Bioactive phytoconstituents as potent inhibitors of casein kinase-2: dual implications in cancer and COVID-19 therapeutics.
Farah AnjumMd Nayab SulaimaniAlaa ShafieTaj MohammadGhulam Md AshrafAnwar L BilgramiFahad A AlhumaydhiSuliman A AlsagabyDharmendra Kumar YadavM D Imtaiyaz HassanPublished in: RSC advances (2022)
Casein kinase 2 (CK2) is a conserved serine/threonine-protein kinase involved in hematopoietic cell survival, cell cycle control, DNA repair, and other cellular processes. It plays a significant role in cancer progression and viral infection. CK2 is considered a potential drug target in cancers and COVID-19 therapy. In this study, we have performed a virtual screening of phytoconstituents from the IMPPAT database to identify some potential inhibitors of CK2. The initial filter was the physicochemical properties of the molecules following the Lipinski rule of five. Then binding affinity calculation, PAINS filter, ADMET, and PASS analyses followed by interaction analysis were carried out to discover nontoxic and better hits. Finally, two compounds, stylopine and dehydroevodiamines with appreciable affinity and specific interaction towards CK2, were identified. Their time-evolution analyses were carried out using all-atom molecular dynamics simulation, principal component analysis and free energy landscape. Altogether, we propose that stylopine and dehydroevodiamines can be further explored in in vitro and in vivo settings to develop anticancer and antiviral therapeutics.
Keyphrases
- protein kinase
- cell cycle
- dna repair
- molecular dynamics simulations
- coronavirus disease
- papillary thyroid
- sars cov
- molecular docking
- squamous cell
- small molecule
- cell proliferation
- dna damage
- childhood cancer
- bone marrow
- transcription factor
- human health
- dna damage response
- squamous cell carcinoma
- risk assessment
- molecular dynamics
- adverse drug
- stem cells
- oxidative stress
- mesenchymal stem cells
- respiratory syndrome coronavirus
- climate change
- young adults
- cell therapy
- single cell
- electronic health record
- data analysis