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.
Tool to predict residues that are important for protein function based on correlated mutations.
Tool to predict 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.
Find amino acid sequences in PyMol like in your favourite browser; by pressing CTRL-F
Predicting residues important for protein function or structure based on the von Neumann entropy.