An Exploratory Analysis on Drug Target Locality. / Caceres Silva, Juan; Paccanaro, Alberto.

AGRANDA - Simposio Argentino de GRANdes DAtos 2017. 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Standard

An Exploratory Analysis on Drug Target Locality. / Caceres Silva, Juan; Paccanaro, Alberto.

AGRANDA - Simposio Argentino de GRANdes DAtos 2017. 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Caceres Silva, J & Paccanaro, A 2017, An Exploratory Analysis on Drug Target Locality. in AGRANDA - Simposio Argentino de GRANdes DAtos 2017.

APA

Caceres Silva, J., & Paccanaro, A. (2017). An Exploratory Analysis on Drug Target Locality. In AGRANDA - Simposio Argentino de GRANdes DAtos 2017

Vancouver

Caceres Silva J, Paccanaro A. An Exploratory Analysis on Drug Target Locality. In AGRANDA - Simposio Argentino de GRANdes DAtos 2017. 2017

Author

Caceres Silva, Juan ; Paccanaro, Alberto. / An Exploratory Analysis on Drug Target Locality. AGRANDA - Simposio Argentino de GRANdes DAtos 2017. 2017.

BibTeX

@inproceedings{5ad30714a6bf485bb7ab20228ef8f0b2,
title = "An Exploratory Analysis on Drug Target Locality",
abstract = "From a network medicine perspective, diseases arecaused by perturbations in the dynamics of multiple interactinggenes - a disease module. A drug that is a suitable candidatefor re-purposing, should affect perturbed disease modules otherthan the one for which it was designed. In other words, itmust act on various disease modules. A systematic analysisof re purposing suitability requires deeper understanding ofdrug target modularity. In this paper, we present a large-scaleanalysis of drug-target relationships, evaluating the locality ofdrug targets in protein-protein interaction networks. We showthat the various drugs in each category affect different regions inbiological networks, and present modular features. Additionally,multiple targets associated to the same drug appear close in theinteractome. Our statistical analysis of the functions of the knowndrug targets reveals that peripheral functions of disease modules,such as signalling, are common targets for many drugs.",
author = "{Caceres Silva}, Juan and Alberto Paccanaro",
year = "2017",
month = sep,
language = "English",
booktitle = "AGRANDA - Simposio Argentino de GRANdes DAtos 2017",

}

RIS

TY - GEN

T1 - An Exploratory Analysis on Drug Target Locality

AU - Caceres Silva, Juan

AU - Paccanaro, Alberto

PY - 2017/9

Y1 - 2017/9

N2 - From a network medicine perspective, diseases arecaused by perturbations in the dynamics of multiple interactinggenes - a disease module. A drug that is a suitable candidatefor re-purposing, should affect perturbed disease modules otherthan the one for which it was designed. In other words, itmust act on various disease modules. A systematic analysisof re purposing suitability requires deeper understanding ofdrug target modularity. In this paper, we present a large-scaleanalysis of drug-target relationships, evaluating the locality ofdrug targets in protein-protein interaction networks. We showthat the various drugs in each category affect different regions inbiological networks, and present modular features. Additionally,multiple targets associated to the same drug appear close in theinteractome. Our statistical analysis of the functions of the knowndrug targets reveals that peripheral functions of disease modules,such as signalling, are common targets for many drugs.

AB - From a network medicine perspective, diseases arecaused by perturbations in the dynamics of multiple interactinggenes - a disease module. A drug that is a suitable candidatefor re-purposing, should affect perturbed disease modules otherthan the one for which it was designed. In other words, itmust act on various disease modules. A systematic analysisof re purposing suitability requires deeper understanding ofdrug target modularity. In this paper, we present a large-scaleanalysis of drug-target relationships, evaluating the locality ofdrug targets in protein-protein interaction networks. We showthat the various drugs in each category affect different regions inbiological networks, and present modular features. Additionally,multiple targets associated to the same drug appear close in theinteractome. Our statistical analysis of the functions of the knowndrug targets reveals that peripheral functions of disease modules,such as signalling, are common targets for many drugs.

M3 - Conference contribution

BT - AGRANDA - Simposio Argentino de GRANdes DAtos 2017

ER -