loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Eileen Marie Hanna and Nazar Zaki

Affiliation: United Arab Emirates University, United Arab Emirates

Keyword(s): Google PageRank Algorithm, PPI, Protein Complex, Essential Protein, ProRank Algorithm.

Related Ontology Subjects/Areas/Topics: Algorithms and Software Tools ; Bioinformatics ; Biomedical Engineering ; Computational Molecular Systems

Abstract: The course of developing effective medical treatments is typically based on the identification of disease-triggering protein complexes. In this paper, we present ProRank+, an effective method for detecting protein complexes in protein interaction networks. By assuming that complexes may overlap, the method uses a ranking algorithm to order proteins based on their importance in the network. In addition, a novel merging procedure is introduced to refine the predicted complexes in terms of their members. The experimental studies and results showed that ProRank+ outperforms several state-of-the-art methods in terms of the number of correctly-detected protein complexes using numerous quality measures.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.15.223.239

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Hanna, E. and Zaki, N. (2014). ProRank+ - A Method for Detecting Protein Complexes in Protein Interaction Networks. In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2014) - BIOINFORMATICS; ISBN 978-989-758-012-3; ISSN 2184-4305, SciTePress, pages 239-244. DOI: 10.5220/0004910802390244

@conference{bioinformatics14,
author={Eileen Marie Hanna. and Nazar Zaki.},
title={ProRank+ - A Method for Detecting Protein Complexes in Protein Interaction Networks},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2014) - BIOINFORMATICS},
year={2014},
pages={239-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004910802390244},
isbn={978-989-758-012-3},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2014) - BIOINFORMATICS
TI - ProRank+ - A Method for Detecting Protein Complexes in Protein Interaction Networks
SN - 978-989-758-012-3
IS - 2184-4305
AU - Hanna, E.
AU - Zaki, N.
PY - 2014
SP - 239
EP - 244
DO - 10.5220/0004910802390244
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic