Title :
Reconstruction of 3D Structures From Protein Contact Maps
Author :
Vassura, Marco ; Margara, Luciano ; Lena, Pietro Di ; Medri, Filippo ; Fariselli, Piero ; Casadio, Rita
Author_Institution :
Dept. of Comput. Sci., Bologna Univ., Bologna
Abstract :
The prediction of the protein tertiary structure from solely its residue sequence (the so called Protein Folding Problem) is one of the most challenging problems in Structural Bioinformatics. We focus on the protein residue contact map. When this map is assigned it is possible to reconstruct the 3D structure of the protein backbone. The general problem of recovering a set of 3D coordinates consistent with some given contact map is known as a unit-disk-graph realization problem and it has been recently proven to be NP-Hard. In this paper we describe a heuristic method (COMAR) that is able to reconstruct with an unprecedented rate (3-15 seconds) a 3D model that exactly matches the target contact map of a protein. Working with a non-redundant set of 1760 proteins, we find that the scoring efficiency of finding a 3D model very close to the protein native structure depends on the threshold value adopted to compute the protein residue contact map. Contact maps whose threshold values range from 10 to 18 Aringngstroms allow reconstructing 3D models that are very similar to the proteins native structure.
Keywords :
biochemistry; biology computing; computational complexity; graph theory; molecular biophysics; optimisation; proteins; COMAR; NP-hard problems; heuristic method; protein backbone 3D structure reconstruction; protein residue contact map computing; protein tertiary structure prediction; proteins native structure; structural bioinformatics; target contact map; time 3 s to 15 s; unit-disk-graph realization problem; Combinatorial algorithms; Contact map; Molecular Modeling; Protein structure prediction; Binding Sites; Computer Simulation; Models, Chemical; Models, Molecular; Protein Binding; Protein Conformation; Protein Folding; Protein Interaction Mapping; Proteins;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2008.27