KinomeRun: An interactive utility for kinome target screening and interaction fingerprint analysis towards holistic visualization on kinome tree

GC/MS characterization and computational kinome-wide screening of pomegranate fruit extract identifies key phytochemicals interacting to CDK kinases implicated in acute myeloid leukemia cells

Punica granatum (Pomegranate fruit) and its constituents are proven effective against various cancer types. However, a kinome-wide screening for the active phytochemicals against kinases is not reported. This study aims in validating pomegranate fruit extract (PFE) against acute myeloid leukemia (AML) cells, and computationally identifying the phytochemicals interacting with active kinases. PFE was made with Soxhlet extractor using absolute ethanol. Gas-chromatography-mass spectroscopy (GC-MS) for phytochemical identification and MTT assay for cytotoxicity in AML (THP-1, TF-1 and HL-60) cells were performed. Apoptosis, CDK5 and CDK8 were assessed with flow cytometry. Kinase profiling was performed using In silico kinome screening. GC-MS analysis revealed 38 bioactive phytochemicals in PFE including pyrazoles, aldehydes, phenols, esters, pyranosides, and octadecadienoic acids. The extract inhibited the AML cell proliferations with GI₅₀ values of 195.5 μg/ml, 289.1 μg/ml, and 353.5 μg/ml in THP-1, THP-1, and HL-60 cells, respectively. PFE also exhibited a dose-responsive increase in apoptotic cell populations when treated to the AML cells. Computational screening and modeling predicted three critical constituents, viz., Deoxyartemisinin, 3-Methyl-3-phenyl-3H-indazole, and 8-fluoro-5,6-dimethoxy-3,4-dihydro-2H-naphthalen-1-one of pomegranate extract to interact mainly with cyclin-dependent kinases, including CDK5 and CDK8. Proteinand ligand docking predicted binding energies, and binding pose for top candidate lead molecules. In vitro assay exhibited the anticancer properties of PFE in AML cells. Computational kinome screening predicted top three PFE constituents targeting CDKs which may be responsible for the demonstrated anticancer efficacy of the extract against AML. This hypothesis further aligned with observed efficacy of PFE to inhibit CDK5 and CDK8 in all AML cells tested. PRACTICAL APPLICATIONS: Though Punica granatum (Pomegranate fruit) and its constituents are proven effective against various cancer types, a kinome-wide screening for the active phytochemicals against kinases is not reported. In this study, we have conducted GC/MS characterization of the active phytochemicals of PFE and have performed a kinome-wide screening for all the 38 identified compounds toward 310 active kinases commonly expressed in cancers. These observations warrant isolation and further evaluation of these phytochemicals or their analogues as effective CDK inhibitors against AML proliferation. Further, the computational methods used in this study will throw light on literature for new options of kinome panel screening of active phytochemicals or small molecules.

Structure-based design of small molecule and peptide inhibitors for selective targeting of ROCK1: an integrative computational approach

Rho-associated, coiled-coil-containing protein kinase (ROCK1) regulates cell contraction, morphology, and motility by phosphorylating its downstream targets. ROCK1 is a proven target for many pathological conditions like cancer, atherosclerosis, glaucoma, neuro-degeneration, etc. Though many kinase inhibitors are available, there is a dearth of studies on repurposing approved drugs and novel peptide inhibitors that could potentially target ROCK1. Hence, in this study, an extensive integration of open-source pipelines was employed to probe the potential inhibitors (ligand/peptide) for targeting ROCK1. To start with, a systematic enrichment analysis was performed to delineate the most optimal ROCK1 crystal structure that can be harnessed for drug design. A comparative analysis of conformational flexibility between monomeric and dimeric forms was also performed to prioritize the optimal assembly for structural studies. Subsequently, Virtual screening of FDA-approved drugs in Drugbank was performed using POAP pipeline. Further, the top hits were probed for binding affinity, crucial interaction fingerprints, and complex stability during MD simulation. In parallel, a combinatorial tetrapeptide library was also virtually screened against ROCK1 using the PepVis pipeline. Following which, all these shortlisted inhibitors (compounds/peptides) were subjected to Kinomerun analysis to infer other potential kinase targets. Finally, Polydatin and conivaptan were prioritized as the most potential repurposable inhibitors, and WWWF, WWVW as potential inhibitory peptides for targeting ROCK1. The prioritized inhibitors are highly promising for use in therapeutics, as these are resultants of the multilevel stringent filtration process. The computational strategies implemented in this study could potentially serve as a scaffold towards selective inhibitor design for other kinases.Communicated by Ramaswamy H. Sarma.