Search Results - "Leite, Vitor BP"

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  1. 1

    Capturing Transition Paths and Transition States for Conformational Rearrangements in the Ribosome by Noel, Jeffrey K., Chahine, Jorge, Leite, Vitor B.P., Whitford, Paul Charles

    Published in Biophysical journal (16-12-2014)
    “…To reveal the molecular determinants of biological function, one seeks to characterize the interactions that are formed in conformational and chemical…”
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  2. 2

    Topography of funneled landscapes determines the thermodynamics and kinetics of protein folding by Wang, Jin, Oliveira, Ronaldo J, Chu, Xiakun, Whitford, Paul C, Chahine, Jorge, Han, Wei, Wang, Erkang, Onuchic, José N, Leite, Vitor B.P

    “…The energy landscape approach has played a fundamental role in advancing our understanding of protein folding. Here, we quantify protein folding energy…”
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  3. 3

    Capturing Transition Paths and Transition States for Conformational Rearrangements in the Ribosome by Noel, Jeffrey K, Chahine, Jorge, Leite, Vitor BP, Whitford, Paul Charles

    Published in Biophysical journal (16-12-2014)
    “…Microtubule diversity, arising from the utilization of different tubulin genes and from posttranslational modifications, regulates many cellular processes…”
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  4. 4

    Analyzing the effect of homogeneous frustration in protein folding by Contessoto, Vinícius G., Lima, Debora T., Oliveira, Ronaldo J., Bruni, Aline T., Chahine, Jorge, Leite, Vitor B. P.

    “…ABSTRACT The energy landscape theory has been an invaluable theoretical framework in the understanding of biological processes such as protein folding,…”
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  5. 5

    Configuration-Dependent Diffusion Dynamics of Downhill and Two-State Protein Folding by Xu, Weixin, Lai, Zaizhi, Oliveira, Ronaldo J, Leite, Vitor B. P, Wang, Jin

    Published in The journal of physical chemistry. B (03-05-2012)
    “…Configuration-dependent diffusion (CDD) is important for protein folding kinetics with small thermodynamic barriers. CDD can be even more crucial in downhill…”
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  6. 6

    Supervised Variational Relevance Learning, An Analytic Geometric Feature Selection with Applications to Omic Datasets by Boareto, Marcelo, Cesar, Jonatas, Leite, Vitor B. P., Caticha, Nestor

    “…We introduce Supervised Variational Relevance Learning (Suvrel), a variational method to determine metric tensors to define distance based similarity in…”
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  7. 7

    Inferring a weighted elastic network from partial unfolding with coarse-grained simulations by de Mendonça, Matheus R., Rizzi, Leandro G., Contessoto, Vinicius, Leite, Vitor B. P., Alves, Nelson A.

    “…ABSTRACT A number of studies have demonstrated that simple elastic network models can reproduce experimental B‐factors, providing insights into the…”
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  8. 8

    The Origin of Nonmonotonic Complex Behavior and the Effects of Nonnative Interactions on the Diffusive Properties of Protein Folding by Oliveira, Ronaldo J., Whitford, Paul C., Chahine, Jorge, Wang, Jin, Onuchic, José N., Leite, Vitor B.P.

    Published in Biophysical journal (21-07-2010)
    “…We present a method for calculating the configurational-dependent diffusion coefficient of a globular protein as a function of the global folding process…”
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