2022
Virtual screening of potential anticancer drugs based on microbial products
RANGEL PAMPLONA PIZARRO PINTO, José Gaspar, Natalie M. HENDRIKSE, Jan ŠTOURAČ, Jiří DAMBORSKÝ, David BEDNÁŘ et. al.Základní údaje
Originální název
Virtual screening of potential anticancer drugs based on microbial products
Autoři
RANGEL PAMPLONA PIZARRO PINTO, José Gaspar (76 Brazílie, domácí), Natalie M. HENDRIKSE, Jan ŠTOURAČ (203 Česká republika, domácí), Jiří DAMBORSKÝ (203 Česká republika, garant, domácí) a David BEDNÁŘ (203 Česká republika, domácí)
Vydání
Seminars in Cancer Biology, London, Academic Press Ltd.-Elsevier Science Ltd. 2022, 1044-579X
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30204 Oncology
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 14.500
Kód RIV
RIV/00216224:14310/22:00127621
Organizační jednotka
Přírodovědecká fakulta
UT WoS
000882850000005
Klíčová slova anglicky
Databases; Microbial products; Virtual screening; Web tools; PredictSNP Onco
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 9. 3. 2023 19:58, Mgr. Michaela Hylsová, Ph.D.
Anotace
V originále
The development of microbial products for cancer treatment has been in the spotlight in recent years. In order to accelerate the lengthy and expensive drug development process, in silico screening tools are systematically employed, especially during the initial discovery phase. Moreover, considering the steadily increasing number of molecules approved by authorities for commercial use, there is a demand for faster methods to repurpose such drugs. Here we present a review on virtual screening web tools, such as publicly available databases of molecular targets and libraries of ligands, with the aim to facilitate the discovery of potential anticancer drugs based on microbial products. We provide an entry-level step-by-step description of the workflow for virtual screening of microbial metabolites with known protein targets, as well as two practical examples using freely available web tools. The first case presents a virtual screening study of drugs developed from microbial products using Caver Web, a web tool that performs docking along a tunnel. The second case comprises a comparative analysis between a wild type isocitrate dehydrogenase 1 and a mutant that results in cancer, using the recently developed web tool PredictSNPOnco. In summary, this review provides the basic and essential background information necessary for virtual screening experiments, which may accelerate the discovery of novel anticancer drugs.
Návaznosti
EF17_043/0009632, projekt VaV |
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LM2015047, projekt VaV |
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LM2018121, projekt VaV |
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LM2018140, projekt VaV |
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TN01000013, projekt VaV |
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857560, interní kód MU (Kód CEP: EF17_043/0009632) |
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