Introducing Pep McConst-A user-friendly peptide modeler for biophysical applications
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Updated: Nov 22, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Fabian Schuhmann1, Vasili Korol2, Ilia A Solov'yov1
1Department of Physics, Carl von Ossietzky Universät Oldenburg, Oldenburg, Germany.
Abstract:
We are introducing Pep McConst-a software that employs a Monte-Carlo algorithm to construct 3D structures of polypeptide chains which could subsequently be studied as stand-alone macromolecules or complement the structure of known proteins. Using an approach to avoid steric clashes, Pep McConst allows to create multiple structures for a predefined primary sequence of amino acids. These structures could then effectively be used for further structural analysis and investigations. The article introduces the algorithm and describes its user-friendly approach that was made possible through the VIKING online platform. Finally, the manuscript provides several highlight examples where Pep McConst was used to predict the structure of the C-terminal of a known protein, generate a missing bit of already crystallized protein structures and simply generate short polypeptide chains.
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