Bioactive plantaricins as potent anti-cancer drug candidates: double docking, molecular dynamics simulation and in vitro cytotoxicity analysis.
Soumyadip ChakrobartySwarnava GaraiArabinda GhoshNobendu MukerjeeDeeplina DasPublished in: Journal of biomolecular structure & dynamics (2023)
The medical community is desperate for a reliable source of medications to alleviate the severity of conventional cancer treatments and prevent secondary microbial infections in oncological patients. In this regard, plantaricins from lactic acid bacteria were explored as prospective drug candidates against known anti-cancer drug targets. Three plantaricins, JLA-9, GZ1-27 and BN, have a binding affinity of -8.8, -8.6 and -7.2 kcal/mol, respectively, with squalene synthase (SQS), a key molecule in lung cancer metastasis. All three plantaricins displayed analogous binding patterns as SQS inhibitors and generated hydrogen and hydrophobic interactions with ARG 47, ARG 188, PHE24, LEU183 and PRO292. Structural stability of docked complexes was validated using molecular dynamics simulation derived parameters such as RMSD, RMSF and radius of gyration. Based on MD simulation results, conformational changes and stabilities of docked SQS/plantaricin complexes with respect to the time frame were evaluated using machine learning (logistic regression algorithm). Double docking with SQS/matrix metalloproteinase MMP1 and PCA analysis revealed the potential of plantaricin JLA-9 as a multi-substrate inhibitor. Further, plantaricin JLA-9 induced a significant cytotoxic response against the lung carcinoma cell line (A549) in a dose and time dependent manner with inhibition concentration (IC 50 ) of 0.082 µg/ml after 48 h. However, plantaricin JLA-9 did not induce cytotoxicity in normal lung cells (L-132), as the IC 50 value was not obtained even at a higher dose of 0.8 µg/ml. In silico pharmacokinetic (ADMET) profile implies that plantaricin JLA-9 could be developed as new age anti-cancer therapeutic with a preference for parenteral administration.
Keyphrases
- molecular dynamics simulations
- molecular docking
- end stage renal disease
- healthcare
- molecular dynamics
- lactic acid
- newly diagnosed
- drug induced
- induced apoptosis
- machine learning
- chronic kidney disease
- ejection fraction
- mental health
- microbial community
- peritoneal dialysis
- prostate cancer
- emergency department
- squamous cell carcinoma
- deep learning
- cell proliferation
- signaling pathway
- prognostic factors
- dna binding
- human health
- adverse drug
- binding protein
- cell death
- diabetic rats
- endoplasmic reticulum stress
- amino acid
- minimally invasive