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Our goals are the design and implementation of algorithms solving problems in
computational molecular biology. Main topic is
the development of tools for protein
design. In many
cases, we utilise knowledge-based potentials deduced from large data sets
like multiple sequence alignments (MSAs). In addition, we are interested in
analysing the content of microbial genomes and protein evolution.
We offer
the following online tools:
Web Service
H2r (predicting evolutionary relevant
residues from MSAs)
Additional
Tools, developed in cooperation with other groups
SIGI-HMM (predicting genomic
islands)
GCB-Scores (predicting highly expressed genes)
YACOP (gene prediction)
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We study correlated mutations to
predict co-evolving protein positions both inside proteins and in interfaces.
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Relevant publications
(
to PubMed)
v.
Mandach and Merkl
2010
Richter
et al.,
2010
Fischer
et al.,
2009
Merkl
and Zwick, 2008
Merkl,
2007
Waack
et al., 2006
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