activity
20092023
most citedIdentifying efficient controls of complex interaction networks using genetic algorithms

3 citations · 7 across the 7 of their papers we have counts for

collaborators

9 papers

cs.DM2023

Strong regulatory graphs

Patric Gustafsson, Ion Petre

Logical modeling is a powerful tool in biology, offering a system-level understanding of the complex interactions that govern biological processes. A gap that hinders the scalabili…

q-bio.MN2021

Network analytics for drug repurposing in COVID-19

Nicoleta Siminea, Victor Popescu, Jose Angel Sanchez Martin +14

To better understand the potential of drug repurposing in COVID-19, we analyzed control strategies over essential host factors for SARS-CoV-2 infection. We constructed comprehensiv…

q-bio.MN2021

Towards Scalable Modeling of Biology in Event-B

Usman Sanwal, Thai Son Hoang, Luigia Petre +1

Biology offers many examples of large-scale, complex, concurrent systems: many processes take place in parallel, compete on resources and influence each other's behavior. The scala…

q-bio.MN2021★ 2 cited

Network modeling methods for precision medicine

Elio Nushi, Victor-Bogdan Popescu, Jose Angel Sanchez Martin +3

We discuss in this survey several network modeling methods and their applicability to precision medicine. We review several network centrality methods (degree centrality, closeness…

eess.SY2020

Controllability of reaction systems

Sergiu Ivanov, Ion Petre

Controlling a dynamical system is the ability of changing its configuration arbitrarily through a suitable choice of inputs. It is a very well studied concept in control theory, wi…

q-bio.MN2020★ 3 cited

Identifying efficient controls of complex interaction networks using genetic algorithms

Victor-Bogdan Popescu, Krishna Kanhaiya, Iulian Năstac +2

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 find…