Solvated potential energy surfaces for MePC

被引:1
|
作者
Soares, Cinthia S. [1 ]
da Silva, Clarissa O. [1 ]
机构
[1] Univ Fed Rural Rio de Janeiro, Dept Quim, BR-24949900 Rio De Janeiro, Brazil
关键词
Membrane phospholipid; Phospholipid; Methylphosphocholine; Conformational sampling in an aqueous solution; Methylphosphocholine conformers; INFRARED SPECTROSCOPIC EVIDENCE; HYDRATION; WATER; CONTINUUM; PHASE; DFT;
D O I
10.1007/s11224-011-9775-2
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A conformational study of methylphosphocholine (MePC) was performed from a conformational map calculated considering the dihedral angles that most affected the energy of the system. This conformational map was obtained from interpolations of energy values found from calculations that took into account the presence of solvent through a dielectric continuum approach. We used a quantum-mechanical method based on the Density Functional Theory (DFT) and the 6-31G(d,p) basis set. Conformational samplings were performed in stability regions and the most stable conformers were identified. Comparisons of samplings in solvated and non-solvated conformational maps were performed, and although very different from each other, they furnish equivalent final conformational sets. Both the sets reproduced satisfactorily the experimental shift observed for the vibrational modes of -[P(O-2)](-)- and -CH2- methylene groups of MePC when the system was solvated.
引用
收藏
页码:885 / 891
页数:7
相关论文
共 50 条
  • [1] Solvated potential energy surfaces for MePC
    Cinthia S. Soares
    Clarissa O. da Silva
    Structural Chemistry, 2011, 22 : 885 - 891
  • [2] Entropy of Molecular Binding at Solvated Mineral Surfaces
    Freeman, Cohn L.
    Harding, John H.
    JOURNAL OF PHYSICAL CHEMISTRY C, 2014, 118 (03): : 1506 - 1514
  • [3] Torsional Potential Energy Surfaces of Dinitrobenzene Isomers
    Smith, Paul M.
    Borunda, Mario F.
    ADVANCES IN CONDENSED MATTER PHYSICS, 2017, 2017
  • [4] Ab Initio Determined Phase Diagram of Clean and Solvated Muscovite Mica Surfaces
    Vatti, Anoop Kishore
    Todorova, Mira
    Neugebauer, Joerg
    LANGMUIR, 2016, 32 (04) : 1027 - 1033
  • [5] De novo exploration and self-guided learning of potential-energy surfaces
    Bernstein, Noam
    Csanyi, Gabor
    Deringer, Volker L.
    NPJ COMPUTATIONAL MATERIALS, 2019, 5 (1)
  • [6] Algorithmic Design of Geometric Data for Molecular Potential Energy Surfaces
    Cruz, Ahyssa R.
    Ermler, Walter C.
    ALGORITHMS, 2023, 16 (01)
  • [7] Potential energy surfaces of antiparallel water-water interactions
    Milovanovic, Milan R.
    Zivkovic, Jelena M.
    Ninkovic, Dragan B.
    Zaric, Snezana D.
    JOURNAL OF MOLECULAR LIQUIDS, 2023, 389
  • [8] Employing neural density functionals to generate potential energy surfaces
    B Jijila
    V. Nirmala
    P. Selvarengan
    D. Kavitha
    V Arun Muthuraj
    A. Rajagopal
    Journal of Molecular Modeling, 2024, 30
  • [9] Employing neural density functionals to generate potential energy surfaces
    Jijila, B.
    Nirmala, V.
    Selvarengan, P.
    Kavitha, D.
    Muthuraj, V. Arun
    Rajagopal, A.
    JOURNAL OF MOLECULAR MODELING, 2024, 30 (03)
  • [10] Efficient Approximation of Potential Energy Surfaces with Mixed-Basis Interpolation
    Morrow, Zachary
    Kwon, Hyuk-Yong
    Kelley, C. T.
    Jakubikova, Elena
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2021, 17 (09) : 5673 - 5683