Assessing effect of climate on the incidence of dengue in Tamil Nadu

Incidence of dengue is reported to be influenced by climatic factors. The objective of this study is to assess the association of local climate with dengue incidence, in two geographically distinct districts in Tamil Nadu. The study uses climate data, rainfall and mean maximum and minimum temperature to assess its association if any, with dengue incidence in two districts of Tamil Nadu, South India. According to this study while precipitation levels have an effect on dengue incidence in Tamil Nadu, non-climatic factors such as presence of breeding sites, vector control and surveillance are important issues that need to be addressed.

In silico analysis of drug-resistant mutant of neuraminidase (N294S) against oseltamivir

The recent H1N1 influenza pandemic has attracted worldwide attention due to the high infection rate. Oseltamivir is a new class of anti-viral agent approved for the treatment and prevention of influenza infections. The principal target for this drug is a virus surface glycoprotein, neuraminidase (NA), which facilitates the release of nascent virus and thus spreads infection. Until recently, only a low prevalence of neuraminidase inhibitor (NAI) resistance (<1 %) had been detected in circulating viruses. However, there have been reports of significant numbers of A (H1N1) influenza strains with a N294S neuraminidase mutation that was highly resistant to the NAI, oseltamivir. Hence, in the present study, we highlight the effect of point mutation-induced oseltamivir resistance in H1N1 subtype neuraminidases by molecular simulation approach. The docking analysis reveals that mutation (N294S) significantly affects the binding affinity of oseltamivir with mutant type NA. This is mainly due to the decrease in the flexibility of binding site residues and the difference in prevalence of hydrogen bonds in the wild and mutant structures. This study throws light on the possible effects of drug-resistant mutations on the large functionally important collective motions in biological systems.

Computational analysis of deleterious missense mutations in aspartoacylase that cause Canavan's disease

In this work, the most detrimental missense mutations of aspartoacylase that cause Canavan's disease were identified computationally and the substrate binding efficiencies of those missense mutations were analyzed. Out of 30 missense mutations, I-Mutant 2.0, SIFT and PolyPhen programs identified 22 variants that were less stable, deleterious and damaging respectively. Subsequently, modeling of these 22 variants was performed to understand the change in their conformations with respect to the native aspartoacylase by computing their root mean squared deviation (RMSD). Furthermore, the native protein and the 22 mutants were docked with the substrate NAA (N-Acetyl-Aspartic acid) to explain the substrate binding efficiencies of those detrimental missense mutations. Among the 22 mutants, the docking studies identified that 15 mutants caused lower binding affinity for NAA than the native protein. Finally, normal mode analysis determined that the loss of binding affinity of these 15 mutants was caused by altered flexibility in the amino acids that bind to NAA compared with the native protein. Thus, the present study showed that the majority of the substrate-binding amino acids in those 15 mutants displayed loss of flexibility, which could be the theoretical explanation of decreased binding affinity between the mutant aspartoacylases and NAA.

A compact review on the comparison of conventional and non-conventional interactions on the structural stability of therapeutic proteins

Therapeutic proteins carry out the most difficult tasks in living cells. They do so by interacting specifically with other molecules. This requires that they fold to a unique and more stable conformation. A prerequisite for comprehending the folding processes in their immense complexity entails a thorough understanding of many weak interactions. The purpose of this review is to systematically study the role of weak interactions such as cation-π, C-H......π, N-H......π and O-H......π, in the set of 49 therapeutic proteins. The importance of many of these interactions (for example, cationic residues interacting with π system) is revealed by the higher degree of conservation observed for them in protein structures. These interactions are mainly formed by long-range contacts and significant percentage of cation-π, C-H......π, N-H......π and O-H......π interacting residues had one or more stabilization centers. Further, a comparison of conventional and nonconventional interactions in the present data set unambiguously highlights the significance of these weak interactions in the structural stability of therapeutic proteins. We propose that the incorporation of the entirety of these interactions leads to a more complete description of the problem, and that this could provide new perspectives and new possible answers.

Na Impurity Chemistry in Photovoltaic Cigs thin-Films: An Investigation with Photo- and Auger Electron Spectroscopies

The incorporation of Na into Cu(Inl-xGax)Se2 thin-films is known to lead to an improvement in device performance. The authors use X-ray photoelectron and Auger electron spectroscopies to determine the chemical nature of Na in Cu(Inl-xGax)Se2 thin-films. The Na concentration is determined to be ∼ 0.1 atomic percent in the bulk of Cu(In1-xGax)Se2 thin-films. The Na is chemically bonded to Se. The authors propose a model invoking the replacement of column III elements by Na during the growth of Cu(Inl-xGax)Se2 thin-films. These Nain and NaGa defects act as acceptor states to increase the p-type conductivity of Cu(In1-xGax)Se2 thin-films.