3 research outputs found
Whether CEO Succession Via Hierarchical Jumps is Detrimental or Blessing in Disguise? Evidence from Chinese Listed Firms
No full textThis study investigates the impact of hierarchical jumps in the CEO’s succession on firms’ financial performance. To contemplate deeply, hierarchical jumps have been categorized into high and low level evaluating the positive impact of high-level hierarchical jump on firms’ performance. Moreover, this study has also formulated hierarchical intensity signifying the idea that despite neglecting senior board members during hierarchical jumps, still marginal increment in the firms’ growth has been observed. Using panel regression technique along with 2sls instrumental regression, this research reveals that hierarchical jumps in CEOs successions are more conducive only if the incumbent CEOs are selected irrespective of age, degree or high hierarchical position within the hierarchical ladder. Lastly, this study enunciates that firms having high total assets boost their performance via hierarchical jumps emphatically
Exploiting the co-crystal ligands shape, features and structure-based approaches for identification of SARS-CoV-2 Mpro inhibitors
No full textSARS-CoV-2 enters the host cell through the ACE2 receptor and replicates its genome using an RNA-Dependent RNA Polymerase (RDRP). The functional RDRP is released from pro-protein pp1ab by the proteolytic activity of Main protease (Mpro) which is encoded within the viral genome. Due to its vital role in proteolysis of viral polyprotein chains, it has become an attractive potential drug target. We employed a hierarchical virtual screening approach to identify small synthetic protease inhibitors. Statistically optimized molecular shape and color-based features (various functional groups) from co-crystal ligands were used to screen different databases through various scoring schemes. Then, the electrostatic complementarity of screened compounds was matched with the most active molecule to further reduce the hit molecules’ size. Finally, five hundred eighty-seven molecules were docked in Mpro catalytic binding site, out of which 29 common best hits were selected based on Glide and FRED scores. Five best-fitting compounds in complex with Mpro were subjected to MD simulations to analyze their structural stability and binding affinities with Mpro using MM/GB(PB)SA models. Modeling results suggest that identified hits can act as the lead compounds for designing better active Mpro inhibitors to enhance the chemical space to combat COVID-19. Communicated by Ramaswamy H. Sarma</p
