1998
DOI: 10.1002/pro.5560071002
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Cluster analysis of consensus water sites in thrombin and trypsin shows conservation between serine proteases and contributions to ligand specificity

Abstract: Cluster analysis is presented as a technique for analyzing the conservation and chemistry of water sites from independent protein structures, and applied to thrombin, trypsin, and bovine pancreatic trypsin inhibitor (BPTI) to locate shared water sites, as well as those contributing to specificity. When several protein structures are superimposed, complete linkage cluster analysis provides an objective technique for resolving the continuum of overlaps between water sites into a set of maximally dense microclust… Show more

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Cited by 81 publications
(81 citation statements)
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“…A total of 13 water molecules were conserved in more than 90% of the structures, including the two water molecules present in all structures. About the same number of conserved waters was found in previous studies of different proteins (5,24,27,33), despite the fact that those studies differ in the method applied, the number of structures, and their resolution. In general, the number of water molecules in crystallographic models increases with resolution (7), while crystallization conditions have only a moderate effect (22).…”
Section: Discussionsupporting
confidence: 73%
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“…A total of 13 water molecules were conserved in more than 90% of the structures, including the two water molecules present in all structures. About the same number of conserved waters was found in previous studies of different proteins (5,24,27,33), despite the fact that those studies differ in the method applied, the number of structures, and their resolution. In general, the number of water molecules in crystallographic models increases with resolution (7), while crystallization conditions have only a moderate effect (22).…”
Section: Discussionsupporting
confidence: 73%
“…All structures including the crystal water molecules were superimposed by multiple-structure fitting of the C ␣ atoms, using the McLachlan algorithm (23) The subsets of atoms to be considered in the fitting process were initially determined by a Needleman-Wunsch sequence alignment and then iteratively updated during the fitting process. Subsequently, a complete linkage hierarchical cluster analysis of the water molecules in all 49 superimposed structures was performed using WatCH software (33). The clustering process groups together water molecules from different structures that physically overlap and represent one specific water position.…”
Section: Data Preparationmentioning
confidence: 99%
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“…3). The architecture of this channel is highly conserved in serine proteases and is thought to play a key role in substrate recognition and specificity (26)(27)(28). In the Y225F mutant, the side chain of F225 is 90% buried in a hydrophobic pocket located on the outer wall of the primary specificity site and is positioned as Y225 in the wild type (11,24).…”
Section: Resultsmentioning
confidence: 99%
“…The justification for this approach consider the fact that in the active site of enzymes the solvent can be affected by strong electric fields and can assume a specific structural ordering. [75][76][77] In this situation, the dielectric response of the active site molecules will not be accurately described in the continuum electrostatic approximation using a high (⑀ s ϭ 80) dielectric constant inside the catalytic cleft.…”
Section: Definition Of the Protein Solvent Boundary Surfacementioning
confidence: 99%