Structural coordinates: A novel approach to predict protein backbone conformation.

Motivation: Local protein structure is usually described via classifying each peptide to a unique class from a set of pre-defined structures. These classifications may differ in the number of structural classes, the length of peptides, or class attribution criteria. Most methods that predict the local structure of a protein from its sequence first rely on some classification and only then proceed to the 3D conformation assessment.

The ranging of amino acids substitution matrices of various types in accordance with the alignment accuracy criterion.

Background: The alignment of character sequences is important in bioinformatics. The quality of this procedure is determined by the substitution matrix and parameters of the insertion-deletion penalty function. These matrices are derived from sequence alignment and thus reflect the evolutionary process.

Numeric analysis of reversibility of classic movement equations and constructive criteria of estimating quality of molecular dynamic simulations.

The fundamental criteria of the quality of molecular dynamics (MD) simulation represent a pivotal challenge, especially in the case of MD simulations of large systems (in particular, proteins).This work presents a simple theoretical analysis of time reversibility in classical mechanics that has allowed us to formulate a number of constructive criteria for evaluating the quality of the trajectories, generated in MD simulations. The results of testing the criteria on the structures of eight small proteins are presented.

Omnipresence of the polyproline II helix in fibrous and globular proteins.

Left-handed helical conformation of a polypeptide chain (PPII) is the third type of the protein backbone structure. This conformation universally exists in fibrous, globular proteins, and biologically active peptides. It has unique physical and chemical properties determining a wide range of biological functions, from the protein folding to the tissue differentiation.

Comprehensive statistical analysis of residues interaction specificity at protein-protein interfaces.

We calculated interchain contacts on the atomic level for nonredundant set of 4602 protein-protein interfaces using an unbiased Voronoi-Delaune tessellation method, and made 20x20 residue contact matrixes both for homodimers and heterocomplexes. The area of contacts and the distance distribution for these contacts were calculated on both the residue and the atomic levels. We analyzed residue area distribution and showed the existence of two types of interresidue contacts: stochastic and specific.

Study and prediction of secondary structure for membrane proteins.

In this paper we present a novel approach to membrane protein secondary structure prediction based on the statistical stepwise discriminant analysis method. A new aspect of our approach is the possibility to derive physical-chemical properties that may affect the formation of membrane protein secondary structure. The certain physical-chemical properties of protein chains can be used to clarify the formation of the secondary structure types under consideration.

A tetrapeptide-based method for polyproline II-type secondary structure prediction.

We describe a new method for polyproline II-type (PPII) secondary structure prediction based on tetrapeptide conformation properties using data obtained from all globular proteins in the Protein Data Bank (PDB). This is the first method for PPII prediction with a relatively high level of accuracy (approximately 60%). Our method uses only frequencies of different conformations among oligopeptides without any additional parameters.

Analysis of forces that determine helix formation in alpha-proteins.

A model for prediction of alpha-helical regions in amino acid sequences has been tested on the mainly-alpha protein structure class. The modeling represents the construction of a continuous hypothetical alpha-helical conformation for the whole protein chain, and was performed using molecular mechanics tools. The positive prediction of alpha-helical and non-alpha-helical pentapeptide fragments of the proteins is 79%.

Use of molecular mechanics for secondary structure prediction. Is it possible to reveal alpha-helix?

A new approach to predicting protein standard conformations is suggested. The idea consists in modeling by molecular mechanics tools a continuous alpha-helical conformation for the whole protein. The profile of energy along the model alpha-helix reveals minima corresponding to real alpha-helical segments in the native protein.