Repertoire of Protein Kinases Encoded in the Genome of Takifugu rubripes

Takifugu rubripes is teleost fish widely used in comparative genomics to understand the human system better due to its similarities both in number of genes and structure of genes. In this work we survey the fugu genome, and, using sensitive computational approaches, we identify the repertoire of putative protein kinases and classify them into groups and subfamilies. The fugu genome encodes 519 protein kinase-like sequences and this number of putative protein kinases is comparable closely to that of human. However, in spite of its similarities to human kinases at the group level, there are differences at the subfamily level as noted in the case of KIS and DYRK subfamilies which contribute to differences which are specific to the adaptation of the organism. Also, certain unique domain combination of galectin domain and YkA domain suggests alternate mechanisms for immune response and binding to lipoproteins. Lastly, an overall similarity with the MAPK pathway of humans suggests its importance to understand signaling mechanisms in humans. Overall the fugu serves as a good model organism to understand roles of human kinases as far as kinases such as LRRK and IRAK and their associated pathways are concerned

Task Scheduling Using Constriction Weighted Particle Swarm Optimization for Multi-Objectives

AbstractTask scheduling is one of the core steps to effectively exploit the capabilities of parallel or distributed computing systems. Most existing approaches for scheduling deal with a single objective only. This paper presents multi-objective scheduling algorithm based on Particle Swarm Optimization (PSO). In this paper, Constriction Particle Swarm Optimization (CPSO) is used to schedule the tasks in a heterogeneous environment. Constriction PSO impact on the convergence speed and ability of the algorithm to find the optimum solution. The approach aims at developing optimal schedules thereby minimizing two objectives, makespan and flowtime simultaneously. The experimental results indicated that Constriction Particle Swarm Optimization obtains better solutions in comparison with basic Particle Swarm Optimization in finding optimal solutions

Analysis of prevalence and clinical features of multicystic ameloblastoma and its histological subtypes in South Indian sample population: A retrospective study over 13 years

Objective: The study was designed to analyze the frequency and clinical features of multicystic ameloblastoma and its histological variants in South Indian sample population, as there is minute information available in the English literature. Methodology: The study source was the biopsy specimens retrieved from the archives of the Department of Oral and Maxillofacial Pathology, College of Dental Sciences, Davangere, Karnataka, India, during the past 13 years, from 2001 to 2013. Clinical data for the study were obtained from the case records of patients and the analyzed clinical variables were age, gender and anatomical location. Histologically, hematoxylin and eosin stained sections fitting the World Health Organization (2005) criteria for diagnosis of multicystic ameloblastoma were selectively included. Results: Of the 3026 biopsy reports analyzed, 103 cases were odontogenic tumors (3.4%) and 58 cases were ameloblastoma. 31 cases of multicystic ameloblastoma, including follicular ameloblastoma (54.8%), acanthomatous ameloblastoma (29%), plexiform ameloblastoma (6.5%), granular cell ameloblastoma (6.5%) and desmoplastic ameloblastoma (3.2%) were recorded. The age of the patients during the presentation of the lesion was ranging from 21 to 73 years, with a mean of 39.5 years. The most frequent clinical manifestation was swelling, followed by a combination of pain and swelling. In our study, ameloblastoma showed distinct anatomic predilections for occurrence in mandible (96.8%) rather than maxilla (3.2%). This study result also indicated that there is geographical variation in the frequency and distribution of ameloblastoma

Planar Chromatographic Systems in Pattern Recognition and Fingerprint Analysis

An overview of opportunities of contemporary planar chromatography in pattern recognition and fingerprint analysis is presented. The most used chemometric methods are highlighted and their main advantages and drawbacks are underlined. In addition a cross section of the application of planar chromatographic fingerprinting in food, pharmaceutical, environmental, and forensic analysis is given