Ashesh Nandy

On the uniqueness of quantitative DNA difference descriptors in 2D graphical representation models

The rapid growth in additions to databases of DNA primary sequence data have led to searches for methods to numerically characterize these data and help in fast identification and retrieval of relevant sequences. The DNA descriptors derived from the 2D graphical representation technique have already been proposed to index chemical toxicity and single nucleotide polymorphic (SNP) genes but the inherent degeneracies in this representation have given rise to doubts about their suitability. We prove in this paper that such degeneracies will exist only in very restricted cases and that the method can be relied upon to provide unique descriptors for, in particular, the SNP genes and several other classes of DNA sequences.

Numerical characterization of DNA sequences in a 2-D graphical representation scheme of low degeneracy

Abstract Some 2-D and 3-D graphical representations of DNA sequences have been given by Gate, Nandy, Leong, Randic, and Guo et al. Based on 2-D graphical representation of DNA sequences, Raychaudhury and Nandy introduced the first-order moments of the x and y coordinates and the radius of the plot of a DNA sequence for indexing scheme and similarity measures of DNA sequences. In this Letter, based on Guo’s novel 2-D graphical representation of DNA sequences of low degeneracy, we introduce the improved first-order moments of the x and y coordinates and the radius of DNA sequences, and the distance of two DNA sequences. The new descriptors of DNA sequences give a good numerical characterization of DNA sequences, which have lower degeneracy.

Simple Numerical Descriptor for Quantifying Effect of Toxic Substances on DNA Sequences

Many chemicals are known to be toxic to living organisms, inducing mutations and deletions at the chromosomal and genetic level. One of the tasks in risk assessment of genotoxic chemicals is to devise a simple numerical descriptor which may be used to quantify the relationship between chemical dose and the effect on the genetic sequences. We have developed numerical descriptors to characterize different DNA sequences which are especially useful in sequence comparisons. These descriptors have been developed from a graphical representational technique that enables easy visualization of changes in base distributions arising from evolutionary or other effects. In this paper we propose a scheme to use these descriptors as a label to help quantify the potential risk hazard of chemicals inducing mutations and deletions in DNA sequences.

Graphical representation and mathematical characterization of protein sequences and applications to viral proteins

Abstract Graphical representation and numerical characterization (GRANCH) of nucleotide and protein sequences is a new field that is showing a lot of promise in analysis of such sequences. While formulation and applications of GRANCH techniques for DNA/RNA sequences started just over a decade ago, analyses of protein sequences by these techniques are of more recent origin. The emphasis is still on developing the underlying technique, but significant results have been achieved in using these methods for protein phylogeny, mass spectral data of proteins and protein serum profiles in parasites, toxicoproteomics, determination of different indices for use in QSAR studies, among others. We briefly mention these in this chapter, with some details on protein phylogeny and viral diseases. In particular, we cover a systematic method developed in GRANCH to determine conserved surface exposed peptide segments in selected viral proteins that can be used for drug and vaccine targeting. The new GRANCH techniques and applications for DNAs and proteins are covered briefly to provide an overview to this nascent field.

Numerical Characterization of Protein Sequences and Application to Voltage-Gated Sodium Channel α Subunit Phylogeny

We propose a new method to compare sequences of protein families by generating numerical characterizations through a 20D representation. Using a walk along the axes representing the amino acids we generate a vector for each sequence whose components can be used to derive distance matrices between sequences and whose magnitudes can be used to compare the similarities/dissimilarities between the different sequences. The distance matrices enable creation of phylogenetic trees without need for multiple alignments or any other model dependencies. In this paper we test this technique with human globin gene sequences and then apply the method to a contemporary issue of evolutionary relationships of rat and human voltage-gated sodium channel alpha subunits and compare with published literature. The close match of the results demonstrates the reliability and ease of use of this method.

Graphical representation and numerical characterization of H5N1 avian flu neuraminidase gene sequence.

The high degree of virulence and potential for development of a pandemic strain of the H5N1 avian flu has resulted in wide interest in characterization of the various genes of the H5N1 virus genome. We have considered for our analysis all 173 available complete sequences, as of February 2006, of the neuraminidase gene, which is the target of the most effective treatment regimen comprising the inhibitors oseltamivir and zanamivir. We have used a 2D graphical representation of the neuraminidase RNA sequences of H5N1 strains to identify a few distinct structural motifs. The H5N1 strains were split into two main classes: strains that were benign to human beings in the years up to 1996 and the period 1999-2002 and strains that were highly pathogenic to humans in the periods 1997 and 2003 to present. Comparisons with earlier H1N1 pandemic and epidemic strains have also been made to understand the current status of the gene. Our findings indicate that the base composition and distribution patterns are significantly different in the two periods, and this may be of interest in studying mutational changes in such viral genes.

Computational study of dispersion and extent of mutated and duplicated sequences of the H5N1 influenza neuraminidase over the period 1997-2008.

