Bio-Inspired Optimization for Medical Data Mining

9Artificial Immune System Algorithms for Optimizing Nanoparticle Design in Targeted Drug Delivery

Ashish Kumar* and Vivek Verma

Manipal University Jaipur, Rajasthan, India

Abstract

Our immune system serves as the body’s security force. It constantly scans the environment for undesirable elements like bacteria, viruses, and even microscopic foreign substances like nanoparticles. It seeks to destroy anything it finds that doesn’t belong. Therefore, we must take precautions to prevent immune system attack and destruction of nanoparticles used to deliver medications to cells in our bodies. Scientists have created a few techniques to accomplish this. One approach is to cover the nanoparticles with unique chemicals that give them the appearance of being a part of the body. These compounds may comprise naturally occurring proteins or carbohydrates in our bodies. The immune system doesn’t target these coated nanoparticles because it doesn’t recognize them as being foreign when it sees them. Making the nanoparticles small enough to get past the body’s natural defenses is another option. Small particles are harder for our immune system to find and recognize. The nanoparticles can therefore avoid detection and enter their target cells if we make them small enough. A computational method called an artificial immune system (AIS) algorithm can be used to create nanoparticles that bypass the immune system and deliver medications to specific cells. The AIS algorithm is inspired by the natural ...