1998
DOI: 10.1002/pro.5560071128
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The identification of metal‐binding ligand residues in metalloproteins using nuclear magnetic resonance spectroscopy

Abstract: Abstract:The identification of metal-binding ligands in metalloproteins is an important step in gaining detailed information regarding the environment of the active site. Traditionally, techniques such as '"Cd-substitution for the active metal followed by isotopefiltered NMR techniques have been used to this end. However, for medium to high molecular weight proteins (>20 kDa), these experiments may not be beneficial due to extensive 'H spectral overlap. Here, we describe an alternative approach, where metalbin… Show more

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Cited by 6 publications
(5 citation statements)
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“…Since phosphate has a high affinity for zinc ions, it is likely that zinc is sequestered from the catalytic active sites to form insoluble Zn 3 (PO 4 ) 2 , suggesting that the removal of zinc ions from the active site precedes or accompanies aggregation. This is consistent with the observation that when the metal chelator EDTA is added to highly stable NMR samples prepared using the ion exchange protocol, aggregation occurs within hours (27). The stability and tendency of the protein to exist as a monomer are greatly improved in the presence of the inhibitor, presumably due to the lowered solvent accessibility of the zinc site.…”
Section: Resultssupporting
confidence: 88%
“…Since phosphate has a high affinity for zinc ions, it is likely that zinc is sequestered from the catalytic active sites to form insoluble Zn 3 (PO 4 ) 2 , suggesting that the removal of zinc ions from the active site precedes or accompanies aggregation. This is consistent with the observation that when the metal chelator EDTA is added to highly stable NMR samples prepared using the ion exchange protocol, aggregation occurs within hours (27). The stability and tendency of the protein to exist as a monomer are greatly improved in the presence of the inhibitor, presumably due to the lowered solvent accessibility of the zinc site.…”
Section: Resultssupporting
confidence: 88%
“…Previous biochemical, kinetic, and structural studies have indicated significant differences among the metallo-β-lactamases (1,11,21,33,34). These differences suggest that one inhibitor may not inhibit all metallo-β-lactamases; in fact, previous studies using nonclinical inhibitors have shown widely different effacacies and interactions of the inhibitors with the different metallo-β-lactamases (12,13,16,17,(35)(36)(37)(38). The published crystal structures of CcrA, L1, and β-lactamase II demonstrate different active site amino acids, and computer modeling studies using these crystal structures as a basis have been used to predict distinct substrate binding models and reaction mechanisms (4,5,9).…”
Section: Discussionmentioning
confidence: 99%
“…Concha et al reported the crystal structure of CcrA in 1996 (), and since then, several other structures have been reported of the enzyme with competitive inhibitors bound within the active site ( , ). Solution NMR studies have also been reported on CcrA ( , ). Since it has been impossible so far to determine the crystal structure of CcrA with substrate bound in the active site, modeling studies have been used to propose how substrate binds to the enzyme.…”
mentioning
confidence: 99%
“…Protein–ligand interactions are indispensable for many biological processes, such as gene expression, signal transduction, and antigen–antibody interaction 1–7 . To explore the interaction mechanisms, experimental methods are applied to resolve complex structures, such as X‐ray, nuclear magnetic resonance spectroscopy, and laser Raman spectroscopy.…”
Section: Introductionmentioning
confidence: 99%
“…Protein-ligand interactions are indispensable for many biological processes, such as gene expression, signal transduction, and antigen-antibody interaction. [1][2][3][4][5][6][7] To explore the interaction mechanisms, experimental methods are applied to resolve complex structures, such as X-ray, nuclear magnetic resonance spectroscopy, and laser Raman spectroscopy. However, considering the time-consuming and high cost of experimental methods, developing efficient computational methods for binding pocket prediction has become an essential topic in structural bioinformatics.…”
Section: Introductionmentioning
confidence: 99%