Personal tools
  •  
You are here: Home WORLDCOMP'09 Keynotes BIOCOMP'09 Keynote- Prof. Yi Pan
Current Event
WORLDCOMP'15
Click Here
Other Events
WORLDCOMP'14
Click Here

WORLDCOMP'13
Click Here

WORLDCOMP'12
Click Here

WORLDCOMP'11
Click Here

WORLDCOMP'10
Click Here

WORLDCOMP'08
Click Here

WORLDCOMP'06 & '07
Click Here


Join Our Mailing List
Sign up to receive email announcements and updates about conferences and future events




 

BIOCOMP'09 Keynote- Prof. Yi Pan

Last modified 2009-06-11 19:21

Protein Structure Prediction and Its Understanding Based on Machine Learning Methods
Professor Yi Pan
Chair and Professor, Department of Computer Science
Professor, Department of Computer Information Systems
Georgia State University, Atlanta, USA

Date: TBA
Time: TBA
Location: TBA


Abstract

    Understanding protein structures is vital to determining the function of a protein and its interaction with DNA, RNA and enzyme. The information about its conformation can provide essential information for drug design and protein engineering. While there are over a million known protein sequences, only a limited number of protein structures are experimentally determined. Hence, prediction of protein structures from protein sequences using computer programs is an important step to unveil proteins' three dimensional conformation and functions. As a result, prediction of protein structures has profound theoretical and practical influence over biological study. The explanation of how a decision is made during prediction is also important for improving protein structure prediction and guiding the "wet experiments". In this talk, we will show how to use machine learning methods to improve the accuracy of protein structure prediction and to interpret prediction results. We will report our research on using neural networks, Support Vector Machines combined with Decision Tree and Association Rule for protein structure prediction, rule extraction and prediction interpretation. Evaluation and comparisons of various prediction and rule extraction systems will be presented and future research direction in this area will also be identified.

Biography

    Yi Pan is the chair and a professor in the Department of Computer Science and a professor in the Department of Computer Information Systems at Georgia State University. Dr. Pan received his B.Eng. and M.Eng. degrees in computer engineering from Tsinghua University, China, in 1982 and 1984, respectively, and his Ph.D. degree in computer science from the University of Pittsburgh, USA, in 1991. Dr. Pan's research interests include parallel and distributed computing, networking, and bioinformatics. Dr. Pan has published more than 100 journal papers with over 40 papers published in various IEEE/ACM journals. In addition, he has published over 150 papers in refereed conferences and co-edited 34 books (including proceedings). He has received many awards from agencies such as NSF, AFOSR, JSPS, IISF and Mellon Foundation.

    Dr. Pan has served as an editor-in-chief or editorial board member for 15 journals including 5 IEEE Transactions. He has also served as a guest editor for many journals including IEEE/ACM Transactions on Computational Biology and Bioinformatics and IEEE Transactions on NanoBioscience. He has organized numerous international conferences and workshops. Dr. Pan has delivered over 10 keynote speeches at international conferences. Dr. Pan is an IEEE Distinguished Speaker (2000-2002), a Yamacraw Distinguished Speaker (2002), and a Shell Oil Colloquium Speaker (2002). He is listed in Men of Achievement, Who's Who in Midwest, Who's Who in America, Who's Who in American Education, Who's Who in Computational Science and Engineering, and Who's Who of Asian Americans.

Academic Co-Sponsors

United States Military Academy, Network Science Center


Biomedical Cybernetics Laboratory, HST of Harvard University and MIT, USA


Argonne's Leadership Computing Facility of Argonne National Laboratory

Functional Genomics Laboratory, University of Illinois at Urbana-Champaign, USA
Minnesota Supercomputing Institute, University of Minnesota, USA
Intelligent Data Exploration and Analysis Laboratory, University of Texas at Austin, Austin, Texas, USA
Harvard Statistics Department Genomics & Bioinformatics Laboratory, Harvard University, USA

Texas Advanced Computing Center, The University of Texas at Austin, Texas

Center for the Bioinformatics and Computational Genomics, Georgia Institute of Technology, Atlanta, Georgia, USA

Bioinformatics & Computational Biology Program, George Mason University, Virginia, USA


Institute of Discrete Mathematics and Geometry, Vienna University of Technology, Austria

BioMedical Informatics & Bio-Imaging Laboratory, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
Knowledge Management & Intelligent System Center (KMIS) of University of Siegen, Germany

National Institute for Health Research, UK


Hawkeye Radiology Informatics, Department of Radiology, College of Medicine, University of Iowa, Iowa, USA

Institute for Informatics Problems of the Russian Academy of Sciences, Moscow, Russia.
Medical Image HPC & Informatics Lab (MiHi Lab), University of Iowa, Iowa, USA
SECLAB An inter-university research group (University of Naples Federico II, the University of Naples Parthenope, and the Second University of Naples, Italy)
The University of North Dakota, Grand Forks, North Dakota, USA
Intelligent Cyberspace Engineeing Lab., ICEL, Texas A&M; University (Com./Texas)

International Society of Intelligent Biological Medicine


World Academy of Biomedical Sciences and Technologies



Corporate Sponsor



Other Co-Sponsors
European Commission
High Performance Computing for Nanotechnology (HPCNano)

HoIP - Health without Boundaries


Hodges' Health

The International Council on Medical and Care Compunetics

GridToday - enewsletter focused on Grid, SOA, Virtualization, Storage, Networking and Service-Oriented IT


HPCwire - The Leading Source for Global News and Information Covering the Ecosystem of High Productivity Computing

The UK Department for Business, Enterprise & Regulatory Reform
VMW Solutions Ltd.
Scientific Technologies Corporation

Bentham Science Publishers


 


Administered by UCMSS
Universal Conference Management Systems & Support
San Diego, California, USA
Contact: Kaveh Arbtan

If you can read this text, it means you are not experiencing the Plone design at its best. Plone makes heavy use of CSS, which means it is accessible to any internet browser, but the design needs a standards-compliant browser to look like we intended it. Just so you know ;)