Diffusion-controlled enzyme-catalyzed molecular communication system for targeted drug delivery

In this paper, the prodrug activation capability of enzymes is used to model and study a molecular communication (MC) system for targeted drug delivery (TDD). Specifically, we string together fundamental ideas from nano-robotics, particle diffusion and enzyme-catalyzed kinetics, to present an MC-based TDD model using a set of ordinary differential equations (ODE). We also derived closed-form analytical expressions for the input and output information of the system, and present their corresponding numerical results. Results show that the ratio of the receiver surface area to the enzyme concentration is important to the system's performance in terms of the deliverable potent drug concentration at the targeted site.

[1]  X. Xie,et al.  When does the Michaelis-Menten equation hold for fluctuating enzymes? , 2006, The journal of physical chemistry. B.

[2]  Raviraj S. Adve,et al.  Molecular Communication in Fluid Media: The Additive Inverse Gaussian Noise Channel , 2010, IEEE Transactions on Information Theory.

[3]  C. Stein Estimation of the Mean of a Multivariate Normal Distribution , 1981 .

[4]  Tiranee Achalakul,et al.  Target finding and obstacle avoidance algorithm for microrobot swarms , 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[5]  Klaus Schulten,et al.  Lectures in Theoretical Biophysics , 2015 .

[6]  C. Mavroidis,et al.  Bio-Nanorobotics: State of the Art and Future Challenges , 2005 .

[7]  Amanda S. Barnard,et al.  Visualization of Hybridization in Nanocarbon Systems , 2005 .

[8]  Massimiliano Pierobon,et al.  Noise Analysis in Ligand-Binding Reception for Molecular Communication in Nanonetworks , 2011, IEEE Transactions on Signal Processing.

[9]  Chun Tung Chou,et al.  Molecular circuits for decoding frequency coded signals in nano-communication networks , 2012, Nano Commun. Networks.

[10]  R. Freitas Pharmacytes: an ideal vehicle for targeted drug delivery. , 2006, Journal of nanoscience and nanotechnology.

[11]  Kenneth A. Johnson,et al.  A century of enzyme kinetic analysis, 1913 to 2013 , 2013, FEBS letters.

[12]  Mikko Gynther,et al.  Prodrug Approaches for CNS Delivery , 2008, The AAPS Journal.

[13]  Athanasios V. Vasilakos,et al.  Transmission Rate Control for Molecular Communication among Biological Nanomachines , 2013, IEEE Journal on Selected Areas in Communications.

[14]  A. Vasilakos,et al.  Molecular Communication and Networking: Opportunities and Challenges , 2012, IEEE Transactions on NanoBioscience.

[15]  Ian F. Akyildiz,et al.  Nanonetworks: A new communication paradigm , 2008, Comput. Networks.

[16]  V. Muzykantov,et al.  Advanced drug delivery systems for antithrombotic agents. , 2013, Blood.

[17]  Tadashi Nakano,et al.  Principles and Methods for Nanomechatronics: Signaling, Structure, and Functions Toward Nanorobots , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[18]  G. Gellerman,et al.  Targeted drug delivery for cancer therapy: the other side of antibodies , 2012, Journal of Hematology & Oncology.

[19]  Petros Kefalas,et al.  Multi-agent system simulation of nano-robotic drug delivery in tumours of body tissues , 2013, 2013 17th International Conference on System Theory, Control and Computing (ICSTCC).

[20]  Massimiliano Pierobon,et al.  A Molecular Communication System Model for Particulate Drug Delivery Systems , 2013, IEEE Transactions on Biomedical Engineering.

[21]  N. Farsad,et al.  Microchannel molecular communication with nanoscale carriers: Brownian motion versus active transport , 2010, 10th IEEE International Conference on Nanotechnology.

[22]  Massimiliano Pierobon,et al.  Diffusion-Based Noise Analysis for Molecular Communication in Nanonetworks , 2011, IEEE Transactions on Signal Processing.

[23]  E. Ferreira,et al.  Advances in prodrug design. , 2005, Mini reviews in medicinal chemistry.

[24]  Robert Schober,et al.  Improving Receiver Performance of Diffusive Molecular Communication With Enzymes , 2013, IEEE Transactions on NanoBioscience.

[25]  Chun Tung Chou,et al.  Extended Master Equation Models for Molecular Communication Networks , 2012, IEEE Transactions on NanoBioscience.

[26]  A. Zelikin,et al.  Substrate Mediated Enzyme Prodrug Therapy , 2012, PloS one.

[27]  A. Cavalcanti,et al.  Nanorobotics control design: a collective behavior approach for medicine , 2005, IEEE Transactions on NanoBioscience.

[28]  A. Cornish-Bowden The origins of enzyme kinetics , 2013, FEBS letters.

[29]  Massimiliano Pierobon,et al.  Capacity of a Diffusion-Based Molecular Communication System With Channel Memory and Molecular Noise , 2013, IEEE Transactions on Information Theory.

[30]  Igor L. Medintz,et al.  Understanding enzymatic acceleration at nanoparticle interfaces: Approaches and challenges , 2014 .

[31]  Özgür B. Akan,et al.  Deterministic capacity of information flow in molecular nanonetworks , 2010, Nano Commun. Networks.

[32]  Freitas Robert A.Jr CURRENT STATUS OF NANOMEDICINE AND MEDICAL NANOROBOTICS , 2005 .

[33]  A. Szabó,et al.  Kinetics of reversible diffusion influenced reactions: The self-consistent relaxation time approximation , 2002 .

[34]  R. Sherwood Advanced drug delivery reviews : enzyme prodrug therapy , 1996 .