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  • Chemistry/Pharmacy  (2)
  • VA 5105  (2)
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  • Chemistry/Pharmacy  (2)
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  • VA 5105  (2)
  • 1
    Online Resource
    Online Resource
    Wiley ; 2020
    In:  Journal of Computational Chemistry Vol. 41, No. 5 ( 2020-02-15), p. 460-471
    In: Journal of Computational Chemistry, Wiley, Vol. 41, No. 5 ( 2020-02-15), p. 460-471
    Abstract: G‐protein‐coupled receptors (GPCRs) are the largest family of human membrane proteins and serve as primary targets of approximately one‐third of currently marketed drugs. In particular, adenosine A 1 receptor (A 1 AR) is an important therapeutic target for treating cardiac ischemia–reperfusion injuries, neuropathic pain, and renal diseases. As a prototypical GPCR, the A 1 AR is located within a phospholipid membrane bilayer and transmits cellular signals by changing between different conformational states. It is important to elucidate the lipid–protein interactions in order to understand the functional mechanism of GPCRs. Here, all‐atom simulations using a robust Gaussian accelerated molecular dynamics (GaMD) method were performed on both the inactive (antagonist bound) and active (agonist and G‐protein bound) A 1 AR, which was embedded in a 1‐palmitoyl‐2‐oleoyl‐glycero‐3‐phosphocholine (POPC) lipid bilayer. In the GaMD simulations, the membrane lipids played a key role in stabilizing different conformational states of the A 1 AR. Our simulations further identified important regions of the receptor that interacted distinctly with the lipids in highly correlated manner. Activation of the A 1 AR led to differential dynamics in the upper and lower leaflets of the lipid bilayer. In summary, GaMD enhanced simulations have revealed strongly coupled dynamics of the GPCR and lipids that depend on the receptor activation state. © 2019 Wiley Periodicals, Inc.
    Type of Medium: Online Resource
    ISSN: 0192-8651 , 1096-987X
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1479181-X
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2020
    In:  Journal of Computational Chemistry Vol. 41, No. 19 ( 2020-07-15), p. 1773-1780
    In: Journal of Computational Chemistry, Wiley, Vol. 41, No. 19 ( 2020-07-15), p. 1773-1780
    Abstract: A major challenge in computer‐aided drug design is the accurate estimation of ligand binding affinity. Here, a new approach that combines the adaptive steered molecular dynamics (ASMD) and partial atomic charges calculated by semi‐empirical quantum mechanics (SQMPC), namely ASMD‐SQMPC, is suggested to predict the ligand binding affinities, with 24 HIV‐1 protease inhibitors as testing examples. In the ASMD‐SQMPC, the relative binding free energy (Δ G ) is reflected by the average maximum potential of mean force ( 〈 PMF 〉 max ) between bound and unbound states. The correlation coefficient ( R 2 ) between the 〈 PMF 〉 max and experimentally determined Δ G is 0.86, showing a significant improvement compared with the conventional ASMD ( R 2 = 0.52). Therefore, this study provides an efficient approach to predict the relative Δ G and reveals the significance of precise partial atomic charges in the theoretical simulations.
    Type of Medium: Online Resource
    ISSN: 0192-8651 , 1096-987X
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1479181-X
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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