Paper Info
Title
A protein folding model using the face-centered cubic lattice model.
Abstract
In this work the temporal folding process with a cellular automaton like-scheme was modeled. The cellular automaton is implemented with an artificial neural network and evolved with Differential Evolution. This neural-CA model is applied sequentially to the amino acids of the protein chain to obtain, iteratively and through time, a final folded conformation. The Face-Centered Cubic lattice model was used for the protein conformation representation, using a relative encoding of the amino acid moves on the lattice. First results of different folded conformations with different proteins are presented and discussed.
Year
DOI
Venue
2017
10.1145/3067695.3082543
GECCO (Companion)
Field
DocType
Citations 
Protein structure prediction,Cellular automaton,Combinatorics,Protein folding,Mathematical optimization,Biological system,Lattice (order),Cubic crystal system,Lattice model (finance),Energy landscape,Mathematics,Protein structure
Conference
0
PageRank 
References 
Authors
0.34
12
2
Name
Order
Citations
PageRank
Daniel Varela132.45
José Santos29714.77