In Silico Modeling and Simulation for Diabetes Therapy

Foundations of Diabetes Technology

Author(s): Darshna M. Joshi*, Hardik Bhatt* and Himanshu K. Patel *

Pp: 11-45 (35)

DOI: 10.2174/9798898813635126010006

* (Excluding Mailing and Handling)

Abstract

This chapter covers the foundations of diabetes technology, discussing important topics like disease mechanisms, causes, risk factors, and associated complications. An urgent need for advancements in diabetes technology is emphasized so that it can reduce the complications associated with diabetes and enhance the lifestyle of affected individuals with preventive healthcare. It further discusses the classes of molecules and the genetic-level analysis of drug-receptor interactions, along with the role of receptors and drugs in detail. The kinetics of insulin with receptors are investigated, ranging from short-acting to ultra-long-acting insulin. There is a thorough discussion of in silico modeling, the effects of genetic variants on drug-receptor interactions, and the main medications used to treat diabetes. The chapter concludes with a discussion of the different risk factors and how they affect the management of diabetes. As a result, this chapter provides a solid research basis for both the present and upcoming areas of diabetes technology. 


Keywords: Computational, Complications, Disease mechanism, Drug-receptor, In silico, Risk factors.