Drug Discovery Acceleration Using Digital Microfluidic Biochip Architecture and Computer-aided-design Flow

نویسندگان

  • A. Jahanian Department of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran
  • M. Taajobian Department of Computer Engineering Mahdishahr Branch, Azad University, Tehran, Iran
  • S. Momtahen Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
چکیده مقاله:

A Digital Microfluidic Biochip (DMFB) offers a promising platform for medical diagnostics, DNA sequencing, Polymerase Chain Reaction (PCR), and drug discovery and development. Conventional Drug discovery procedures require timely and costly manned experiments with a high degree of human errors with no guarantee of success. On the other hand, DMFB can be a great solution for miniaturization, integration, automation, and cost reduction of drug discovery. DMFB can improve the parallelism of drug discovery procedures; since most procedures in drug discovery are concurrent and parallel, DMB can reduce the execution time of these bioassays. Therefore, there is a critical need to develop DMFBs to speed up the drug discovery applications and improve cost and error of these reactions. In this paper, a new architecture is used for drug discovery applications. The architecture is evaluated and compared with FPPC architecture. The experimental results prove that the new architecture is faster and cheaper than FPPC; it reduces all the important parameters such as total execution time, number of controlling pins, CAD algorithm execution time, and the area usage and its costs. There is an urgent need for collaboration between experts of drug discovery, microfluidic platform architecture and also machine learning to design a data-driven microfluidic architecture which improves the CAD algorithms by learning from prior knowledge.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Computer-aided drug discovery

Computational approaches are an integral part of interdisciplinary drug discovery research. Understanding the science behind computational tools, their opportunities, and limitations is essential to make a true impact on drug discovery at different levels. If applied in a scientifically meaningful way, computational methods improve the ability to identify and evaluate potential drug molecules, ...

متن کامل

Computer Aided Drug Design: A Promising Approach for Drug Discovery

In the field of pharmaceutical sciences, the drug discovery is an interdisciplinary approach by which new potential drug candidates are discovered. Traditionally, new drug molecules were discovered through identifying the active principles from natural sources or by serendipitous discovery. But it was time consuming and expensive. As a result, in the last few years there has been a technologica...

متن کامل

Computer Aided Drug Design: A Novel Loom To Drug Discovery

Initially, the design of new drugs was based on the prototypical molecule, usually a natural product and making structural modifications. For designing of new drugs the understanding of the etiology of the disease and the structure of the receptor where the ligand (drug) will bind is very much important. Now a day, there is increasing computational power coupled with applicable software, has le...

متن کامل

Computer Aided Drug Discovery ( Structure - Based Andligand - Based ) Design

Driven by chemistry but increasingly guided by pharmacology and the clinical sciences, drug research has contributed more to the progress of medicine during the past century than any other scientific factor. Computer based drug design is an alternative to the conventional process of drug development. It involves modifying a known drug for new therapeutic indication using computer technology. It...

متن کامل

Computer-Aided Drug Discovery in Plant Pathology

Control of plant diseases is largely dependent on use of agrochemicals. However, there are widening gaps between our knowledge on plant diseases gained from genetic/mechanistic studies and rapid translation of the knowledge into target-oriented development of effective agrochemicals. Here we propose that the time is ripe for computer-aided drug discovery/design (CADD) in molecular plant patholo...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 32  شماره 8

صفحات  1169- 1176

تاریخ انتشار 2019-08-01

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023