Publications by authors named "S Kanagaraj"

Bovine serum albumin (BSA) plays a crucial role as a carrier protein in plasma, binding various ligands, including drugs. Understanding the interaction between BSA and saquinavir, an antiretroviral drug, is essential for predicting its pharmacokinetics and pharmacodynamics. We employed spectroscopic approaches, including circular dichroism spectrometry and fluorescence spectroscopy, to investigate the binding of saquinavir to BSA.

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To illustrate the occurrences of extreme events in the neural system we consider a pair of Chialvo neuron maps. Importantly, we explore the dynamics of the proposed system by including a flux term between the neurons. Primarily, the dynamical behaviors of the coupled Chialvo neurons are examined using the Lyapunov spectrum and bifurcation analysis.

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This study aims to investigate the comparative binding pattern of TTHA1873 and its mutants (R55A and R138A) with DNA through molecular docking and molecular dynamics (MD) simulations. The docking results suggests that the Wild type (WT-TTHA1873), R55A, R138A and double mutant R55A/R138A having docking scores of -225.80 kcal/mol, -209.

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In this study, the hybrid conductance-based adaptive exponential integrate and fire (CadEx) neuron model is proposed to determine the effect of magnetic flux on conductance-based neurons. To begin with, bifurcation analysis is carried out in relation to the input current, resetting parameter, and adaptation time constant in order to comprehend dynamical transitions. We exemplify that the existence of period-1, period-2, and period-4 cycles depends on the magnitude of input current via period doubling and period halving bifurcations.

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Article Synopsis
  • * A study with 56 participants (28 healthy, 28 with KOA) used machine learning models to analyze data from pedobarography (foot pressure) and movement patterns, achieving an impressive accuracy of 89.3% in identifying KOA.
  • * Additionally, surface electromyography (sEMG) data helped differentiate between healthy individuals and KOA subjects through clustering analysis, indicating the effectiveness of using indirect measures for KOA detection.
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