DETERMINATION OF EFFECTIVE STRUCTURES OF ANTIBODIES IN BINDING TO DNA USING ARTIFICIAL NEURAL NETWORKS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MAHMOUDI M.; KHADEMI M.; MIRSALEHI M.; TAHERZADEH-SANI M.; AZEMI A.; NAGHIBI M.B.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Basic Medical Sciences Year:2004 | Volume:6 | Issue:4 (20) Page(s): 315-322

Download Full-Text

Persian Verion

View:

875

Download:

Cites:

Information Journal Paper

Title

DETERMINATION OF EFFECTIVE STRUCTURES OF ANTIBODIES IN BINDING TO DNA USING ARTIFICIAL NEURAL NETWORKS

Author(s)

Keywords

AUTOIMMUNE DISEASEQ4

SYSTEMIC LUPUS ERYTHEMATOSUS (SLE)Q4

ANTI-DNA ANTIBODYQ4

ARTIFICIAL NEURAL NETWORKQ2

PERCEPTRONQ3

GENETIC ALGORITHMQ2

Abstract

The accumulation of DNA-antibody immune complexes in kidneys is associated with SLE in human and lupus in mice. The level of serum of anti-DNA antibodies is also directly related to the disease severity. Determination of structures that confers DNA specificity in these antibodies can help in designing new therapeutic strategies. In this study, computer simulation and ARTIFICIAL NEURAL NETWORK (ANN) has been utilized for the first time to determine effective structure of anti-DNA antibodies in binding to DNA. VH CDR3, FR3 and CDR2 were designated the most effective regions in antibodies that bind to DNA, using an educated neural network. We have also shown that the presence of Arg in position 104, 109 and 113 of CDR3, position 63 and 64 of CDR2 and position 90 of FR3, enhances the DNA specificity of antibodies. A part of our result confirms the previous laboratory works, and the other part introduces novel structures that may be important in DNA binding. This study shows the potency of logic networks in solving medical dilemmas.

Cites

No record.

References

No record.

Cite

APA: Copy

MAHMOUDI, M., KHADEMI, M., MIRSALEHI, M., TAHERZADEH-SANI, M., AZEMI, A., & NAGHIBI, M.B.. (2004). DETERMINATION OF EFFECTIVE STRUCTURES OF ANTIBODIES IN BINDING TO DNA USING ARTIFICIAL NEURAL NETWORKS. IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES, 6(4 (20)), 315-322. SID. https://sid.ir/paper/52478/en

Vancouver: Copy

MAHMOUDI M., KHADEMI M., MIRSALEHI M., TAHERZADEH-SANI M., AZEMI A., NAGHIBI M.B.. DETERMINATION OF EFFECTIVE STRUCTURES OF ANTIBODIES IN BINDING TO DNA USING ARTIFICIAL NEURAL NETWORKS. IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES[Internet]. 2004;6(4 (20)):315-322. Available from: https://sid.ir/paper/52478/en

IEEE: Copy

M. MAHMOUDI, M. KHADEMI, M. MIRSALEHI, M. TAHERZADEH-SANI, A. AZEMI, and M.B. NAGHIBI, “DETERMINATION OF EFFECTIVE STRUCTURES OF ANTIBODIES IN BINDING TO DNA USING ARTIFICIAL NEURAL NETWORKS,” IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES, vol. 6, no. 4 (20), pp. 315–322, 2004, [Online]. Available: https://sid.ir/paper/52478/en

Related Journal Papers