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.
Predicts residues that are important for protein function based on correlated mutations.
Predicts functionally and structurally important residue-positions from 1D data.
Tool to predict functionally and structurally important residue-positions from 1D and 3D data.
Tool for the prediction of protein-protein interfaces.
Tool to predict translational efficiency for whole genomes.
Tool to predict translational efficiency for single genes.
Generation of consensus referenced two-sample Sequence Logos.
Generates taxonomic abbreviations from sequence accession numbers.
Command line tool for replacing sequence database keys with a meaningful phylogenetic annotation.