Protein interaction network for Alzheimer's disease using computational approach

Alzheimer''s disease (AD) is the most common form of dementia. It is the sixth leading cause of death in old age people. Despiterecent advances in the field of drug design, the medical treatment for the disease is purely symptomatic and hardly effective. Thusthere is a need to understand the molecular mechanism behind the disease in order to improve the drug aspects of the disease. Weprovided two contributions in the field of proteomics in drug design. First, we have constructed a protein-protein interactionnetwork for Alzheimer''s disease reviewed proteins with 1412 interactions predicted among 969 proteins. Second, the diseaseproteins were given confidence scores to prioritize and then analyzed for their homology nature with respect to paralogs andhomologs. The homology persisted with the mouse giving a basis for drug design phase. The method will create a new drug designtechnique in the field of bioinformatics by linking drug design process with protein-protein interactions via signal pathways. Thismethod can be improvised for other diseases in future.     

Comparative genomics of 274 Vibrio cholerae genomes reveals mobile functions structuring three niche dimensions

Background

Vibrio cholerae is a globally dispersed pathogen that has evolved with humans for centuries, but also includes non-pathogenic environmental strains. Here, we identify the genomic variability underlying this remarkable persistence across the three major niche dimensions space, time, and habitat.

Results

Taking an innovative approach of genome-wide association applicable to microbial genomes (GWAS-M), we classify 274 complete V. cholerae genomes by niche, including 39 newly sequenced for this study with the Ion Torrent DNA-sequencing platform. Niche metadata were collected for each strain and analyzed together with comprehensive annotations of genetic and genomic attributes, including point mutations (single-nucleotide polymorphisms, SNPs), protein families, functions and prophages.

Conclusions

Our analysis revealed that genomic variations, in particular mobile functions including phages, prophages, transposable elements, and plasmids underlie the metadata structuring in each of the three niche dimensions. This underscores the role of phages and mobile elements as the most rapidly evolving elements in bacterial genomes, creating local endemicity (space), leading to temporal divergence (time), and allowing the invasion of new habitats. Together, we take a data-driven approach for comparative functional genomics that exploits high-volume genome sequencing and annotation, in conjunction with novel statistical and machine learning analyses to identify connections between genotype and phenotype on a genome-wide scale.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-654) contains supplementary material, which is available to authorized users.     

Comparison of GC and HPLC for the quantification of organic acids in coffee

A GC and an HPLC method for the quantification of organic acids OAs in coffee have been compared. The GC procedure, employing trimethylsilyl derivatives, was found to be very tedious. The HPLC method, which employed an ion exchange column using a flow gradient of water containing 1% phosphoric acid and UV detection (210 nm), was found to be much simpler for the quantification of eight organic acids (oxalic, succinic, fumaric, malic, tartaric, citric, quinic and fumaric acids) in four representative coffee samples. The HPLC procedure was more convenient than that described in the literature since no pre-purification was required for quantification of the OAs.