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    Online Resource
    Online Resource
    Scalable Computing: Practice and Experience ; 2018
    In:  Scalable Computing: Practice and Experience Vol. 19, No. 2 ( 2018-05-10), p. 149-159
    In: Scalable Computing: Practice and Experience, Scalable Computing: Practice and Experience, Vol. 19, No. 2 ( 2018-05-10), p. 149-159
    Abstract: In the present study, a molecular dynamics study of irinotecan molecule with the atom-centered density matrix propagation scheme was carried out at AM1 semiempirical level of theory, at series of different temperatures, ranging from 5 K to 300 K. Molecular dynamics simulations were performed within the NVE ensemble, initially injecting (and redistributing among the nuclei) various amounts of nuclear kinetic energies to achieve the desired target temperatures. Subsequently to initial equilibration phase of 2 ps, productive simulations were carried out for 8 ps. The accuracy of simulations and the closeness of the generated trajectory to those at the Born-Oppenheimer surface were carefully followed and analyzed. To compute the temperature-dependent rovibrational density of states spectra, the velocity-velocity autocorrelation functions were computed and Fourier-transformed. Fourier-transformed dipole moment autocorrelation functions were, on the other hand, used to calculate the temperature-dependent infrared absorption cross section spectra. The finite-temperature spectra were compared to those computed by a static approach, i.e. by diagonalization of mass-weighted Hessian matrices at the minima located on the potential energy surfaces. Thermally-induced spectral changes were analyzed and discussed. The advantages of finite-temperature statistical physics simulations based on semiempirical Hamiltonian over the static semiempirical ones in the case of complex, physiologically active molecular systems relevant to intermolecular interactions between drugs and drug carriers were pointed out and discussed.
    Type of Medium: Online Resource
    ISSN: 1895-1767
    Language: Unknown
    Publisher: Scalable Computing: Practice and Experience
    Publication Date: 2018
    detail.hit.zdb_id: 2240223-8
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