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1.
Int J Biol Macromol ; 22(3-4): 271-81, 1998.
Artigo em Inglês | MEDLINE | ID: mdl-9650082

RESUMO

alpha-Crystallin is a multimeric lenticular protein that has recently been shown to be expressed in several non-lenticular tissues as well. It is shown to prevent aggregation of non-native proteins as a molecular chaperone. By using a non-thermal aggregation model, we could show that this process is temperature-dependent. We investigated the chaperone-like activity of alpha-crystallin towards photo-induced aggregation of gamma-crystallin, aggregation of insulin and on the refolding induced aggregation of beta- and gamma-crystallins. We observed that alpha-crystallin could prevent photo-aggregation of gamma-crystallin and this chaperone-like activity of alpha-crystallin is enhanced several fold at temperatures above 30 degrees C. This enhancement parallels the exposure of its hydrophobic surfaces as a function of temperature, probed using hydrophobic fluorescent probes such as pyrene and 8-anilinonaphthalene-1-sulfonate. We, therefore, concluded that alpha-crystallin prevents the aggregation of other proteins by providing appropriately placed hydrophobic surfaces; a structural transition above 30 degrees C involving enhanced or re-organized hydrophobic surfaces of alpha-crystallin is important for its chaperone-like activity. We also addressed the issue of conformational aspects of target proteins and found that their aggregation prone molten globule states bind to alpha-crystallin. We trace these developments and discuss some new lines that suggest the role of tertiary structural aspects in the chaperone process.


Assuntos
Cristalinas/química , Cristalinas/metabolismo , Chaperonas Moleculares/química , Chaperonas Moleculares/metabolismo , Animais , Cristalinas/efeitos da radiação , Ditiotreitol , Técnicas In Vitro , Insulina/química , Insulina/metabolismo , Substâncias Macromoleculares , Chaperonas Moleculares/efeitos da radiação , Fotoquímica , Ligação Proteica , Conformação Proteica , Dobramento de Proteína , Estrutura Terciária de Proteína , Temperatura
2.
Eur J Biochem ; 243(1-2): 42-8, 1997 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-9030720

RESUMO

The four calcium-binding sites, called the helix-loop-helix, or the EF-hand motifs, of calmodulin differ in their ion-binding affinities; this has been thought to arise due to the variations in the sequences of the loop regions where the ion binds. We focus attention here on the role of the flanking helical regions on the calcium-binding affinities. Peptides were synthesized in a manner that simulates the E and F helical flanks of site 4 (the strongest calcium-binding site of the calmodulin) to sandwich the loop sequences of sites 1, 2, 3 and 4 so as to produce peptides named 414, 424, 434 and 444, as well as using the helical flanks of site 1 (the weakest site) to produce peptides 111, 121, 131 and 141. Calcium binding was monitored using the calcium-mimic dye Stains-all (4,4,4',5'-dibenzo-3,3'-diethyl-9-methyl-thiacarbocyanine bromide). Binding abilities were seen to increase several-fold when the E and F helices of site 1 were replaced by those of site 4 (i.e., 111-414). In contrast, the intensity of circular dichroism induced in the absorption bands of the bound achiral dye decreased significantly when the helical flanks of site 4 were replaced with those of site 1 (i.e., 444-141). The helical flanks of site 4 impart greater binding ability to a given loop region, while the helical flanks of site 1 tend to weaken it.


Assuntos
Proteínas de Ligação ao Cálcio/química , Calmodulina/química , Sequência de Aminoácidos , Cálcio/química , Dicroísmo Circular , Simulação por Computador , Modelos Moleculares , Dados de Sequência Molecular , Peptídeos/química , Estrutura Secundária de Proteína
3.
J Biomol Struct Dyn ; 15(3): 605-9, 1997 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-9440006

RESUMO

In the course of computer simulation study looking for active sites for the interaction between MHC II and T7--a 12 residue long peptide of LSR2--a recombinant fusion protein mimicing the native bacillus M.Leprae--an interesting relationship between the antigenicity of LSR2 and VIF of BIF has come to light. Computer analysis study has revealed this stretch of residue from 36 to 48 of LSR2 is highly antigenic. The experimental observation seems to confirm the role of this 12 residue peptide in antibody response. In an effort to determine whether a significant sequence level relationship exists between this and any other known protein, the sequence homology of both protein and nucleic acid was studied. It is found that this 12 residue long peptide (T7) of LSR2 is homologous with Viral Infectivity Factor (VIF) of the Bovine Immunodeficiency Virus (BIV). Homology with translated nucleic acid sequence also indicate the same fact. The VIF gene which codes for this protein is known to be essential for ability of cell-free virus preparation to infect cells. These results lead to the question--whether this 12 residue long peptide which is common to both proteins play a role in their infectivity. Whether mutations in the peptide or elimination of this peptide from the protein and studying the effect of this on the diseases themselves may help in controlling them is another important question relevant to medical researchers.


Assuntos
Antígenos de Bactérias , Proteínas de Bactérias/química , Produtos do Gene vif/química , Vírus da Imunodeficiência Bovina/química , Mycobacterium leprae/química , Animais , Proteínas de Bactérias/genética , Bovinos , Bases de Dados Factuais , Epitopos/química , Epitopos/genética , Produtos do Gene vif/genética , Humanos , Mimetismo Molecular , Mycobacterium leprae/genética , Proteínas Recombinantes de Fusão/química , Proteínas Recombinantes de Fusão/genética , Análise de Sequência
4.
Int J Neural Syst ; 6(3): 317-57, 1995 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-8589867

RESUMO

The aim of the present work is to recognize printed and handwritten Telugu characters using artificial neural networks (ANNs). Earlier work on recognition of Telugu characters has been done using conventional pattern recognition techniques. We make an initial attempt here of using neural networks for recognition with the aim of improving upon earlier methods which do not perform effectively in the presence of noise and distortion in the characters. The Hopfield model of neural network working as an associative memory is chosen for recognition purposes initially. Due to limitation in the capacity of the Hopfield neural network, we propose a new scheme named here as the Multiple Neural Network Associative Memory (MNNAM). The limitation in storage capacity has been overcome by combining multiple neural networks which work in parallel. It is also demonstrated that the Hopfield network is suitable for recognizing noisy printed characters as well as handwritten characters written by different "hands" in a variety of styles. Detailed experiments have been carried out using several learning strategies and results are reported. It is shown here that satisfactory recognition is possible using the proposed strategy. A detailed preprocessing scheme of the Telugu characters from digitized documents is also described.


Assuntos
Idioma , Redes Neurais de Computação , Reconhecimento Automatizado de Padrão , Algoritmos , Inteligência Artificial , Escrita Manual , Índia
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