LEPSCAN--a web server for searching latent periodicity in DNA sequences

A web server for searching latent periodicity based on the method of modified profile analysis has been developed. This method allows searching latent periodicity in presence of insertions and deletions. During searching process, the periodicity classes are used which were found by us earlier for various groups of organisms. Period length belongs to the range 2-20 nt, not including the triplet periodicity. The results obtained are subjected to various filtration steps to ensure their statistical significance. Availability: The use of web server is free for non-commercial users. No registration is required. URL of the server is http://victoria.biengi.ac.ru/lepscan. Current software version is 1.06.     

Classification analysis of a latent dinucleotide periodicity of plant genomes

The information decomposition (ID) method has been used for searching dinucleotide periodicities, including latent ones, in plant genomes. In nucleotide sequences of genomes of various plants from the Gen-Bank database, 14 766 sequences with a periodicity of two nucleotides have been found at a high level of statistical significance. Classification of the periodicity matrices of the detected DNA sequences has yielded 141 classes of dinucleotide periodicity. Since ID does not detect periodicities with nucleotide deletions or insertions, modified profile analysis (MPA) has been applied to the obtained classes to reveal DNA sequences with dinucleotide periodicities containing nucleotide deletions and insertions. Combined use of ID and MPA has permitted the detection of 80 396 DNA sequences with dinucleotide periodicities in the genomes of various plants. The biological role of dinucleotide periodicity in the detected sequences is discussed.     

A graph-theory algorithm for rapid protein side-chain prediction

Fast and accurate side-chain conformation prediction is important for homology modeling, ab initio protein structure prediction, and protein design applications. Many methods have been presented, although only a few computer programs are publicly available. The SCWRL program is one such method and is widely used because of its speed, accuracy, and ease of use. A new algorithm for SCWRL is presented that uses results from graph theory to solve the combinatorial problem encountered in the side-chain prediction problem. In this method, side chains are represented as vertices in an undirected graph. Any two residues that have rotamers with nonzero interaction energies are considered to have an edge in the graph. The resulting graph can be partitioned into connected subgraphs with no edges between them. These subgraphs can in turn be broken into biconnected components, which are graphs that cannot be disconnected by removal of a single vertex. The combinatorial problem is reduced to finding the minimum energy of these small biconnected components and combining the results to identify the global minimum energy conformation. This algorithm is able to complete predictions on a set of 180 proteins with 34342 side chains in <7 min of computer time. The total chi(1) and chi(1 + 2) dihedral angle accuracies are 82.6% and 73.7% using a simple energy function based on the backbone-dependent rotamer library and a linear repulsive steric energy. The new algorithm will allow for use of SCWRL in more demanding applications such as sequence design and ab initio structure prediction, as well addition of a more complex energy function and conformational flexibility, leading to increased accuracy.     

Increasing the Uniformity of Genome Fragment Coverage for High-Throughput Sequencing of Influenza A Virus

Molecular Biology - The high variability of the influenza A virus poses a significant threat to public health, therefore monitoring viral strains and studying their genetic properties are important...     

Classification analysis of a latent dinucleotide periodicity of plant genomes

The information decomposition (ID) method has been used for searching dinucleotide periodicities, including latent ones, in plant genomes. In nucleotide sequences of genomes of various plants from the GenBank database, 14766 sequences with a periodicity of two nucleotides have been found. Classification of the periodicity matrices of the detected DNA sequences has yielded 141 classes of dinucleotide periodicity. Since ID does not detect periodicities with nucleotide deletions or insertions, modified profile analysis (MPA) has been applied to the obtained classes to reveal DNA sequences with dinucleotide periodicities containing nucleotide deletions and insertions. Combined use of ID and MPA has permitted the detection of 80 396 DNA sequences with dinucleotide periodicities in the genomes of various plants. The biological role of dinucleotide periodicity in the detected sequences is discussed.     

Search and classification of potential minisatellite sequences from bacterial genomes.

We used the method of Information Decomposition developed by us to identify the latent dinucleotide periodicity regions in bacterial genomes. The number of potential minisatellite sequences obtained at high level of statistical significance was 454. Then we classified the periodicity matrices and obtained 45 classes. We used the other new method developed by us--Modified Profile Analysis--to reveal more periodic sequences in the presence of indels using the classes obtained. The number of sequences found by combination of these two methods was 3949. Most of them cannot be revealed by other methods including dynamic programming and Fourier transformation.     

Hevein-like antimicrobial peptides of plants

Plant antimicrobial peptides represent one of the evolutionarily oldest innate immunity components providing the first line of host defense to pathogen attacks. This review is dedicated to a small, currently actively studied family of hevein-like peptides that can be found in various monocot and dicot plants. The review thoroughly describes all known pep- tides belonging to this family including data on their structures, functions, and antimicrobial activity. The main features allowing to assign these peptides to a separate family are given, and the specific characteristics of each peptide are described. Further, the mode of action for hevein-like peptides, their role in plant immune system, and the applications of these mol- ecules in biotechnology and medicine are considered.