جستجوی مقالات مرتبط با کلیدواژه « computational immunology » در نشریات گروه « پزشکی »

Immunoglobulins (Igs) are protective glycoproteins specifically identify and eradicate microbes. Fragment of antigen binding (Fab) is a portion of antibody which binds to antigen and consists of one variable and one constant domain of one heavy and one light chain. Idiotypes, epitopes situated on Igs variable region, could be exploited to monitor and target malignant B cells and are usually located near the surface clefts of the Igs. In present study the superficial clefts in human IgG Fab region have been determined by computational data analysis. 

Amino acid sequences and third structure of reference human IgG were found in Protein Data Bank (PDB). Surface clefts in IgG-Fab have been defined by Profunc software in http://www.ebi.ac.uk/thornton-srv/databases/profunc data bank and Isocleft finder software on reference human IgG sequence.

Ten clefts on human IgG were recognized by Cleft analysis software. Two of the biggest clefts were located to variable region and third one was sited in constant region of the Fab. Also three clefts on human IgG were identified by Isocleft finder software in Fab region. First two clefts were in variable and constant domains and third one was in constant domains of the Fab.

The surface clefts of human IgG identified in the present study could be useful in determination of IgG epitopes, specific idiotypes and generating specific anti- idiotypic monoclonal antibodies to monitor/ target clonally expanded malignant B cells, as well as designing and producing the similar proteins structures for diagnostic and therapeutic purposes.

Immunoglobulins are a group of proteins that have important role in defense against microorganisms. Immunoglobulins consist of heavy and light chains. In human, immunoglobulin light chain comprises of two isotypes: Kappa (K) and lambda (λ) based on amino acid differences in carboxylic end of their constant region. Marked changes in the K to λ ratio can happen in monoclonal expansion of neoblastic B cells or HIV infection in neonatal periods. Highly sensitive and specific anti-light chain MAbs have clinical importance in the diagnosis and immunotherapy of patients with B-cell immunoproliferative diseases. Thus, precise determination of specific epitopes in light chains is very important. Computational immunology uses the computational data for more accurate diagnosis of diseases. This study describes determination of conformational epitopes in constant region of human immunoglobulin light chain by computational immunology.
The amino acid residue and third structure of reference human immunoglobulin G light chain was found in PDB database. The second immunoglobulin G structure was defined by Phyre 2 software. Conformational epitopes of the immunoglobulin light chain were specified by CEP software.
In this study five conformational epitopes located on constant domain of human immunoglobulin light chain were determined by CEP software. These conformational epitopes were located in 100-214 amino acid sequences of light chains.
In this study a number of conformational epitopes located on constant domain of human immunoglobulin light chain were determined. These epitopes are valuable tools for generating specific monoclonal anti-immunoglobulin light chain antibodies and might have possible implication in production of specific diagnostic kits for human immunoglobulin light chain, monitoring of monoclonal light chain diseases, treatment of related B cell tumors, epitope mapping of immunoglobulin light chain and evolutionary studies

Immunoinformatics or computational immunology has recently emerged as an important role player in the field of analytic sciences, remodelling and prediction of immune function, novel vaccine designing, allergenicitic analysis and drug discovery. Immunoinformatics has an important role in improving the immunological studies and its rapid development after human Genome sequencing project, as well as other organisms, has led to a great opportunity of access to huge immunological relevant information. This field of science acts as a connection between laboratory experiments and computational sciences. These achievements extensively have vital strategic value from the perspective of global health and besides, it is less time and cost consuming. This article, reviews different general and specific immunological databases, predicts approaches to both B and T cell epitopes and principle of vaccine bioinformatics and finally describes applications of Immnoinformatics. In fact the main aim of this review was to introduce this technique to Iranian researchers who are less familiar with this immunological analytic tool, hoping this would provide them with new and up to date approach toward their immunological studies.