Campus Event Calendar
Event Entry
What and Who
Improving comparative modeling: benchmarks, algorithms, and scoring functions
Roland Dunbrack
Institute for Cancer Research, Philadelphia
Talk
AG 1, AG 2, AG 3, AG 4
MPI Audience
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Date, Time and Location
Friday, 26 September 2003
11:30
-- Not specified --
Warning: Time has changed!
46.1 - MPII
023
Saarbrücken
Abstract
With experimental structures of new folds increasingly
available,
accurate comparative modeling remains an important and challenging goal.
We have investigated a number of approaches for improving protein
structure
prediction. These include large-scale benchmarks for sequence alignment
accuracy
and side-chain and loop modeling. We have developed new algorithms from
robotics for the
search problem in loop modeling and from graph theory for the search
problem
in side-chain prediction. The latter has been implemented in the new
version
of the SCWRL program. We are currently developing new scoring functions
for side-chain prediction and we have tested all published scoring
functions for
profile-profile sequence alignment. Results from each of these
approaches will
be presented
available,
accurate comparative modeling remains an important and challenging goal.
We have investigated a number of approaches for improving protein
structure
prediction. These include large-scale benchmarks for sequence alignment
accuracy
and side-chain and loop modeling. We have developed new algorithms from
robotics for the
search problem in loop modeling and from graph theory for the search
problem
in side-chain prediction. The latter has been implemented in the new
version
of the SCWRL program. We are currently developing new scoring functions
for side-chain prediction and we have tested all published scoring
functions for
profile-profile sequence alignment. Results from each of these
approaches will
be presented
Contact
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