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Current Protein & Peptide
Science
ISSN: 1389-2042

Current Protein and Peptide
Science
Volume 8, Number 3, June 2007
Contents

Recent Progress in Measuring Structural Similarity
Between Proteins Pp. 219-241
Oliviero Carugo
[Abstract]
Bioinformatics Approaches for Disulfide Connectivity
Prediction Pp. 243-260
Chi-Hung Tsai, Chen-Hsiung Chan, Bo-Juen Chen, Cheng-Yan
Kao, Hsuan-Liang Liu and Jyh-Ping Hsu
[Abstract]
Glycoprotein Targeting and Other Applications of Lectins
in Biotechnology Pp. 261-271
Aabgeena Naeem, M. Saleemuddin and Rizwan Hasan Khan
[Abstract]
Enzymes Catalyzing Protein Folding and Their Cellular
Functions Pp. 273-282
Natalya Nagradova
[Abstract]
Structure-Function Relation of Somatotropin with Reference
to Molecular Modeling Pp. 283-292
Amtul Jamil Sami
[Abstract]
The PYRIN Domain in Signal Transduction Pp.
293-310
Christian Stehlik
[Abstract]
Abstracts

[Back to top]
Recent Progress in Measuring Structural
Similarity Between Proteins
Oliviero Carugo
Surprisingly, after at least two decades of researches focused
on the analysis of the similarity between protein three-dimensional
structures, several new comparison methods were proposed during
the last few years. These are briefly summarized and commented
below. Some of the newly developed techniques are fast and
were designed to handle large amounts of data and vast structural
databases. Other methods are much slower and were developed
to gain biological information by comparing distantly related
protein structures. Additional studies were devoted to the
problem of the multiple structural alignments and to strategies
of comparison between alternative structural alignments.
[Back to top]
Bioinformatics Approaches for Disulfide Connectivity
Prediction
Chi-Hung Tsai, Chen-Hsiung Chan, Bo-Juen Chen, Cheng-Yan
Kao, Hsuan-Liang Liu and Jyh-Ping Hsu
Protein structure prediction with computational methods has
gained much attention in the research fields of protein engineering
and protein folding studies. Due to the vastness of conformational
space, one of the major tasks is to restrain the flexibility
of protein structure and reduce the search space. Many studies
have revealed that, with the information of disulfide connectivity
available, the search in conformational space can be dramatically
reduced and lead to significant improvements in the prediction
accuracy. As a result, predicting disulfide connectivity using
bioinformatics approaches is of great interest nowadays.
In this mini-review, the prediction of disulfide connectivity
in proteins will be discussed in four aspects: (1) how the
problem formulated and the computational techniques used in
the literatures; (2) the effects of the features adopted to
encode the information and the biological meanings implied;
(3) the problems encountered and limitations of disulfide
connectivity prediction; and (4) the practical usages of predicted
disulfide bond information in molecular simulation and the
prospects in the future.
[Back to top]
Glycoprotein Targeting and Other Applications of Lectins
in Biotechnology
Aabgeena Naeem, M. Saleemuddin and Rizwan Hasan Khan
Glycoconjugates comprise a variety of structures, include
glycoproteins and glycolipids and are found on the surfaces
of animal and plant cells, as well as on the surface of microorganisms.
Determination of the structure and the distribution of glycoconjugates
on cell surfaces are important for the understanding their
biological function. Lectins are useful to investigate protein-carbohydrate
interactions, because they have specificity for defined carbohydrate
structure. They have been implicated in cell-to-cell recognition
and signaling, blood group typing, in immune recognition process,
and various other biological processes, such as viral, bacterial,
mycoplasmal and parasitic infections, fertilization, cancer
metastasis, growth and differentiation. Once thought to be
confined to plant seeds, lectins are now recognized as ubiquitous
in virtually all living systems, ranging from viruses and
bacteria to animals. Plant lectins provide a rich source of
carbohydrate-recognizing protein reagents for glycobiologists
and biotechnologists. Biotechnology offers the therapeutic
use of lectin against certain life threatening diseases such
as human immunodeficiency virus and cancer. This review presents
a comprehensive summary of research efforts that focus on
the actual and potential uses and advantages of using lectins
to target glycoproteins and also glycoproteins to target lectins.
[Back to top]
Enzymes Catalyzing Protein Folding and Their Cellular