Study of mutational changes in neuraminidase (NA) gene sequences is important to track the effectiveness of the inhibitors to the H5N1 avian flu virus that targets this component of the viral apparatus. Our analysis based on numerical characterization studies of 682 complete neuraminidase gene and protein sequences available in the database, updated to March 2009, and which extends our previous work based on a sample of 173 sequences has revealed several interesting features. We have noticed that identical sequences have appeared over significant distances in space and time, raising the need for a deeper understanding of the longevity of such viral strains in the environment. Structural sections like transmembrane, stalk, body, and C-terminal tail regions have shown independent recombinations between strains from various species including human and avian hosts highlighting influenzas flexibility in host selection and recombination. Our analysis confirmed a biased nature in mutational accumulation in structural segments: a highly conserved 50-base C-terminal tail section identified in our earlier paper seems to accumulate mutational changes at a rate of about a fifth to an eighth of transmembrane and stalk regions, although the length is about half of these. Parallel study of the equivalent section to the C-terminal region in protein sequences reveals only 13 separate varieties, and all the other 669 sequences are duplicates to three of these varieties showing the highly conserved nature of this segment. Our analysis of active site related bases and amino acids showed highly conserved characteristic of those constructs, whereas the rest of the segments demonstrated rather large mutational changes. These kinds of high level of mutation in major part of the H5N1 NA sequences and recombinations within structural segments coupled with strong conservation of a few select segments show that the potential of rapid mutations to more virulent forms of this variety of avian flu continue to remain of concern, especially with the possibility of long duration dormancy of some of these viral strains, whereas islands of highly conserved segments could signify potential regions for inhibitor designs.

In Silico Study of Rotavirus VP7 Surface Accessible Conserved Regions for Antiviral Drug/Vaccine Design

Background Rotaviral diarrhoea kills about half a million children annually in developing countries and accounts for one third of diarrhea related hospitalizations. Drugs and vaccines against the rotavirus are handicapped, as in all viral diseases, by the rapid mutational changes that take place in the DNA and protein sequences rendering most of these ineffective. As of now only two vaccines are licensed and approved by the WHO (World Health Organization), but display reduced efficiencies in the underdeveloped countries where the disease is more prevalent. We approached this issue by trying to identify regions of surface exposed conserved segments on the surface glycoproteins of the virion, which may then be targeted by specific peptide vaccines. We had developed a bioinformatics protocol for these kinds of problems with reference to the influenza neuraminidase protein, which we have refined and expanded to analyze the rotavirus issue. Results Our analysis of 433 VP7 (Viral Protein 7 from rotavirus) surface protein sequences across 17 subtypes encompassing mammalian hosts using a 20D Graphical Representation and Numerical Characterization method, identified four possible highly conserved peptide segments. Solvent accessibility prediction servers were used to identify that these are predominantly surface situated. These regions analyzed through selected epitope prediction servers for their epitopic properties towards possible T-cell and B-cell activation showed good results as epitopic candidates (only dry lab confirmation). Conclusions The main reasons for the development of alternative vaccine strategies for the rotavirus are the failure of current vaccines and high production costs that inhibit their application in developing countries. We expect that it would be possible to use the protein surface exposed regions identified in our study as targets for peptide vaccines and drug designs for stable immunity against divergent strains of the rotavirus. Though this study is fully dependent on computational prediction algorithms, it provides a platform for wet lab experiments.

Empirical Relationship between Intra-Purine and Intra-Pyrimidine Differences in Conserved Gene Sequences

DNA sequences seen in the normal character-based representation appear to have a formidable mixing of the four nucleotides without any apparent order. Nucleotide frequencies and distributions in the sequences have been studied extensively, since the simple rule given by Chargaff almost a century ago that equates the total number of purines to the pyrimidines in a duplex DNA sequence. While it is difficult to trace any relationship between the bases from studies in the character representation of a DNA sequence, graphical representations may provide a clue. These novel representations of DNA sequences have been useful in providing an overview of base distribution and composition of the sequences and providing insights into many hidden structures. We report here our observation based on a graphical representation that the intra-purine and intra-pyrimidine differences in sequences of conserved genes generally follow a quadratic distribution relationship and show that this may have arisen from mutations in the sequences over evolutionary time scales. From this hitherto undescribed relationship for the gene sequences considered in this report we hypothesize that such relationships may be characteristic of these sequences and therefore could become a barrier to large scale sequence alterations that override such characteristics, perhaps through some monitoring process inbuilt in the DNA sequences. Such relationship also raises the possibility of intron sequences playing an important role in maintaining the characteristics and could be indicative of possible intron-late phenomena.

A Brief Review of Computer-Assisted Approaches to Rational Design of Peptide Vaccines

The growing incidences of new viral diseases and increasingly frequent viral epidemics have strained therapeutic and preventive measures; the high mutability of viral genes puts additional strains on developmental efforts. Given the high cost and time requirements for new drugs development, vaccines remain as a viable alternative, but there too traditional techniques of live-attenuated or inactivated vaccines have the danger of allergenic reactions and others. Peptide vaccines have, over the last several years, begun to be looked on as more appropriate alternatives, which are economically affordable, require less time for development and hold the promise of multi-valent dosages. The developments in bioinformatics, proteomics, immunogenomics, structural biology and other sciences have spurred the growth of vaccinomics where computer assisted approaches serve to identify suitable peptide targets for eventual development of vaccines. In this mini-review we give a brief overview of some of the recent trends in computer assisted vaccine development with emphasis on the primary selection procedures of probable peptide candidates for vaccine development.