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Computational methods are rapidly gaining importance in the field of structural biology, mostly due to the explosive progress in genome sequencing projects and the large disparity between the number of sequences and the number of structures. There has been an exponential growth in the number of available protein sequences and a slower growth in the number(More)
BACKGROUND Fatigue is a common side effect of cancer (CA) treatment. We used a novel analytical method to identify and validate a specific gene cluster that is predictive of fatigue risk in prostate cancer patients (PCP) treated with radiotherapy (RT). METHODS A total of 44 PCP were categorized into high-fatigue (HF) and low-fatigue (LF) cohorts based on(More)
Exponential growth in the number of available protein sequences is unmatched by the slower growth in the number of structures. As a result, the development of efficient and fast protein secondary structure prediction methods is essential for the broad comprehension of protein structures. Computational methods that can efficiently determine secondary(More)
One of the major challenges in reservoir modeling for optimizing production is characterizing the spatial distribution of heterogeneous reservoir properties – facies, porosity, and permeability. Time-lapse seismic data in combination with geological and flow modeling has evolved as an important diagnostic tool for efficient reservoir characterization.(More)
Despite the evidence regarding the influence of certain polyphenol food sources on the metabolic profile in feces, the association between the different phenolics provided by the diet and the fecal phenolic profile has not been elucidated. In this study, the composition of phenolic metabolites in fecal solutions was analyzed by UPLC-ESI-MS/MS in 74(More)
PURPOSE The cure rate in Hodgkin lymphoma is high, but the response along with treatment is still unpredictable and highly variable among patients. Detecting those patients who do not respond to treatment at early stages could bring improvements in their treatment. This research tries to identify the main biological prognostic variables currently gathered(More)
There is growing evidence of an accumulation of mutations and mechanisms of resistance to targeted therapies in cancer. Non-small-cell lung cancer (NSCLC) is still an untreatable disease and is the leading cause of cancer related deaths worldwide (Gridelli et al., 2015). Various strategies have been proposed to increase the survival of NSCLC patients ,(More)
PURPOSE Mitochondrial dysfunction is a plausible biological mechanism for cancer-related fatigue. Specific aims of this study were to (1) describe the levels of mitochondrial oxidative phosphorylation complex (MOPC) enzymes, fatigue, and health-related quality of life (HRQOL) before and at completion of external beam radiation therapy (EBRT) in men with(More)
BACKGROUND B-cell chronic lymphocytic leukemia (CLL) is a heterogeneous disease and the most common adult leukemia in western countries. IgVH mutational status distinguishes two major types of CLL, each associated with a different prognosis and survival. Sequencing identified NOTCH1 and SF3B1 as the two main recurrent mutations. We described a novel method(More)
| Inverse problems are ill-posed. Posterior sampling is the way of providing an estimate of the uncertainty based on a finite set of the family of models that fit the observed data within the same tolerance. Monte Carlo methods are used for this purpose but they are highly inefficient. Global optimization methods are able to address the sampling problem.(More)