A landscape for drug-target interactions based on network analysis.

ABSTRACT: In this work, we performed an analysis of the networks of interactions between drugs and their targets to assess how connected the compounds are. For our purpose, the interactions were downloaded from the DrugBank database, and we considered all drugs approved by the FDA. Based on topological analysis of this interaction network, we obtained information on degree, clustering coefficient, connected components, and centrality of these interactions. We identified that this drug-target interaction network cannot be divided into two disjoint and independent sets, i.e., it is not bipartite. In addition, the connectivity or associations between every pair of nodes identified that the drug-target network is constituted of 165 connected components, where one giant component contains 4376 interactio

SUBMITTER: Galan-Vasquez E 

PROVIDER: S-EPMC7968663 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature