Preparation, magnetic and EPR spectral studies of copper(II) complexes of an anticancer drug analogue

Ten new copper(II) complexes of five potential bisthiocarbohydrazone and biscarbohydrazone ligands were synthesized and physico-chemically characterized. The spectral and magnetic studies of compounds are consistent with the formation of asymmetric di-, tri- or tetranuclear copper(II) complexes of deprotonated forms of respective ligands. The variable temperature magnetic susceptibility measurements of all complexes showantiferromagnetic interactions between the Cu(II) centers, in agreement with very broad powder EPR spectra. However, frozen solution EPR spectral studies are found in contradiction with the solid-state magnetic studies and indicate that the complexes are not very stable in solutions; the possible fragmentations of complexes are found in agreement with MALDI MS results. The EPR spectral simulation of most of the compounds is in agreement with the presence of two uncoupled Cu(II) species in solution.

A Data Mining Approach for the Identification of Adverse Drug Events (ADE) resulting from Drug-Drug Interactions (DDI) to improve pharmacovigilance

In the current study, epidemiology study is done by means of literature survey in groups identified to be at higher potential for DDIs as well as in other cases to explore patterns of DDIs and the factors affecting them. The structure of the FDA Adverse Event Reporting System (FAERS) database is studied and analyzed in detail to identify issues and challenges in data mining the drug-drug interactions. The necessary pre-processing algorithms are developed based on the analysis and the Apriori algorithm is modified to suit the process. Finally, the modules are integrated into a tool to identify DDIs. The results are compared using standard drug interaction database for validation. 31% of the associations obtained were identified to be new and the match with existing interactions was 69%. This match clearly indicates the validity of the methodology and its applicability to similar databases. Formulation of the results using the generic names expanded the relevance of the results to a global scale. The global applicability helps the health care professionals worldwide to observe caution during various stages of drug administration thus considerably enhancing pharmacovigilance

Using Neural Network Classifier Support Vector Machine Regression for the prediction of Melting Point of Drug – like compounds

In our study we use a kernel based classification technique, Support Vector Machine Regression for predicting the Melting Point of Drug – like compounds in terms of Topological Descriptors, Topological Charge Indices, Connectivity Indices and 2D Auto Correlations. The Machine Learning model was designed, trained and tested using a dataset of 100 compounds and it was found that an SVMReg model with RBF Kernel could predict the Melting Point with a mean absolute error 15.5854 and Root Mean Squared Error 19.7576

Biofilm Forming Multi Drug Resistant Staphylococcus spp. Among Patients with Conjunctivitis

Biofilm forming multidrug resistant Staphylococcus spp. are major reservoirs for transmission of ophthalmic infections. They were isolated from ocular patients suffering from conjunctivitis. In this study we analyzed biofilm forming ability, antibiotic resistance profile of the Staphylococcus spp. isolated from clinical ocular patients, and their phylogenetic relationship with other community MRSA. Sixty Staphylococcus spp. strains isolated from clinical subjects were evaluated for their ability to form biofilm and express biofilm encoding ica gene. Among them 93% were slime producers and 87% were slime positive. Staphylococcus aureus and S. epidermidis were dominant strains among the isolates obtained from ocular patients. The strains also exhibited a differential biofilm formation quantitatively. Antibiotic susceptibility of the strains tested with Penicillin G, Ciprofloxacin, Ofloxacin, Methicillin, Amikacin, and Gentamicin indicated that they were resistant to more than one antibiotic. The amplicon of ica gene of strong biofilm producing S. aureus strains, obtained by polymerase chain reaction, was sequenced and their close genetic relationship with community acquired MRSA was analyzed based on phylogenetic tree. Our results indicate that they are genetically close to other community acquired MRSA

Protease inhibitor from Moringa oleifera with potential for use as therapeutic drug and as seafood preservative

Protease inhibitors are well known to have several applications in medicine and biotechnology. Several plant sources are known to return potential protease inhibitors. In this study plants belonging to different families of Leguminosae, Malvaceae, Rutaceae, Graminae and Moringaceae were screened for the protease inhibitor. Among them Moringa oleifera, belonging to the family Moringaceae, recorded high level of protease inhibitor activity after ammonium sulfate fractionation. M. oleifera, which grows throughout most of the tropics and having several industrial and medicinal uses, was selected as a source of protease inhibitor since so far no reports were made on isolation of the protease inhibitor. Among the different parts of M. oleifera tested, the crude extract isolated from the mature leaves and seeds showed the highest level of inhibition against trypsin. Among the various extraction media evaluated, the crude extract prepared in phosphate buffer showed maximum recovery of the protease inhibitor. The protease inhibitor recorded high inhibitory activity toward the serine proteases thrombin, elastase, chymotrypsin and the cysteine

Influence of the friends' network in drug use and violent behavior among young people in the nightlife recreational context

Resumen tomado de la publicaci??n

Validity of the self-report on drug use by university studentes : correspondence between self-reported use and use detected in urine

Resumen tomado de la publicaci??n

An introduction to Authentic World drug calculations

This 8 minute video provides a brief introduction to Authentic World, a website available to students in Health Sciences that enables them to practice drug calculations, get feedback on their performance and be formally assessed.

Drug Administration: rules and regulations for health care practitioners

These narrated slides explain the roles, responsibilites and practicalities in administering drugs. Although it has been developed with student nurses and midwives in mind it will be of use to students of all health care professions.

The causes of illegal drug industry growth in the Andes, Anti-Drug Policies and their effectiveness

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