'Neural and Fuzzy Clustering Approaches for Biological Activity Classification' by Dr. Jehan Zeb (June 04, 2014) |
Introduction:
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: 04 March 2021