Atıf İçin Kopyala
Aljanabi R., Alsous L., Sabbah D. A., Gul H. İ., Gul M., Bardaweel S. K.
Molecules (Basel, Switzerland), cilt.26, sa.19, 2021 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
26
Sayı:
19
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Basım Tarihi:
2021
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Doi Numarası:
10.3390/molecules26196019
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Dergi Adı:
Molecules (Basel, Switzerland)
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Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Communication Abstracts, EMBASE, Food Science & Technology Abstracts, MEDLINE, Metadex, Veterinary Science Database, Directory of Open Access Journals, Civil Engineering Abstracts
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Anahtar Kelimeler:
monoamine oxidase, cancer, metastasis, inhibitors, QSAR, pharmacophore, QUANTITATIVE STRUCTURE-ACTIVITY, INHIBITORY-ACTIVITY, BIOLOGICAL-ACTIVITIES, PROSTATE-CANCER, LUNG-CANCER, MESENCHYMAL TRANSITION, SELECTIVE INHIBITORS, MEDICINAL CHEMISTRY, PYRROLE INHIBITORS, MOLECULAR DOCKING
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Atatürk Üniversitesi Adresli:
Evet
Özet
Monoamine oxidases (MAOs) are oxidative enzymes that catalyze the conversion of biogenic amines into their corresponding aldehydes and ketones through oxidative deamination. Owing to the crucial role of MAOs in maintaining functional levels of neurotransmitters, the implications of its distorted activity have been associated with numerous neurological diseases. Recently, an unanticipated role of MAOs in tumor progression and metastasis has been reported. The chemical inhibition of MAOs might be a valuable therapeutic approach for cancer treatment. In this review, we reported computational approaches exploited in the design and development of selective MAO inhibitors accompanied by their biological activities. Additionally, we generated a pharmacophore model for MAO-A active inhibitors to identify the structural motifs to invoke an activity.