Prevention of OprD regulated antibiotic resistance in Pseudomonas aeruginosa biofilm.

In P.aeruginosa biofilms, the issue of antibiotic resistance is of particular importance due to increasing number of infections being reported in medical implants. The current study is focused on CzcR and CopR proteins which are part of two-component signal transduction systems (TCSs) - CzcR-CzcS and CopR-CopS respectively in P.aeruginosa. They both negatively regulate OprD porin expression which affects the intake of antibiotics like carbapenems. These two proteins can be treated as targets to combat antibiotic resistance in P.aeruginosa. Docking was performed on these proteins in search of inhibitors against the CzcR-CzcS and CopR-CopS TCSs. Efficient inhibitory ligands were evaluated on the basis of least binding energy, human oral absorption and ADME properties using a four-tier structure based virtual screening. The resulting ligands displayed high effective inhibitory property and satisfactory pharmacokinetics as compared to inhibitors which have been identified before for two-component signal transduction systems for gram negative bacteria. These potential inhibitors can now be used further in wet lab by performing selectivity assays to determine their inhibition rate against P.aeruginosa biofilms. Identification of potential leads may enable the development of new therapeutic strategies aimed at disrupting P.aeruginosabiofilms.

Prevention of IcaA regulated poly N-acetyl glucosamine formation in Staphylococcus aureus biofilm through new-drug like inhibitors: In silico approach and MD simulation study.

OBJECTIVES: The effectiveness of various ligands against the protein structure of IcaA of the IcaABCD gene locus of Staphylococcus aureus were examined using the approach of structure based drug designing in reference with the protein's efficiency to form biofilms. RESULTS: Four compounds CID42738592, CID90468752, CID24277882, and CID6435208 were secluded from a database of 31,242 inhibitory ligands on the justification of the evaluated values falling under the four - tier structure based virtual screening. Under this principle value of least binding energy, human oral absorption and ADME properties were taken into consideration. Using the Glide module of Schrödinger, the above mentioned ligands showed an effective action against the protein IcaA which showed reduced activity as a glucosaminyl transferase. The complex of protein and ligand with best docking score was chosen for simulation studies. CONCLUSIONS: Structure based drug designing for the protein IcaA has given us potential leads as anti - biofilm agents. These screened out ligands might enable the development of new therapeutic strategies aimed at disrupting Staphylococcus aureus biofilms. The complex was showing stability towards the end of time for which it has been put for simulation. Thus molecule could be considered for making of biofilms.

Identification of Inhibitors against Metastasis Protein "Survivin:" In silico Discovery Using Virtual Screening and Molecular Docking Studies.

BACKGROUND: In experimental therapy of cancer, survivin is considered to be one of the well-established targets. Studies have found that it is overexpression in most of the human tumors, but it is rarely found in normal tissues. It is having varied structural and functional role. It controls cell division and cellular stress response and also regulates metastasis and migration of cancerous cells. It has also been recognized as a biomarker which makes it unconventional drug target. In spite of being one of the centrally active components in metastasis and invasion, their clinical use is minimal. To increase the therapeutic efficiency of cancer and its various stages, it is important to survey novel reagents targeting the pathways and mechanism involving survivin. OBJECTIVE: The aim of this study was to identify novel survivin inhibitor candidates using in silico screening. MATERIALS AND METHODS: In this course of work, virtual screening on a dataset of natural compounds retrieved from ZINC and other libraries were performed. Comparative analysis of the protein was done by studying the binding affinity of inhibitors that are already available. The best interacting complex was set for molecular dynamics simulation for 25 ns to validate the stability of system. These molecules were checked for their toxicity and absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties using OSIRIS and pre-ADMET tools. RESULTS: We discovered ten such candidates with better binding efficiency with survivin in comparison to marketed chemical against the same. Furthermore, these inhibitor candidates did not induce cell toxicity. Binding affinity of reference molecules was varied from -6.8 to -8.5 kcal/mol while that of top scoring compound ZINC00689728 is -9.3 kcal/mol binding energy. Good placement and strong bond formation of selected molecule was observed during course of work. It is also having permissible ADMET property. CONCLUSION: Considering all the parameters, the screened molecule can be considered as a potential lead compound for designing new drug against survivin. Further investigation and testing will be required to make it to the final stage. SUMMARY: Survivin is one of the important protein of metastasis. Inhibiting survivin might led to the increased therapeutic efficiency of cancer. In this work we are screening library of natural compounds in view of finding some potent inhibitor against survivin. Abbreviations used: MD: Molecular dynamics, LogS: Aqueous solubility, Acceptor HB: Hydrogen bond acceptor, Donor HB: Donor hydrogen bond donor, ADMET: Absorption, distribution, metabolism, excretion, and toxicity, RCSB: Research Collaboratory for Structural Bioinformatics, OPLS: Optimized potentials for liquid simulations, RMSD: Root-mean-square deviation.