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Current Drug Targets

Editor-in-Chief

ISSN (Print): 1389-4501
ISSN (Online): 1873-5592

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Editorial

Protein-Ligand Interactions: High-Resolution Structures of CDK2

Author(s): Walter Filgueira de Azevedo*

Volume 23, Issue 5, 2022

Published on: 14 January, 2022

Page: [438 - 440] Pages: 3

DOI: 10.2174/1389450122666211214113205

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Levin NMB, Pintro VO, de Avila MB, de Mattos BB, De Azevedo WF Jr. Understanding the structural basis for inhibition of cyclin-dependent kinases. new pieces in the molecular puzzle. Curr Drug Targets 2017; 18(9): 1104-11.
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Volkart PA, Bitencourt-Ferreira G, Souto AA, de Azevedo WF. Cyclin-dependent kinase 2 in cellular senescence and cancer. A structural and functional review. Curr Drug Targets 2019; 20(7): 716-26.
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Veit-Acosta M, de Azevedo Junior WF. The impact of crystallographic data for the development of machine learning models to predict protein-ligand binding affinity. Curr Med Chem 2021; 28(34): 7002-6.
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de Ávila MB, Xavier MM, Pintro VO, de Azevedo WF Jr. Supervised machine learning techniques to predict binding affinity. A study for cyclin-dependent kinase 2. Biochem Biophys Res Commun 2017; 494(1-2): 305-10.
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Levin NMB, Pintro VO, Bitencourt-Ferreira G, de Mattos BB, de Castro Silvério A, de Azevedo WF Jr. Development of CDK-targeted scoring functions for prediction of binding affinity. Biophys Chem 2018; 235: 1-8.
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Bitencourt-Ferreira G, Duarte da Silva A, Filgueira de Azevedo W Jr. Application of machine learning techniques to predict binding affinity for drug targets: a study of cyclin-dependent kinase 2. Curr Med Chem 2021; 28(2): 253-65.
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Veit-Acosta M, de Azevedo Junior WF. Computational prediction of binding affinity for cdk2-ligand complexes. a protein target for cancer drug discovery. Curr Med Chem 2021.
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