Computational Protein Design and Evolution
Team of Prof. Dr. Rainer Merkl
Our goal is the design and implementation of algorithms solving problems in computational biology. Main topics are related to protein evolution and the development of tools for protein design. In many cases, we utilise knowledge-based potentials deduced from large data sets. Have a look at our different web services, software packages, and datasets.
Webservices
H2r
Predicts residues that are important for protein function based on correlated mutations.
CLIPS-1D
Predicts functionally and structurally important residue-positions from 1D data.
CLIPS-4D
Tool to predict functionally and structurally important residue-positions from 1D and 3D data.
PresCont
Tool for the prediction of protein-protein interfaces.
GCB4genome
Tool to predict translational efficiency for whole genomes.
GCB4gene
Tool to predict translational efficiency for single genes.
cSeqLogo
Generation of consensus referenced two-sample Sequence Logos.
shortID
Generates taxonomic abbreviations from sequence accession numbers.
Software
ShortID
Command line tool for replacing sequence database keys with a meaningful phylogenetic annotation.
H2rs
Predicting residues important for protein function or structure based on the von Neumann entropy.
Datasets
BGC_KEGG
A set of html pages containing the genomic neighborhood of BLAST hits of Biosynthetic Gene Cluster.