Literature DB >> 27848884

Understanding the Structural Basis for Inhibition of Cyclin-Dependent Kinases. New Pieces in the Molecular Puzzle.

Nayara M Bernhardt Levin1, Val Oliveira Pintro2, Mauricio Boff de Avila1,2, Bruna Boldrini de Mattos1, Walter Filgueira De Azevedo1,2.   

Abstract

BACKGROUND: Cyclin-dependent kinases (CDKs) comprise an important protein family for development of drugs, mostly aimed for use in treatment of cancer but there is also potential for development of drugs for neurodegenerative diseases and diabetes. Since the early 1990s, structural studies have been carried out on CDKs, in order to determine the structural basis for inhibition of this protein target.
OBJECTIVE: Our goal here is to review recent structural studies focused on CDKs. We concentrate on latest developments in the understanding of the structural basis for inhibition of CDKs, relating structures and ligand-binding information.
METHOD: Protein crystallography has been successfully applied to elucidate over 400 CDK structures. Most of these structures are complexed with inhibitors. We use this richness of structural information to describe the major structural features determining the inhibition of this enzyme.
RESULTS: Structures of CDK1, 2, 4-9, 12 13, and 16 have been elucidated. Analysis of these structures in complex with a wide range of different competitive inhibitors, strongly indicate some common features that can be used to guide the development of CDK inhibitors, such as a pattern of hydrogen bonding and the presence of halogen atoms in the ligand structure.
CONCLUSION: Nowadays we have structural information for hundreds of CDKs. Combining the structural and functional information we may say that a pattern of intermolecular hydrogen bonds is of pivotal importance for inhibitor specificity. In addition, machine learning techniques have shown improvements in predicting binding affinity for CDKs. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Entities:  

Keywords:  Cyclin-dependent kinase; binding affinity; drug design; inhibitors; machine learning; neurodegenerative disease

Mesh:

Substances:

Year:  2017        PMID: 27848884     DOI: 10.2174/1389450118666161116130155

Source DB:  PubMed          Journal:  Curr Drug Targets        ISSN: 1389-4501            Impact factor:   3.465


  6 in total

1.  In Silico Studies Targeting G-protein Coupled Receptors for Drug Research Against Parkinson's Disease.

Authors:  Agostinho Lemos; Rita Melo; Antonio Jose Preto; Jose Guilherme Almeida; Irina Sousa Moreira; Maria Natalia Dias Soeiro Cordeiro
Journal:  Curr Neuropharmacol       Date:  2018       Impact factor: 7.363

Review 2.  A brief review of protein-ligand interaction prediction.

Authors:  Lingling Zhao; Yan Zhu; Junjie Wang; Naifeng Wen; Chunyu Wang; Liang Cheng
Journal:  Comput Struct Biotechnol J       Date:  2022-06-03       Impact factor: 6.155

3.  Accumulated cytotoxicity of CDK inhibitor dinaciclib with first-line chemotherapy drugs in salivary adenoid cystic carcinoma cells.

Authors:  Laijun Xu; Lingzhi Li; Jun Zhang; Wenping Cai; Shouliang Zhao; Shangfeng Liu
Journal:  Odontology       Date:  2019-09-16       Impact factor: 2.634

4.  Serine/Threonine Protein Phosphatase 2A Regulates the Transport of Axonal Mitochondria.

Authors:  Keunjung Heo; Himanish Basu; Amos Gutnick; Wei Wei; Evgeny Shlevkov; Thomas L Schwarz
Journal:  Front Cell Neurosci       Date:  2022-03-18       Impact factor: 5.505

5.  Absolute binding free energy calculations improve enrichment of actives in virtual compound screening.

Authors:  Mudong Feng; Germano Heinzelmann; Michael K Gilson
Journal:  Sci Rep       Date:  2022-08-10       Impact factor: 4.996

6.  The anti-human cytomegalovirus drug tricin inhibits cyclin-dependent kinase 9.

Authors:  Hidetaka Sadanari; Kazuhiro J Fujimoto; Yuto Sugihara; Tomoki Ishida; Masaya Takemoto; Tohru Daikoku; Tsugiya Murayama
Journal:  FEBS Open Bio       Date:  2018-02-20       Impact factor: 2.693

  6 in total

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