Publications by authors named "Nivedita Deo"
The Beta-lactamase protein family is vital in countering Beta-lactam antibiotics, a widely used antimicrobial. To enhance our understanding of this family, we adopted a novel approach employing a multiplex network representation of its multiple sequence alignment. Each network layer, derived from the physiochemical properties of amino acids, unveils distinct insights into the intricate interactions among nodes, thereby enabling the identification of key motifs.
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- A novel method using random matrix theory (RMT) is developed to analyze the structural organization of protein families by leveraging the physiochemical properties of amino acids and multiple sequence alignments.
- The technique includes creating a graphical representation of protein sequences for efficient comparison of evolutionary distances, while employing a correlation matrix to reduce noise and filter information related to the properties of the protein sequences.
- The analysis reveals universal features similar to Gaussian orthogonal ensemble (GOE) in eigenvalue statistics for the β-lactamase family, identifying important short- and long-range correlations, which aids in recognizing structural motifs and pinpointing critical positions for enzymatic activity modulation.
Correlation and network analysis of global financial indices.
Phys Rev E Stat Nonlin Soft Matter Phys
August 2012
Random matrix theory (RMT) and network methods are applied to investigate the correlation and network properties of 20 financial indices. The results are compared before and during the financial crisis of 2008. In the RMT method, the components of eigenvectors corresponding to the second largest eigenvalue form two clusters of indices in the positive and negative directions.
View Article and Find Full Text PDFBackground: The efficacy and safety of a dietary supplement derived from South American botanicals was compared to glucosamine sulfate in osteoarthritis subjects in a Mumbai-based multi-center, randomized, double-blind study.
Methods: Subjects (n = 95) were screened and randomized to receive glucosamine sulfate (n = 47, 1500 mg/day) or reparagen (n = 48, 1800 mg/day), a polyherbal consisting of 300 mg of vincaria (Uncaria guianensis) and 1500 mg of RNI 249 (Lepidium meyenii) administered orally, twice daily. Primary efficacy variable was response rate based on a 20% improvement in WOMAC pain scores.