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1.
J Struct Biol ; 180(1): 201-15, 2012 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-22651963

RESUMO

The identification of intrinsically disordered proteins (IDPs) among the targets that fail to form satisfactory crystal structures in the Protein Structure Initiative represents a key to reducing the costs and time for determining three-dimensional structures of proteins. To help in this endeavor, several Protein Structure Initiative Centers were asked to send samples of both crystallizable proteins and proteins that failed to crystallize. The abundance of intrinsic disorder in these proteins was evaluated via computational analysis using predictors of natural disordered regions (PONDR®) and the potential cleavage sites and corresponding fragments were determined. Then, the target proteins were analyzed for intrinsic disorder by their resistance to limited proteolysis. The rates of tryptic digestion of sample target proteins were compared to those of lysozyme/myoglobin, apomyoglobin, and α-casein as standards of ordered, partially disordered and completely disordered proteins, respectively. At the next stage, the protein samples were subjected to both far-UV and near-UV circular dichroism (CD) analysis. For most of the samples, a good agreement between CD data, predictions of disorder and the rates of limited tryptic digestion was established. Further experimentation is being performed on a smaller subset of these samples in order to obtain more detailed information on the ordered/disordered nature of the proteins.


Assuntos
Modelos Moleculares , Proteínas/química , Animais , Calibragem , Dicroísmo Circular/normas , Biologia Computacional , Cristalização , Cristalografia por Raios X , Bases de Dados de Proteínas , Eletroforese em Gel de Poliacrilamida , Humanos , Bases de Conhecimento , Estrutura Secundária de Proteína , Estrutura Terciária de Proteína , Proteólise , Padrões de Referência , Homologia Estrutural de Proteína , Tripsina/química
2.
Bull Cancer ; 105(5): 475-485, 2018 May.
Artigo em Francês | MEDLINE | ID: mdl-29573809

RESUMO

The safety of the community treatment with oral anticancer therapies is a strong theme of the cancer plan 2014-2019. The objective of this study was to develop a Pharmaceutical Counseling Guide to improve medication adherence in patients treated for multiple myeloma with oral anticancer therapies. A multidisciplinary professional working group selected a list of relevant medication adherence-related items that served as the framework for the design of the pharmaceutical counseling support materials in patient-accessible language. The readability, understanding and memorization of the information were validated in ten patients treated for myeloma. Twelve items were selected for treatment information (5 items), treatment planning (5 items), and adverse drug effects (2 items). A pharmacist guide, a patient guide, a medication schedule, and three self-questionnaires to evaluate medication knowledge and understanding of patients were developed. The patient test resulted in changes in these documents. This study carried out the initial validation of documents to standardize the pharmaceutical counseling for patients treated for myeloma so that it can be reproduced from one patient to another regardless of the pharmacist, by standardizing the information issued. This study needs to be completed by a final validation in myeloma patients, free from oral anticancer therapies.


Assuntos
Protocolos de Quimioterapia Combinada Antineoplásica/uso terapêutico , Aconselhamento/normas , Adesão à Medicação , Mieloma Múltiplo/tratamento farmacológico , Educação de Pacientes como Assunto/normas , Guias de Prática Clínica como Assunto/normas , Idoso , Bortezomib/administração & dosagem , Dexametasona/administração & dosagem , Feminino , Hospitais Universitários , Humanos , Lenalidomida , Masculino , Melfalan/administração & dosagem , Prednisona/administração & dosagem , Estudos Prospectivos , Talidomida/administração & dosagem , Talidomida/análogos & derivados
3.
J Biomol Struct Dyn ; 24(4): 325-42, 2007 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-17206849

RESUMO

The Protein Data Bank (PDB) is the preeminent source of protein structural information. PDB contains over 32,500 experimentally determined 3-D structures solved using X-ray crystallography or nuclear magnetic resonance spectroscopy. Intrinsically disordered regions fail to form a fixed 3-D structure under physiological conditions. In this study, we compare the amino-acid sequences of proteins whose structures are determined by X-ray crystallography with the corresponding sequences from the Swiss-Prot database. The analyzed dataset includes 16,370 structures, which represent 18,101 PDB chains and 5,434 different proteins from 910 different organisms (2,793 eukaryotic, 2,109 bacterial, 288 viral, and 244 archaeal). In this dataset, on average, each Swiss-Prot protein is represented by 7 PDB chains with 76% of the crystallized regions being represented by more than one structure. Intriguingly, the complete sequences of only approximately 7% of proteins are observed in the corresponding PDB structures, and only approximately 25% of the total dataset have >95% of their lengths observed in the corresponding PDB structures. This suggests that the vast majority of PDB proteins is shorter than their corresponding Swiss-Prot sequences and/or contain numerous residues, which are not observed in maps of electron density. To determine the prevalence of disordered regions in PDB, the residues in the Swiss-Prot sequences were grouped into four general categories, "Observed" (which correspond to structured regions), "Not observed" (regions with missing electron density, potentially disordered), "Uncharacterized," and "Ambiguous," depending on their appearance in the corresponding PDB entries. This non-redundant set of residues can be viewed as a 'fragment' or empirical domain database that contains a set of experimentally determined structured regions or domains and a set of experimentally verified disordered regions or domains. We studied the propensities and properties of residues in these four categories and analyzed their relations to the predictions of disorder using several algorithms. "Non-observed," "Ambiguous," and "Uncharacterized" regions were shown to possess the amino acid compositional biases typical of intrinsically disordered proteins. The application of four different disorder predictors (PONDR(R) VL-XT, VL3-BA, VSL1P, and IUPred) revealed that the vast majority of residues in the "Observed" dataset are ordered, and that the "Not observed" regions are mostly disordered. The "Uncharacterized" regions possess some tendency toward order, whereas the predictions for the short "Ambiguous" regions are really ambiguous. Long "Ambiguous" regions (>70 amino acid residues) are mostly predicted to be ordered, suggesting that they are likely to be "wobbly" domains. Overall, we showed that completely ordered proteins are not highly abundant in PDB and many PDB sequences have disordered regions. In fact, in the analyzed dataset approximately 10% of the PDB proteins contain regions of consecutive missing or ambiguous residues longer than 30 amino-acids and approximately 40% of the proteins possess short regions (> or =10 and < 30 amino-acid long) of missing and ambiguous residues.


Assuntos
Bases de Dados de Proteínas , Proteínas/química , Algoritmos , Sequência de Aminoácidos , Aminoácidos/análise , Animais , Proteínas Arqueais/química , Proteínas de Bactérias/química , Modelos Moleculares , Conformação Proteica , Proteínas Virais/química
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