A cascade screening approach for the identification of Bcr-Abl myristate pocket binders active against wild type and T315I mutant

Radi, Marco; Schneider, R.; Fallacara, Anna Lucia; Botta, Lorenzo; Crespan, Emmanuele; Tintori, Cristina; Maga, Giovanni; Kiššová, Miroslava; Calgani, Alessia; Richters, André; Musumeci, Francesca; Rauh, Daniel; Schenone, Silvia

doi:10.1016/j.bmcl.2016.06.051

“…Frontiers in Pharmacology frontiersin.org validate their results (42.02%) (Jordheim et al, 2013;Lafleur et al, 2013;Schonbrunn et al, 2013;Tabchy et al, 2013;Brewer et al, 2014;Kanematsu et al, 2014;Stachnik et al, 2014;Takeuchi et al, 2014;Calvete et al, 2015;De La Cruz-Hernandez et al, 2015;Fako et al, 2015;Istyastono et al, 2015;Liao et al, 2015;McNeil et al, 2015;Rameseder et al, 2015;Riddick et al, 2015;Segura-Cabrera et al, 2015;Zalloum et al, 2015;Zeino et al, 2015;Zhong et al, 2015;Chong et al, 2016;Hengel et al, 2016;Lara-Castillo et al, 2016;Montes-Grajales et al, 2016;Radi et al, 2016;Rocca et al, 2016;Wilson et al, 2016;Chen et al, 2017;Di Lello et al, 2017;Digiacomo et al, 2017;Jaeger et al, 2017;Jernigan et al, 2017;Klingenberg et al, 2017;Kolosenko et al, 2017;Mould et al, 2017;Ozsvari et al, 2017;Platonova et al, 2017;Prabhu et al, 2017;Salim et al, 2017;Vilaboa et al, 2017;…”

Section: Results Of Individual Sources Of Evidence and Data Synthesisunclassified

In silico approaches for drug repurposing in oncology: a scoping review

Cavalcante,

Freitas,

Siquara da Rocha

et al. 2024

Front. Pharmacol.

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Introduction: Cancer refers to a group of diseases characterized by the uncontrolled growth and spread of abnormal cells in the body. Due to its complexity, it has been hard to find an ideal medicine to treat all cancer types, although there is an urgent need for it. However, the cost of developing a new drug is high and time-consuming. In this sense, drug repurposing (DR) can hasten drug discovery by giving existing drugs new disease indications. Many computational methods have been applied to achieve DR, but just a few have succeeded. Therefore, this review aims to show in silico DR approaches and the gap between these strategies and their ultimate application in oncology.Methods: The scoping review was conducted according to the Arksey and O’Malley framework and the Joanna Briggs Institute recommendations. Relevant studies were identified through electronic searching of PubMed/MEDLINE, Embase, Scopus, and Web of Science databases, as well as the grey literature. We included peer-reviewed research articles involving in silico strategies applied to drug repurposing in oncology, published between 1 January 2003, and 31 December 2021.Results: We identified 238 studies for inclusion in the review. Most studies revealed that the United States, India, China, South Korea, and Italy are top publishers. Regarding cancer types, breast cancer, lymphomas and leukemias, lung, colorectal, and prostate cancer are the top investigated. Additionally, most studies solely used computational methods, and just a few assessed more complex scientific models. Lastly, molecular modeling, which includes molecular docking and molecular dynamics simulations, was the most frequently used method, followed by signature-, Machine Learning-, and network-based strategies.Discussion: DR is a trending opportunity but still demands extensive testing to ensure its safety and efficacy for the new indications. Finally, implementing DR can be challenging due to various factors, including lack of quality data, patient populations, cost, intellectual property issues, market considerations, and regulatory requirements. Despite all the hurdles, DR remains an exciting strategy for identifying new treatments for numerous diseases, including cancer types, and giving patients faster access to new medications.

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“…Frontiers in Pharmacology frontiersin.org validate their results (42.02%) (Jordheim et al, 2013;Lafleur et al, 2013;Schonbrunn et al, 2013;Tabchy et al, 2013;Brewer et al, 2014;Kanematsu et al, 2014;Stachnik et al, 2014;Takeuchi et al, 2014;Calvete et al, 2015;De La Cruz-Hernandez et al, 2015;Fako et al, 2015;Istyastono et al, 2015;Liao et al, 2015;McNeil et al, 2015;Rameseder et al, 2015;Riddick et al, 2015;Segura-Cabrera et al, 2015;Zalloum et al, 2015;Zeino et al, 2015;Zhong et al, 2015;Chong et al, 2016;Hengel et al, 2016;Lara-Castillo et al, 2016;Montes-Grajales et al, 2016;Radi et al, 2016;Rocca et al, 2016;Wilson et al, 2016;Chen et al, 2017;Di Lello et al, 2017;Digiacomo et al, 2017;Jaeger et al, 2017;Jernigan et al, 2017;Klingenberg et al, 2017;Kolosenko et al, 2017;Mould et al, 2017;Ozsvari et al, 2017;Platonova et al, 2017;Prabhu et al, 2017;Salim et al, 2017;Vilaboa et al, 2017;…”

Section: Results Of Individual Sources Of Evidence and Data Synthesisunclassified

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“…Frontiers in Pharmacology frontiersin.org validate their results (42.02%) (Jordheim et al, 2013;Lafleur et al, 2013;Schonbrunn et al, 2013;Tabchy et al, 2013;Brewer et al, 2014;Kanematsu et al, 2014;Stachnik et al, 2014;Takeuchi et al, 2014;Calvete et al, 2015;De La Cruz-Hernandez et al, 2015;Fako et al, 2015;Istyastono et al, 2015;Liao et al, 2015;McNeil et al, 2015;Rameseder et al, 2015;Riddick et al, 2015;Segura-Cabrera et al, 2015;Zalloum et al, 2015;Zeino et al, 2015;Zhong et al, 2015;Chong et al, 2016;Hengel et al, 2016;Lara-Castillo et al, 2016;Montes-Grajales et al, 2016;Radi et al, 2016;Rocca et al, 2016;Wilson et al, 2016;Chen et al, 2017;Di Lello et al, 2017;Digiacomo et al, 2017;Jaeger et al, 2017;Jernigan et al, 2017;Klingenberg et al, 2017;Kolosenko et al, 2017;Mould et al, 2017;Ozsvari et al, 2017;Platonova et al, 2017;Prabhu et al, 2017;Salim et al, 2017;Vilaboa et al, 2017;…”

Section: Results Of Individual Sources Of Evidence and Data Synthesisunclassified

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A cascade screening approach for the identification of Bcr-Abl myristate pocket binders active against wild type and T315I mutant

Cited by 6 publications

References 23 publications

In silico approaches for drug repurposing in oncology: a scoping review

In silico approaches for drug repurposing in oncology: a scoping review

DataSheet2.PDF

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