Summer Research Opportunity In
Computational Biology
B B S I
@ P I T T 2 0 0 9
“Simulation and
Computer Visualization of Biological Systems at Multiple Scales”
An NIH-NSF Bioengineering & Bioinformatics Summer Institute (BBSI)
For Undergraduate and Graduate Students
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Overview
The BBSI @ Pitt
provides a unique training experience to students wishing to explore
the field of computational biology by providing an opportunity for
talented students to learn quantitative computer modeling methods at
multiple scales in the Life Sciences (molecular to cellular).
Students will attend classes taught by core faculty, and will have a
unique opportunity to work with leading scientists and subsequently
apply their knowledge towards a mentored state-of-the-art research
project of their choice.
The BBSI @ Pitt is a
joint program offered by the University of Pittsburgh, the
Pittsburgh Supercomputing Center, Duquesne University, and Carnegie
Mellon University. Program Dates
Coursework Topics
Math
and Biochemistry Review
Program Eligibility The program is open to all U.S. citizens and permanent residents. Applications from students in the life sciences, mathematics, engineering, and computer science are welcome. A total of 13 students will be admitted: 11 undergraduate students entering their junior or senior year, and 2 graduate students entering their first or second year of graduate school. Students from groups underrepresented in math, science, and technology are especially encouraged to apply. |
Illustration of familial binding profile construction. In this example, the binding motifs for four bZIP-CREB transcription factors are aligned in a multiple-motif alignment. The generalized familial binding profiles correspond to the weighted average of the individual profiles. Image courtesy: Dr. Takis Benos, Computational Biology, University of Pittsburgh. |
Core
Instructors
Ivet
Bahar, PhD,
Program Director, Department of Computational Biology,
University of Pittsburgh
Takis Benos, PhD, Department of
Computational Biology, University of Pittsburgh
Rob
Coalson, PhD,
Departments of Chemistry and Physics, University of
Pittsburgh
G. Bard
Ermentrout, PhD,
Department of Mathematics, University of Pittsburgh
Jeffry
Madura, PhD,
Department of Chemistry and Biochemistry, Duquesne
University
Hagai
Meirovitch, PhD, Department of Computational Biology, University of
Pittsburgh
Joel
Stiles, MD/PhD,
Mellon College of Science & Pittsburgh Supercomputing
Center, Carnegie Mellon University
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Graphical representation of the dopamine active transporter (DAT)/substrate system: Cross section through the POPE membrane showing DAT protein, dopamine substrate and surrounding water and ions following 30ns of MD simulation using NAMD 2.6. The 12 DAT transmembrane helices are illustrated as wide colored cylinders. Image courtesy: Dr. Jeffry Madura, Chairman, Chemistry and Biochemistry, Duquesne University.
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