Literature DB >> 33426653

Introducing Pep McConst-A user-friendly peptide modeler for biophysical applications.

Fabian Schuhmann1, Vasili Korol2, Ilia A Solov'yov1.   

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.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  Monte-Carlo approach; peptide construction; protein C-terminal construction; solvent accessible surface area

Year:  2021        PMID: 33426653     DOI: 10.1002/jcc.26479

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  1 in total

1.  The Transition of Photoreceptor Guanylate Cyclase Type 1 to the Active State.

Authors:  Manisha Kumari Shahu; Fabian Schuhmann; Alexander Scholten; Ilia A Solov'yov; Karl-Wilhelm Koch
Journal:  Int J Mol Sci       Date:  2022-04-05       Impact factor: 5.923

  1 in total

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