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Sökning: WFRF:(Dourado A M)

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  • Pimenta, A. C., et al. (författare)
  • Dynamic Structure of NGF and proNGF Complexed with p75NTR : Pro-Peptide Effect
  • 2014
  • Ingår i: Journal of Chemical Information and Modeling. - : American Chemical Society (ACS). - 1549-9596 .- 1549-960X. ; 54:7, s. 2051-2067
  • Tidskriftsartikel (refereegranskat)abstract
    • Crystallographic structures of NGF/p75NTR and proNGF/p75NTR were previously obtained in 2:1 and 2:2 stoichiometries, respectively. However, evidence shows that both stoichiometries can occur for mature neurotrophins and proneurotrophins. We used Molecular Dynamics (MD) simulations to examine the energetic and structural characteristics of these two complete systems as well as the uncomplexed forms of NGF and understand how these could translate in a new view of different biological outcomes. Here, we show that one chain at the 2:2 proNGF complex seems to be preferentially lost creating a 2:1 structure able to interact with sortilin. We also demonstrated that the structure of the neurotrophin dimers is not pre-established and suffers large structural modifications upon p75NTR binding. Moreover, our data suggests an elegant explanation for the dual role of NGF in neuronal cell death and survival, where different stoichiometries induce conformational changes that might be the basis for the different biological outcomes observed with the mature and proforms of neurotrophins.
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  • Teixeira, C A, et al. (författare)
  • EPILAB: A software package for studies on the prediction of epileptic seizures
  • 2011
  • Ingår i: Journal of Neuroscience Methods. - : Elsevier. - 0165-0270 .- 1872-678X. ; 200:2, s. 257-271
  • Tidskriftsartikel (refereegranskat)abstract
    • A Matlab (R)-based software package, EPILAB, was developed for supporting researchers in performing studies on the prediction of epileptic seizures. It provides an intuitive and convenient graphical user interface. Fundamental concepts that are crucial for epileptic seizure prediction studies were implemented. This includes, for example, the development and statistical validation of prediction methodologies in long-term continuous recordings. less thanbrgreater than less thanbrgreater thanSeizure prediction is usually based on electroencephalography (EEG) and electrocardiography (ECG) signals. EPILAB is able to process both EEG and ECG data stored in different formats. More than 35 time and frequency domain measures (features) can be extracted based on univariate and multivariate data analysis. These features can be post-processed and used for prediction purposes. The predictions may be conducted based on optimized thresholds or by applying classifications methods such as artificial neural networks, cellular neuronal networks, and support vector machines. less thanbrgreater than less thanbrgreater thanEPILAB proved to be an efficient tool for seizure prediction, and aims to be a way to communicate, evaluate, and compare results and data among the seizure prediction community.
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