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Background: In the past 60 years, antibiotics have been critical in the fight against infectious diseases caused by bacteria and other microbes. Development of resistance to the antibiotics is emerging as a major public health issue which has resulted in the search for new antibiotics in order to maintain a pool of effective drugs at all times. Currently, there is a great interest in cationic peptides as antibiotics. These are reported to destroy the host cell membrane rather interacting with the other cell components, which may not face emergence of resistance. In mosquitoes, peptides like cecropin, defensin and gambicin reported to have inhibitory effect on bacteria, fungi and parasites. These peptides are well-characterized at both the biochemical and molecular level from Anopheles and Culex species, yet their 3D structures were not reported., Methods: Defensin, cecropin and gambicin immune peptides of Culex pipiens was characterised to have antiparasitic, antibacterial and antifungal activities. Since the crystal structure of defensin, cecropin and gambicin are not yet available their 3D structures were determined using homology modeling and Rosetta fragment insertion methods and were validated., Results: Stereo chemical evaluation indicated that defensin and gambicin showed that 100% residues of constructed model lie in the most favoured and allowed regions. Cecropin iso-forms A and B showed 100% while C showed 97.6% residues that lie in most favoured and allowed regions, which indicated quality models., Conclusion: Predicted model provide insight into their structure and aid in the development of novel antibiotic peptides.

Understanding the protein structures is crucial, as it is involved in every cellular activity. Several experimental techniques, such as X-Ray crystallography, nuclear magnetic resonance and electron microscopy are available to gain insight about the structure and function of a protein molecule. Gigantic data on protein structural and sequential information is deposited in various repositories regularly which provide us the scope for more theoretical studies. Hydrophobicity always plays a vital role in tertiary structure formation and behavior of a protein molecule. This study focuses on elucidating influence of several physicochemical properties on hydrophobicity of AGC kinase proteins. AGC kinase superfamily is selected due to its tremendous structural and functional variability and sequence data availability. A combined data mining and stochastic approach confirmed that out of 47 parameters, transmembrane tendency influences the target variable most, followed by percent buried residues, GRAVY (Grand Average Hydropathicity) and aliphatic index. Calculating the influence of different physicochemical parameters and their interrelation will aid tremendously in the future of protein science.

Xylanase is an industrially important enzyme having wide range of applications especially in paper industry. It is crucial to gain an understanding about the structure and functional aspects of various xylanases produced from diverse sources. In this study, a bioinformatics and molecular modeling approach was adopted to explore properties and structure of xylanases. Physico-chemical properties were predicted and prediction of motifs, disulfide bridges and secondary structure was performed for functional characterization. Apart from these analyses, three dimensional structures were constructed and stereo-chemical quality was evaluated by different structure validation tools. Comparative catalytic site analysis and assessment was performed to extract information about the important residues. Asn72 was found to be the common residue in the active sites of the proteins P35809 and Q12603.

In the present study, sequence and structural analysis of ITS2 region (the spacer segment between 5.8S and 28S rRNA of mature rRNA sequences) of 7 Culex species belonging to 5 different geographical locations was carried out. Alignment of the ITS2 sequence from the 7 species revealed 8 homologous domains. Four species namely C. vishnui, C. annulus, C. pipiens, C. quiquefasciatusshowed high sequence (98-100%) and RNA secondary structure similarity. The ITS2 similarity among different species is high despite their varying geographical locations. Several common features of secondary structure are shared among these species, with some of them supported by compensatory changes, suggesting the significant role by ITS2 as an RNA domain during ribosome biogenesis.

Unlabelled: Rapid identification of mosquito (vector) species is critical for vector control and disease management. Pictorial keys of mosquito species are currently used for the identification of new mosquito species. However, this approach is not very effective. Here, we describe the use of an ID3 algorithm (part of artificial intelligence) for the rapid identification of the South East Asian female Culex mosquito species., Availability: http://www.envisiict.org/

Unlabelled: The present study describes a RDBMS (relational database management system) for the effective management of Filariasis, a vector borne disease. Filariasis infects 120 million people from 83 countries. The possible re-emergence of the disease and the complexity of existing control programs warrant the development of new strategies. A database containing comprehensive data associated with filariasis finds utility in disease control. We have developed a database containing information on the socio-economic status of patients, mosquito collection procedures, mosquito dissection data, filariasis survey report and mass blood data. The database can be searched using a user friendly web interface., Availability: http://www.webfil.org (login and password can be obtained from the authors).

The present paper demonstrates the application of CART (classification and regression trees) to control a mosquito vector (Culex quinquefasciatus) for bancroftian filariasis in India. The database on filariasis and a commercially available software CART (Salford systems Inc. USA) were used in this study. Baseline entomological data related to bancroftian filariasis was utilized for deriving prediction rules. The data was categorized into three different aspects, namely (1) mosquito abundance, (2) meteorological and (3) socio-economic details. This data was taken from a database developed for a project entitled "Database management system for the control of bancroftian filariasis" sponsored by Ministry of Communication and Information Technology (MC&IT), Government of India, New Delhi. Predictor variables (maximum temperature, minimum temperature, rain fall, relative humidity, wind speed, house type) were ranked by CART according to their influence on the target variable (month). The approach is useful for forecasting vector (mosquito) densities in forthcoming seasons.