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Perspectives on Computer Aided Drug Discovery

Cilt: 11 Sayı: 2 30 Aralık 2022
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Perspectives on Computer Aided Drug Discovery

Öz

The drug development and discovery process are challenging, take 15 to 20 years, and require approximately 1.5-2 billion dollars, from the critical selection of the target molecule to post-clinical market application. Several computational drug design methods identify and optimize target biologically lead compounds. Given the complexity and cost of the drug discovery process in recent years, computer-assisted drug discovery (CADD) has spread over a broad spectrum. CADD methods support the discovery of target molecules, optimization of small target molecules, analysis, and development processes faster and less costly. These methods can be classified into structure-based (SBDD) and ligand-based (LBDD). SBDD begins the development process by focusing on the knowledge of the three-dimensional structure of the biological target. Finally, this review article provides an overview of the details, purposes, uses in developing drugs, general workflows, tools used, limitations, and future of CADD methods, including the SBDD and LBDD processes that have become an integral part of pharmaceutical companies and academic research.

Anahtar Kelimeler

Computer-aided drug design, Structure-activity relationship, Cheminformatics, Molecular modeling, Virtual screening

Kaynakça

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Kaynak Göster

APA
Kırboğa, K. K., & Küçüksille, E. (2022). Perspectives on Computer Aided Drug Discovery. Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 11(2), 405-426. https://doi.org/10.55007/dufed.1103457
AMA
1.Kırboğa KK, Küçüksille E. Perspectives on Computer Aided Drug Discovery. DÜFED. 2022;11(2):405-426. doi:10.55007/dufed.1103457
Chicago
Kırboğa, Kevser Kübra, ve Ecir Küçüksille. 2022. “Perspectives on Computer Aided Drug Discovery”. Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi 11 (2): 405-26. https://doi.org/10.55007/dufed.1103457.
EndNote
Kırboğa KK, Küçüksille E (01 Aralık 2022) Perspectives on Computer Aided Drug Discovery. Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi 11 2 405–426.
IEEE
[1]K. K. Kırboğa ve E. Küçüksille, “Perspectives on Computer Aided Drug Discovery”, DÜFED, c. 11, sy 2, ss. 405–426, Ara. 2022, doi: 10.55007/dufed.1103457.
ISNAD
Kırboğa, Kevser Kübra - Küçüksille, Ecir. “Perspectives on Computer Aided Drug Discovery”. Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi 11/2 (01 Aralık 2022): 405-426. https://doi.org/10.55007/dufed.1103457.
JAMA
1.Kırboğa KK, Küçüksille E. Perspectives on Computer Aided Drug Discovery. DÜFED. 2022;11:405–426.
MLA
Kırboğa, Kevser Kübra, ve Ecir Küçüksille. “Perspectives on Computer Aided Drug Discovery”. Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 11, sy 2, Aralık 2022, ss. 405-26, doi:10.55007/dufed.1103457.
Vancouver
1.Kevser Kübra Kırboğa, Ecir Küçüksille. Perspectives on Computer Aided Drug Discovery. DÜFED. 01 Aralık 2022;11(2):405-26. doi:10.55007/dufed.1103457