityPavia
Period13/02/1915/02/19

Keywords

  • Biochemical Pathway
  • MAPK1
  • MapReduce
  • Python
  • gene
  • therapeutic target

Fingerprint

Dive into the research topics of 'A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets'. Together they form a unique fingerprint.

Cite this