Author
Contributions by role
Author 1
Umme Laila
Institute of Business Management (IoBM), Karachi
Summary
r. Umm-e-Laila holds a PhD in Computer Science and Information Technology from NED University of Engineering and Technology and a MS/BS in Computer Engineering from Sir Syed University of Engineering & Technology. Her PhD is in pure Software Engineering, focusing on "open source software". Her research interests include open-source software, IoT, computer programming, software engineering, Artificial Intelligence, and Machine Learning. Currently She is working as an Associate Professor in Computer Science Department at IoBM. She has 20 years of teaching experience and has published over 20 publications in international and national journals and conferences.
Edited Journals
IECE Contributions

Open Access | Research Article | 18 February 2025
Prediction of Coronavirus Inhibitors in Drug Discovery through Deep Learning
IECE Transactions on Advanced Computing and Systems | Volume 1, Issue 1: 19-31, 2025 | DOI: 10.62762/TACS.2024.974479
Abstract
In the therapy of Coronavirus, the drug target is a demanding task to find novel medicine. A bunch of pharmaceutics procedures are employed to recognize these mutual actions. But they are exhausting and high-priced. Keeping this in view, computational procedures are widely approached to determine the mutual action of the medicine and their respective proteins. Many scientists have applied ML approaches to deduce attributes from simplified molecular-input line systems (for medicine) and protein sequences. Such approaches dropped the proteins' chemical, physical, and structural characteristics and the respective medicine. Our job is to undertake deep learning approaches to detect coronavirus e... More >

Graphical Abstract
Prediction of Coronavirus Inhibitors in Drug Discovery through Deep Learning