Neutral Networks in Protein Space
Aderonke Babajide,
Ivo L. Hofacker,
Manfred J. Sippl and
Peter F. Stadler
Working Papers from Santa Fe Institute
Abstract:
Background: Protein space is explored by means of an inverse folding procedure that makes use of knowledge-based potentials of mean force.
Results: Computer simulations indicate that amino acid sequences folding into a common shape are distributed homogeneously forming extended percolating networks that span the entire sequence space.
Conclusions: The existence of very long neutral paths on all examined protein structures, indicates the existence of neutral networks percolating protein space. The same qualitative results were obtained for some, but not all, restricted amino acid alphabets. In this respect, the sequence-structure map of proteins seems to be very similar to the nucleic acid case.
Keywords: inverse folding; knowledge based potentials; neutral mutations; restricted alphabets; sequence-structure map (search for similar items in EconPapers)
Date: 1996-12
References: View references in EconPapers View complete reference list from CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wop:safiwp:96-12-085
Access Statistics for this paper
More papers in Working Papers from Santa Fe Institute Contact information at EDIRC.
Bibliographic data for series maintained by Thomas Krichel ().