2003
DOI: 10.1002/bip.10539
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The probability distribution of side‐chain conformations in [Leu] and [Met]enkephalin determines the potency and selectivity to μ and δ opiate receptors

Abstract: The structure of enkephalin, a small neuropeptide with five amino acids, has been simulated on computers using molecular dynamics. Such simulations exhibit a few stable conformations, which also have been identified experimentally. The simulations provide the possibility to perform cluster analysis in the space defined by potentially pharmacophoric measures such as dihedral angles, side-chain orientation, etc. By analyzing the statistics of the resulting clusters, the probability distribution of the side-chain… Show more

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Cited by 16 publications
(29 citation statements)
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“…9.5 Å, and 13.4 Å. This distance distribution compares favorably with the distribution of Tyr-Phe distances predicted in a 10-ns MD simulation of YGGFL,12 suggesting that the conformational distributions for YGGWL and YGGFL are similar. It is not clear whether minor differences between the distributions (e.g.…”
Section: Resultssupporting
confidence: 69%
See 2 more Smart Citations
“…9.5 Å, and 13.4 Å. This distance distribution compares favorably with the distribution of Tyr-Phe distances predicted in a 10-ns MD simulation of YGGFL,12 suggesting that the conformational distributions for YGGWL and YGGFL are similar. It is not clear whether minor differences between the distributions (e.g.…”
Section: Resultssupporting
confidence: 69%
“…In addition, it permits comparison to simulations of Leu-enkephalin (YGGFL). In a 10-ns simulation12 with the TIP3P water model, YGGFL sampled a range of Tyr-to-Phe distances from 5 to 15 Å, similar to the Tyr-to-Trp distances obtained in the simulation presented here. The distribution of Tyr-to-Phe distances in the 10-ns simulation formed three well defined populations with ring–to-ring distances of 6 to 8 Å, 9 to 12 Å, and 12 to 15 Å.…”
Section: Discussionmentioning
confidence: 61%
See 1 more Smart Citation
“…The distance excess given by the end-to-end distance minus the length of the backbone curve, is thus essentially given by the end-to-end distance of the protein. For one very short protein, which then is called a peptide, the end-to-end distance has successfully been used as a structural descriptor [14]. However, for structural classification of longer proteins, the end-to-end distance is not expected to perform well for two reasons: The ends of a protein are often flexible, and secondly, when cutting large proteins into domains, then the end-to-end distance of a domain depends strongly on the decision on where to cut the protein into domains.…”
Section: On How To Apply De To Protein Geometrymentioning
confidence: 99%
“…In the study published the energy levels and quantum states of Leu‐enkephalin conformations were investigated both theoretically and experimentally both with quantum and classical mechanical methods 87. Also functional studies were made where the probability distribution of side‐chain conformations in Met‐ and Leu‐enkephalin turned out to determine the potency and selectivity to mu‐ and delta‐opiate receptors 88.…”
Section: Applicationsmentioning
confidence: 99%