Name
Title | ||
|---|---|---|
Hierarchy of regions of amino acid sequence with respect to their role in the protein spatial structure. |
Abstract | ||
|---|---|---|
The method of the representation of amino acid sequence by graph of the interactions energy between parts of spatial structure has been elaborated. Our method provides the possibility to establish the compatibility between each point of a polypeptide chain and the Van der Waals interactions energy of regions of a native globule adjacent to this amino acid residue. We have undertaken an exhaustive analysis of a set of proteins. Boundaries of domain and module structures have been found. Nonequivalence of different parts of sequences in respect to their contribution to stabilization of the spatial structure of the protein macromolecules has been revealed. On the basis of the number of energetic levels which are necessary to identify all independent parts of the globule, the contribution from each part of the sequence to stabilization of the spatial structure of the globule is defined. Thus, it has been found that the sequence of amino acid residues coincides with the sequence of the numerical values which can be used in turn in formal procedures, such as an alignment, a search of consensus, the recognition of composition peculiarities, etc. An example of the comparison of proteins with various sequence identities is considered to demonstrate the scheme of an alignment procedure. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1089/10665270050081450 | JOURNAL OF COMPUTATIONAL BIOLOGY |
Keywords | Field | DocType |
protein spatial structure,protein folding,interaction energy,hierarchy of domain structure,sequence alignment | Protein folding,Biological system,Macromolecule,Biochemistry,Artificial intelligence,Homology modeling,Peptide sequence,Sequence alignment,Amino acid,van der Waals force,Interaction energy,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
7.0 | 1-2 | 1066-5277 |
Citations | PageRank | References |
1 | 0.52 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Igor N Berezovsky | 1 | 88 | 11.44 |
| Natalia G. Esipova | 2 | 1 | 1.20 |
| Vladimir G Tumanyan | 3 | 4 | 1.36 |