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Debora T. Lima

Bio: Debora T. Lima is an academic researcher from Sao Paulo State University. The author has contributed to research in topics: Protein folding. The author has an hindex of 1, co-authored 1 publications receiving 28 citations.

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Journal ArticleDOI
01 Oct 2013-Proteins
TL;DR: A simple theoretical model is proposed as a useful tool for experimentalists to predict the limits of improvements in real proteins, and its findings strongly correlate with the protein free‐energy folding barrier and the absolute contact order parameters.
Abstract: Departamento de Fisica Instituto de Biociencias, Letras e Ciencias Exatas Universidade Estadual Paulista, Sao Jose do Rio Preto, Sao Paulo, 15054-000

35 citations


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TL;DR: In this paper, the authors use the energy landscape approach to understand the structure of protein foldings and the mechanism of protein folding, and the success of energy landscape ideas in protein structure prediction.
Abstract: The understanding, and even the description of protein folding is impeded by the complexity of the process. Much of this complexity can be described and understood by taking a statistical approach to the energetics of protein conformation, that is, to the energy landscape. The statistical energy landscape approach explains when and why unique behaviors, such as specific folding pathways, occur in some proteins and more generally explains the distinction between folding processes common to all sequences and those peculiar to individual sequences. This approach also gives new, quantitative insights into the interpretation of experiments and simulations of protein folding thermodynamics and kinetics. Specifically, the picture provides simple explanations for folding as a two-state first-order phase transition, for the origin of metastable collapsed unfolded states and for the curved Arrhenius plots observed in both laboratory experiments and discrete lattice simulations. The relation of these quantitative ideas to folding pathways, to uni-exponential {\em vs.} multi-exponential behavior in protein folding experiments and to the effect of mutations on folding is also discussed. The success of energy landscape ideas in protein structure prediction is also described. The use of the energy landscape approach for analyzing data is illustrated with a quantitative analysis of some recent simulations, and a qualitative analysis of experiments on the folding of three proteins. The work unifies several previously proposed ideas concerning the mechanism protein folding and delimits the regions of validity of these ideas under different thermodynamic conditions.

206 citations

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TL;DR: Recent advances in using biophysical modeling to gain insight into experimentally observed nonnative behaviors and IDP properties are surveyed.

75 citations

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TL;DR: In this article, the frustration between discrepant goals in a recurrent system leads to fundamental insights about the chances and necessities that shape the encoding of biological information, which is the core of evolution and often conflicts with the physical constraints.

55 citations

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TL;DR: This review describes drugs – approved, repurposed, or under investigation – that can be used to accumulate misfolded proteins in cancer cells, and particularly focuses on the molecular aspects that lead to the cytotoxicity of misfolding proteins incancer cells.
Abstract: The application of cytostatic drugs targeting the high proliferation rates of cancer cells is currently the most commonly used treatment option in cancer chemotherapy. However, severe side effects and resistance mechanisms may occur as a result of such treatment, possibly limiting the therapeutic efficacy of these agents. In recent years, several therapeutic strategies have been developed that aim at targeting not the genomic integrity and replication machinery of cancer cells, but instead their protein homeostasis. During malignant transformation, the cancer cell proteome develops vast aberrations in the expression of mutated proteins, oncoproteins, drug- and apoptosis-resistance proteins, etc. A complex network of protein quality control mechanisms, including chaperoning by heat shock proteins, not only is essential for maintaining the extravagant proteomic lifestyle of cancer cells but also represents an ideal cancer-specific target to be tackled. Furthermore, the high rate of protein synthesis and turnover in certain types of cancer cells can be specifically directed by interfering with the proteasomal and autophagosomal protein recycling and degradation machinery, as evidenced by the clinical application of proteasome inhibitors. Since proteins with loss of their native conformation are prone to unspecific aggregations and have proved to be detrimental to normal cellular function, specific induction of misfolded proteins by heat shock protein inhibitors, proteasome inhibitors, hyperthermia, or inducers of endoplasmic reticulum stress represents a new method of cancer cell killing exploitable for therapeutic purposes. This review describes drugs—approved, repurposed, or under investigation—that can be used to accumulate misfolded proteins in cancer cells, and particularly focuses on the molecular aspects that lead to the cytotoxicity of misfolded proteins in cancer cells.

41 citations

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TL;DR: This study provides new information and a comprehensive description of the electrostatic contribution to protein G stability, including the role of each charged residue in the protein's thermal stability through the TKSA method.

32 citations