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Protein-Protein Interaction for the De Novo Design of Cyclin-Dependent Kinase Peptide Inhibitors.
Arumugasamy, Karthiga; Tripathi, Sunil Kumar; Singh, Poonam; Singh, Sanjeev Kumar.
Affiliation
  • Arumugasamy K; Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Science Block, 4th Floor, Karaikudi, 630003, Tamil Nadu, India.
Methods Mol Biol ; 1336: 59-66, 2016.
Article in En | MEDLINE | ID: mdl-26231708
ABSTRACT
The homology of the inhibitor binding site regions on the surface of cyclin-dependent kinases (CDKs) makes actual CDK inhibitors unable to bind specifically to their molecular targets. Most of them are ATP competitive inhibitors with low specificity that also affect the phosphorylation mechanisms of other nontarget kinases giving rise to harmful side effects. So, the search of specific and potent inhibitors able to bind to the desired CDK target is still a pending issue. Structure based drug design minimized the erroneous binding and increased the affinity of the inhibitor interaction. In the case of CDKs their activation and regulation mechanisms mainly depend on protein-protein interactions (PPIs). The design of drugs targeting these PPIs makes feasible and promising towards the discovery of new and specific CDK inhibitors. Development of peptide inhibitors for a target protein is an emerging approach in computer aided drug designing. This chapter describes in detail methodology for use of the VitAL-Viterbi algorithm for de novo peptide design of CDK2 inhibitors.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cyclin-Dependent Kinases / Protein Interaction Mapping Type of study: Risk_factors_studies Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2016 Document type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cyclin-Dependent Kinases / Protein Interaction Mapping Type of study: Risk_factors_studies Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2016 Document type: Article Affiliation country: India