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  • ISSN: 2379-089X
    Volume 1, Issue 1
    Ling Lin and Kebin Hu*
    According to the most recent report from American Heart Association, stroke is among the leading causes of death in general population [1]. The predominant form of stroke is the ischemic stroke, which is caused by the clot within a blood vessel that disrupts the blood supply. Currently, the only FDA-approved treatment is tissue-type plasminogen activator (tPA).
    Janet Sultana and Gianluca Trifiro*
    Before being launched on the market, the randomized clinical trials (RCTs) that investigate drug efficacy also investigate the safety profile of therapeutic drugs. Since RCTs are often conducted in populations which are not strictly representative of the population which will actually use them and because the study population size and the follow-up in an RCT is usually limited, the spectrum and frequency of adverse drug reactions (ADRs) detected is however very limited.
    Jenny K.W. Lam* and Alan J. Worsley
    RNA interference (RNAi) – gene silencing by double-stranded RNA, is a Nobel Prize winning discovery by Fire and Mellow [1]. Since RNAi was found to occur in mammalian cells, it has been intensively investigated as a new therapeutic strategy. RNAi can be triggered by the introduction of synthetic sequence-specific small interfering RNA (siRNA), which is able to target and cleave complementary messenger RNA (mRNA) to achieve specific gene silencing. SiRNA is short double-stranded RNA molecule (21-25 base pairs) with a characteristic 2 nucleotide 3’ overhang that allows it to be recognized by the machinery of RNAi that eventually leads to degradation of target mRNA. The mechanism involving siRNA in order to achieve RNAi has been extensively reviewed [2-4].
    Short Communication
    Natalia Kireeva1,2*, Svetlana I. Ovchinnikova1,2 and Aslan Yu. Tsivadze1
    Abstract: Over the years, a number of dimensionality reduction techniques have been proposed and used in chemo informatics to perform nonlinear mappings. Nevertheless, data visualization techniques can be efficiently applied for dimensionality reduction mainly in a case if the data are not really high-dimensional and can be represented as a nonlinear low-dimensional manifold when it is possible to reduce dimensionality without significant information loss. In this study several intrinsic dimensionality estimation approaches have been investigated: the Geodesic Minimum Spanning Tree, the Eigen value-based and the Maximum Likelihood Estimators. Their performance has been compared for visualizing toxicity data in different descriptor spaces.
    Snape, Timothy J*
    The rise of antibiotic resistance is quickly becoming an issue of worldwide concern. Whilst to some people it may appear to be tomorrow’s problem, to many others, tomorrow has now arrived and it is time to address it. In essence, we are losing the battle against infectious diseases because—to coin a phrase from England’sChief Medical Officer, Professor Dame Sally Davies—“the drugs don’t work”; bacteria are becoming resistant [1].
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