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

Author

Sehgal, Sheikh Arslan

Source

BioMed Research International

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-19, 19 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-01-19

Country of Publication

Egypt

No. of Pages

19

Main Subjects

Medicine

Abstract 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.

American Psychological Association (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

Modern Language Association (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

American Medical Association (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

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1137843