Functions
Natalya Nagradova
In live cells, protein folding often cannot occur spontaneously,
but requires the participation of helper proteins –
molecular chaperones and foldases. The mechanisms employed
by chaperones markedly increase the effectiveness of protein
folding, but have no bearing on the rate of this process,
whereas foldases actually accelerate protein folding by exerting
a direct influence on the rate-limiting steps of the overall
reaction. Two types of foldases are known, using different
principles of action. Peptidyl-prolyl cis/trans isomerase
and protein-disulfide isomerase catalyze the folding of every
protein that needs isomerization of prolyl peptide bonds or
formation and isomerization of disulfide bonds for proper
folding. By contrast, some foldases operating in the periplasm
of bacterial cells are specifically designed to help in the
folding of substrate proteins whose primary structure does
not contain sufficient information for correct folding. In
this review, we discuss recent data on the catalytic mechanisms
of both types of foldases, focusing specifically on how a
catalyst provides the structural information required for
the folding of a target protein. Comparative analysis of the
mechanisms employed by two different periplasmic foldases
is used to substantiate the notion that combinations of a
protein which is unable to fold independently and a specific
catalyst delivering the necessary steric information are probably
designed to achieve some particular biological purposes. The
review also covers the problem of participation of peptidyl-prolyl
cis/trans isomerase in different cellular functions,
highlighting the role of this enzyme in conformational rearrangements
of folded native proteins.
[Back to top]
Structure-Function Relation of Somatotropin with Reference
to Molecular Modeling
Amtul Jamil Sami
Somatotropin, commonly known as growth hormone (GH) is a polypeptide
chain containing about 190 amino acid residues, produced by
the pituitary gland in mammals and is responsible for a number
of anabolic processes. It has two disulphide bridges, with
4 alpha helices arranged in anti-paralel distinctive manner.
GH molecule binds with two receptor molecules to exhibit its
full biological activity. In this review, the information
regarding charecterization, structure and function is updated.
A number of human growth hormone variants (naturally occuring
and poduced by recombinant DNA- technology) are visualised,
and structure related functions are revealed. 1) The di-sulphide
bridges are not essential for the biological activity of the
molecule. The two chain variants of GH are able to show full
biological activity. 2) The different domains of GH could
be related to its functions 3) N-terminus of the molecule
is involved in the galactopoietic activity of the molecule.
4) A single amio acid residue at a particular position could
determine the magnitude of hormone receptor binding. 5) Role
of Trp 86 is critical in packing of the apha helices bundles
of the molecule. 6) Hydrophobic cores are essential for the
stability of GH molecule 7) Salt bridges and hydrogen bonds
are also important for the binding of the molecule with its
receptors. 8) GH molecule has two binding sites for receptor
molecules, SiteI and Site II which are sterically coupled.
The placental growth hormone has also been discussed and compared
with the pituitary derived GH for its structure and function.
[Back to top]
The PYRIN Domain in Signal Transduction
Christian Stehlik
The Death Domain Fold superfamily of evolutionarily conserved
protein-protein interaction domains consists of 4 subfamilies:
the death domain, the death effector domain, the caspase recruitment
domain, and the PYRIN domain. Interaction of Death Domain
Fold containing proteins modulates the activity of several
downstream effectors, such as caspases and transcription factors.
Recent studies provide evidence for not only homotypic-, but
also heterotypic interactions among different sub-families,
and even unconventional non-death domain fold interactions.
As the number of potential protein associations among Death
Domain Fold containing proteins expands and their influence
on cellular responses increases, a challenging field for new
investigations opens up. This review will focus on PYRIN domain-containing
proteins and discuss the recent advances that provide strong
evidence that PYRIN domain-mediated signal transduction has
broad implications on cellular functions, including innate
immunity, inflammation, differentiation, apoptosis, and cancer.
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