A General-Purpose Simulation Platform for Multicellular Molecular Communication Systems

This paper presents the design, implementation, and evaluation of a general-purpose simulation platform for multicellular molecular communication systems. Built on an agent-based model, the platform offers flexibility to simulate diverse multicellular systems, such as cancer spheroids and vascular-like networks. It incorporates efficient algorithms, including Cell-List and Barnes-Hut, for calculating cell-cell interaction forces and supports dynamic behaviors such as cell division, growth, and death. The platform’s capabilities are demonstrated through use cases, highlighting its versatility and coding efficiency. The simulation platform serves as a valuable tool for advancing research in molecular communication and understanding the collective behavior of complex multicellular systems.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Molecular Biological and Multi-Scale Communications
Published
2025-02-20
DOI
https://doi.org/10.1109/tmbmc.2025.3544141
Primary Topic
Molecular Communication and Nanonetworks
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A General-Purpose Simulation Platform for Multicellular Molecular Communication Systems

Tadashi Nakano, Takanori Saiki, Shouhei Kobayashi, Shohei Imanaka
IEEE Transactions on Molecular Biological and Multi-Scale Communications
Molecular Communication and Nanonetworks
article

A General-Purpose Simulation Platform for Multicellular Molecular Communication Systems

Tadashi Nakano, Takanori Saiki, Shouhei Kobayashi, Shohei Imanaka
article en

Abstract

This paper presents the design, implementation, and evaluation of a general-purpose simulation platform for multicellular molecular communication systems. Built on an agent-based model, the platform offers flexibility to simulate diverse multicellular systems, such as cancer spheroids and vascular-like networks. It incorporates efficient algorithms, including Cell-List and Barnes-Hut, for calculating cell-cell interaction forces and supports dynamic behaviors such as cell division, growth, and death. The platform’s capabilities are demonstrated through use cases, highlighting its versatility and coding efficiency. The simulation platform serves as a valuable tool for advancing research in molecular communication and understanding the collective behavior of complex multicellular systems.

IEEE Transactions on Molecular Biological and Multi-Scale CommunicationsVol. 11(2)
Osaka Metropolitan University (JP), Tokyo Metropolitan University (JP), National Institute of Information and Communications Technology (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 97%
Molecular Communication and Nanonetworks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.