'Neural and Fuzzy Clustering Approaches for Biological Activity Classification' by Dr. Jehan Zeb (June 04, 2014)
Dr. Jehan Zeb did his PhD in computer science from the University of Technology Malaysia in 2008, MS (Computer System Engineering) from GIKI in 2003, one year PGTP (Computer Hardware and Software) from CTC, MSc (Electronics), BEd (Education) and MEd(Education) from the University of Peshawar. He has informal teaching experience of programming languages, networking, embedded systems, image processing, fuzzy logic and systems, neural networks and etc.
His current research interests includes but are not limited to applications of artificial intelligence in chemoinformatics, signal and image processing, computer networks and network security, modeling of biological systems and their interactions.
Summary of the Talk:
Drug designing and discovery is a complex, time consuming and very costly process which take input from diverse disciplines such as biology, chemistry, bioinformatics and chemoinformatics. It is a new area of computer science, where theories from computer and information sciences are applied to solve problems related to chemical compounds, their reactions, and their interactions with biological structures like proteins and enzymes. The computational clustering methods, are used for the analysis and mining of large molecular databases for biological activity prediction and classification.
This talk will highlight the importance of chemoinformatics, methodologies and discuss the applications of neural networks and fuzzy based clustering approaches for diversity analysis and virtual screening of molecular libraries.
Last Updated: 12 February 2017