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Pandit, S. B.

Publications and source records attributed to Pandit, S. B..

3 recordsLinked to original sources

Deciphering binding site conformational variability of substrate promiscuous and specialist enzymes

Substrate promiscuity is the ability of enzymes to catalyze reactions with alternate substrate(s) beyond their physiologically relevant ones. Such promiscuous activities expand enzymes functional landscape, enabling evolution or designing novel biochemical reactions. The molecular basis of substrate promiscuity remains elusive, though previous studies have suggested roles of active site structural features, such as flexibility, hydrophobicity, sub-sites, and electrostatics. Moreover, a recent hypothesis proposes the role of active site conformational variability in promiscuity. Accordingly, promiscuous enzymes could accommodate alternate substrate(s) through their pre-existing conformations, whereas specialists have a dominant conformation for their native substrates. To explore the role of active site conformational flexibility in substrate promiscuity, we compared the conformational states of two substrate promiscuous and specialist enzymes by analyzing their binding site structural dynamics from long-time explicit solvent molecular dynamics. Using tICA, we generated conformational states from simulations of the holo-conformation of enzymes. In addition to visual analysis of the variability of binding site conformation states, we performed quantitative estimation of the same using the native functionality score, which measures the contact similarity of conformations to the native structure. We observed that both specialist and generalist enzymes exhibited varied numbers of substrate binding site competent states, indicating that conformational flexibility to accept alternate substrates could exist in both groups of enzymes. Further, it caters to the view of substrate promiscuity as a continuum feature of enzymes.

bioinformatics↗

Exon Nomenclature and Classification of Transcripts (ENACT): Systematic framework to annotate exon attributes

AbstractO_ST_ABSMotivationC_ST_ABSIsoform diversity is known to enhance a genes functional repertoire. Despite studies on transcriptome diversifying processes (Alternate splicing/transcription), their extent and correlated impact on proteome diversity remains rudimentarily understood. ResultsThe current study presents an innovative framework, "Exon Nomenclature and Annotation of Transcripts," that centralizes exonic loci while integrating protein sequence per entity with tracking and assessing splice site variability. The resulting annotation from framework enables exon features to be tractable, facilitating a systematic analysis of isoform diversity. Our findings and case studies unveil systemic exon inclusions roles in regulating diversity in CDS region. Availability and implementationAll data generated during this study are publicly available at www.iscbglab.in/enactdb/. Associated algorithmic procedures have been described in the methods section. Supplementary informationPDF file enclosing supplementary data attached.

bioinformatics↗

Uncovering the translatome impact of transcriptome induced diversity in eukaryotes: framework and innovative insights

Isoform diversity is known to enhance a genes functional repertoire. Insights into the extent of such sequence variability generated through alternative splicing (AS), may unveil the layers of gene function/regulation. Despite studies on transcriptome diversifying processes, the impact of AS or related processes on sequence diversity still needs to be explored. Current study presents an innovative framework that centralizes exonic loci while integrating protein sequence per entity with attention to splice site variability assessment. The resulting framework enables exon (features) to be tractable, facilitating a systematic, detailed analysis of isoform diversity. We analyzed isoform diversity in five representative organisms and detailed the role of AS and related processes influencing exon inclusion in imparting sequence variation for human genome. Through analyses of exonic variations in two maximally diverged isoforms of human genes, we unraveled intricate splicing patterns prevalent in coding and non-coding regions. We observed that alternative splice sites, sequence changes, and skipping of exons are prevalent in coding exons, while the alternate first exon events are predominant in non-coding exons. Our findings offer a comprehensive understanding of isoform diversity as a function of exonic entity framework, providing valuable insights into the orchestration of exonic events in shaping the proteogenomic landscape.

bioinformatics↗