Pharmacoinformatics, Adaptive Evolution, and Elucidation of Six Novel Compounds for Schizophrenia Treatment by Targeting DAOA (G72)‎ Isoforms

المؤلف

Sehgal, Sheikh Arslan

المصدر

BioMed Research International

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-19، 19ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-01-19

دولة النشر

مصر

عدد الصفحات

19

التخصصات الرئيسية

الطب البشري

الملخص EN

Studies on Schizophrenia so far reveal a complex picture of neurological malfunctioning reported to be strongly associated with DAOA.

Detailed sequence analyses proved DAOA as a primate specific gene having conserved gene desert region on both upstream and downstream region.

The analyses of 10 MB chromosomal region of primates, birds, rodents, and reptiles having DAOA evidenced the conserved part in primates and in the rest of species, while DAOA is only present in primates.

DAOA has four isoforms having one interaction partner DAO.

Protein-protein analyses of four DAOA isoforms with DAO were performed individually and find potential interacting residues computationally.

It was observed that molecular docking of approved FDA drugs revealed efficient results but there was no common drug with effective binding to all DAOA isoforms.

Library of compounds was constructed by virtual screening of 2D similarity search against recommended SZ drugs in conjunction with their physiochemical properties.

Molecular docking resulted in six novel compounds exhibiting maximum binding affinity with selected four DAOA isoforms.

However not the entire schizophrenic population responds to the single drug and interestingly in this study six novel compounds having promising results and same binding site to that DAOA that may be used to interact with DAO against four DAOA isoforms were observed.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Sehgal, Sheikh Arslan. 2017. Pharmacoinformatics, Adaptive Evolution, and Elucidation of Six Novel Compounds for Schizophrenia Treatment by Targeting DAOA (G72) Isoforms. BioMed Research International،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1137843

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Sehgal, Sheikh Arslan. Pharmacoinformatics, Adaptive Evolution, and Elucidation of Six Novel Compounds for Schizophrenia Treatment by Targeting DAOA (G72) Isoforms. BioMed Research International No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1137843

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Sehgal, Sheikh Arslan. Pharmacoinformatics, Adaptive Evolution, and Elucidation of Six Novel Compounds for Schizophrenia Treatment by Targeting DAOA (G72) Isoforms. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1137843

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1137843