Cargando…
Identification of CDK7 Inhibitors from Natural Sources Using Pharmacoinformatics and Molecular Dynamics Simulations
The cyclin-dependent kinase 7 (CDK7) plays a crucial role in regulating the cell cycle and RNA polymerase-based transcription. Overexpression of this kinase is linked with various cancers in humans due to its dual involvement in cell development. Furthermore, emerging evidence has revealed that inhi...
Autores principales: | Kumar, Vikas, Parate, Shraddha, Thakur, Gunjan, Lee, Gihwan, Ro, Hyeon-Su, Kim, Yongseong, Kim, Hong Ja, Kim, Myeong Ok, Lee, Keun Woo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468199/ https://www.ncbi.nlm.nih.gov/pubmed/34572383 http://dx.doi.org/10.3390/biomedicines9091197 |
Ejemplares similares
-
Identification of Activated Cdc42-Associated Kinase Inhibitors as Potential Anticancer Agents Using Pharmacoinformatic Approaches
por: Kumar, Vikas, et al.
Publicado: (2023) -
Investigating natural compounds against oncogenic RET tyrosine kinase using pharmacoinformatic approaches for cancer therapeutics
por: Parate, Shraddha, et al.
Publicado: (2022) -
Computational Simulations Highlight the IL2Rα Binding Potential of Polyphenol Stilbenes from Fenugreek
por: Kulkarni, Apoorva M., et al.
Publicado: (2022) -
Development of Machine Learning Models for Accurately Predicting and Ranking the Activity of Lead Molecules to Inhibit PRC2 Dependent Cancer
por: Danishuddin,, et al.
Publicado: (2021) -
Computational Simulations Identified Marine-Derived Natural Bioactive Compounds as Replication Inhibitors of SARS-CoV-2
por: Kumar, Vikas, et al.
Publicado: (2021)