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Network controllability solutions for computational drug repurposing using genetic algorithms.

ABSTRACT: Control theory has seen recently impactful applications in network science, especially in connections with applications in network medicine. A key topic of research is that of finding minimal external interventions that offer control over the dynamics of a given network, a problem known as network controllability. We propose in this article a new solution for this problem based on genetic algorithms. We tailor our solution for applications in computational drug repurposing, seeking to maximize its use of FDA-approved drug targets in a given disease-specific protein-protein interaction network. We demonstrate our algorithm on several cancer networks and on several random networks with their edges distributed according to the Erdős-Rényi, the Scale-Free, and the Small World properties. Overall, we show that our new algorithm is more efficient in identifying relevant drug targets in a disease network, advancing the computational solutions needed for new therapeutic and drug repurposing approaches.

SUBMITTER: Popescu VB

PROVIDER: S-EPMC8791995 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Network controllability solutions for computational drug repurposing using genetic algorithms.

Popescu Victor-Bogdan VB Kanhaiya Krishna K Năstac Dumitru Iulian DI Czeizler Eugen E Petre Ion I

Scientific reports 20220126 1

Control theory has seen recently impactful applications in network science, especially in connections with applications in network medicine. A key topic of research is that of finding minimal external interventions that offer control over the dynamics of a given network, a problem known as network controllability. We propose in this article a new solution for this problem based on genetic algorithms. We tailor our solution for applications in computational drug repurposing, seeking to maximize i ...[more]

PMID: 35082323

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Dataset Information

Network controllability solutions for computational drug repurposing using genetic algorithms.

Publications

Network controllability solutions for computational drug repurposing using genetic algorithms.

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