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Panda, G.

Publications and source records attributed to Panda, G..

2 recordsLinked to original sources

Comparative Structural and Dynamics Study of Free and gRNA-bound FnCas9 and SpCas9 Proteins

The introduction of CRISPR/Cas9 based gene editing has greatly accelerated therapeutic genome editing. However, the off-target DNA cleavage by CRISPR/Cas9 protein hampers its clinical translation, thereby hindering its widespread use as a programmable genome editing tool. Although Cas9 variants with better mismatch discrimination have been developed, they have significantly lower rates of on-target DNA cleavage. Here, we have compared the dynamics of a more specific naturally occurring Cas9 from Francisella novicida (FnCas9) to the most widely used, SpCas9 protein. Long-scale atomistic MD simulations of free and gRNA-bound forms of both the Cas9 proteins were performed, and their domain rearrangements and binding affinity with gRNA were compared to decipher the possible reason behind the enhanced specificity of FnCas9 protein. The greater binding affinity with gRNA, high domain electrostatics, and more volatility of FnCas9 than SpCas9 may explain its increased specificity and lower tolerance for mismatches. HighlightsO_LIThe gRNA binding led to the opening of the structure of Cas9 endonuclease and exposure of hydrophobic residues to accommodate it. C_LIO_LIConcerted domain movement was observed in both SpCas9 (HNH-REC2 domains, CTD-Topo domains, and REC3-RuvC) and FnCas9 (HNH-REC3-REC1 and PI-WED-RuvC). C_LIO_LIBoth Cas9s have shown a decrease in percentage helicity and an increase in the percentage of structurally dynamic residues (more secondary structural transitions) post gRNA binding. C_LIO_LIIn the gRNA-bound form of FnCas9, the PAM-interacting domain was found to have a larger structural transition and increased coil%. C_LIO_LIElectrostatic interactions have a major contribution to the high binding affinity of FnCas9 with gRNA. C_LIO_LIArginine-helix has shown a pivotal role in the binding of gRNA in FnCas9 protein. C_LI

biophysics↗

Comprehensive assessment of Indian variations in the druggable kinome landscape highlights distinct insights at the sequence, structure and pharmacogenomic stratum

India confines more than 17% of the worlds population and has a diverse genetic makeup with several clinically relevant rare mutations belonging to many sub-group which are undervalued in global sequencing datasets like the 1000 Genome data (1KG) containing limited samples for Indian ethnicity. Such databases are critical for the pharmaceutical and drug development industry where the diversity plays a crucial role in identifying genetic disposition towards adverse drug reactions. A qualitative and comparative sequence and structural study utilizing variant information present in the recently published, largest curated Indian genome database (IndiGen) and the 1000 Genome data was performed for variants belonging to the kinase coding genes,the second most targeted group of drug targets. The sequence level analysis identified similarities and differences among different populations based on the nsSNVs and amino acid exchange frequencies whereas comparative structural analysis of IndiGen variants was performed with pathogenic variants reported in UniProtKB Humsavar data. The influence of these variations on structural features of the protein, such as structural stability, solvent accessibility, hydrophobicity, and the hydrogen-bond network were investigated. In-silico screening of the known drugs to these Indian variation-containing proteins reveal critical differences imparted in the strength of binding due to the variations present in the Indian population. In conclusion, this study constitutes a comprehensive investigation into the understanding of common variations present in the second largest population in the world, and investigating its implications in the sequence, structural and pharmacogenomic landscape. The preliminary investigation reported in this paper, supporting the screening and detection of ADRs specific to the Indian population could aid in the development of techniques for pre-clinical and post-market screening of drug-related adverse events in the Indian population.

genomics↗