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Current Pharmaceutical Biotechnology

Editor-in-Chief

ISSN (Print): 1389-2010
ISSN (Online): 1873-4316

General Review Article

Xenobots: Applications in Drug Discovery

Author(s): Nilay Solanki*, Sagar Mahant, Swayamprakash Patel, Mehul Patel, Umang Shah, Alkesh Patel, Hardik Koria and Ashish Patel

Volume 23, Issue 14, 2022

Published on: 29 August, 2022

Page: [1691 - 1703] Pages: 13

DOI: 10.2174/1389201023666220430154520

Price: $65

Abstract

This review work discusses the applications of xenobots in drug discovery. These are the world's first tiny robots that are living. Robots are built of metals and other things that benefit humans to solve various issues; however, in this case, small xenobots were built utilizing Xenopus laevis, frog embryonic stem cells in the blastocyte stage. Xenobots were created by combining bioscience, artificial intelligence, and computer science. Artificial intelligence constructs several forms of design in an in vitro, In-silico model, after which software analyzes the structure; the most substantial and most noticeable forms are filtered out. Later in vivo development create the design of the Petri plate using the MMR solution and makes the same form as the in silico approach. Ultimately evaluation done based on the behavior, movement, function, and features of xenobots. Xenobots are employed in medical research, pharmaceutical research to evaluate novel dosage forms, also useful for biotechnological and environmental research. Xenobots can be utilized to cure neurodegenerative disorders such as Alzheimer's, Parkinson's disease, and cancer-related issues because of their selfrepairing properties, which allow them to repair normal damaged cells, and convey drugs to their specific target, and reduce cytotoxicity in mostly malignancy circumstances. In the future, new approaches will be employed to treat chronic illnesses and their complications.

Keywords: Xenopus laevis, xenobots, in silico, in vivo, bioengineering, medical research, pharmaceutical research.

Graphical Abstract

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