scholarly journals Computer-Aided Design of Antimicrobial Peptides: Are We Generating Effective Drug Candidates?

2020 ◽  
Vol 10 ◽  
Author(s):  
Marlon H. Cardoso ◽  
Raquel Q. Orozco ◽  
Samilla B. Rezende ◽  
Gisele Rodrigues ◽  
Karen G. N. Oshiro ◽  
...  
2007 ◽  
Vol 14 (1) ◽  
pp. 110-114 ◽  
Author(s):  
HÅvard Jenssen ◽  
Christopher D. Fjell ◽  
Artem Cherkasov ◽  
Robert E. W. Hancock

2010 ◽  
Vol 6 (2) ◽  
pp. 66-75 ◽  
Author(s):  
Christopher D. Fjell ◽  
Robert E.W. Hancock ◽  
Havard Jenssen

Author(s):  
Estela Guardado Yordi ◽  
Lourdes Santana ◽  
Eugenio Uriarte ◽  
Fernanda Borges ◽  
Maria J. Matos

: Computer-aided design of new drugs is an exponentially growing field, especially in the last decade. The support of theoretical tools may accelerate the drug discovery process, which is a long and very expensive journey. Tools as QSAR and docking calculations are on the top of the list for helping medicinal chemists to find more potent and selective molecules as potential leads for facing challenging diseases. Coumarins have been an important source of inspiration for the design of new drugs. Due to their chemical properties and their affinity to some targets, special attention has been paid to their role against neurodegenerative diseases. Therefore, the authors provide an overview of the scientific reports describing the research and development of new drug design tools supporting the discovery of coumarins as enzymatic inhibitors or receptor ligands involved in these diseases. This review emphasizes the rationale behind the design of new drug candidates, and particular attention is paid to the search for new leads over the last 10 years. QSAR and docking studies are discussed, as well as new technologies applied for the research in this field. The manuscripts discussed in this review have been collected from multiple electronic databases, including Pubmed, SciFinder, and Mendeley.


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