Downloads provided by UsageCounts
pmid: 10842338
Model studies on lectins and their interactions with carbohydrate ligands in solution are essential to gain insights into the driving forces for complex formation and to optimize programs for computer simulations. The specific interaction of pseudohevein with N,N', N"-triacetylchitotriose has been analyzed by (1)H-NMR spectroscopy. Because of its small size, with a chain length of 45 amino acids, this lectin is a prime target to solution-structure determination by NOESY NMR experiments in water. The NMR-analysis was extended to assessment of the topology of the complex between pseudohevein and N, N',N"-triacetylchitotriose. NOESY experiments in water solution provided 342 protein proton-proton distance constraints. Binding of the ligand did not affect the pattern of the protein nuclear Overhauser effect signal noticeably, what would otherwise be indicative of a ligand-induced conformational change. The average backbone (residues 3-41) RMSD of the 20 refined structures was 1.14 A, whereas the heavy atom RMSD was 2.18 A. Two different orientations of the trisaccharide within the pseudohevein binding site are suggested, furnishing an explanation in structural terms for the lectin's capacity to target chitin. In both cases, hydrogen bonds and van der Waals contacts confer stability to the complexes. This conclusion is corroborated by the thermodynamic parameters of binding determined by NMR and isothermal titration calorimetry. The association process was enthalpically driven. In relation to hevein, the Trp/Tyr-substitution in the binding pocket has only a small effect on the free energy of binding in contrast to engineered galectin-1 and a mammalian C-type lectin. A comparison of the three-dimensional structure of pseudohevein in solution to those reported for wheat germ agglutinin (WGA) in the solid state and for hevein and WGA-B in solution has been performed, providing a data source about structural variability of the hevein domains. The experimentally derived structures and the values of the solvent accessibilities for several key residues have also been compared with conformations obtained by molecular dynamics simulations, pointing to the necessity to further refine the programs to enhance their predictive reliability and, thus, underscoring the importance of this kind of combined analysis in model systems.
Hevein, Models, Molecular, ANIMAL LECTINS, Magnetic Resonance Spectroscopy, protein/carbohydrate interactions, Molecular Sequence Data, Carbohydrates, Calorimetry, hevein, Lectins, pseudohevein, CRYSTAL-STRUCTURES, Amino Acid Sequence, NUCLEAR-MAGNETIC-RESONANCE, Plant Proteins, PLANT-LECTINS, SPECTROSCOPY, Pseudohevein, Binding Sites, Dose-Response Relationship, Drug, Sequence Homology, Amino Acid, Temperature, Proteins, N-ACETYLGLUCOSAMINE, microcalorimetry, NMR, Protein Structure, Tertiary, OLIGOSACCHARIDES, Microcalorimetry, URTICA-DIOICA AGGLUTININ, Carbohydrate Sequence, FORCE-FIELD, lectin, Carbohydrate Metabolism, Thermodynamics, Plant Lectins, protein/carbohydrateinteractions, Lectin, CELLULOMONAS-FIMI, Antimicrobial Cationic Peptides, Protein Binding
Hevein, Models, Molecular, ANIMAL LECTINS, Magnetic Resonance Spectroscopy, protein/carbohydrate interactions, Molecular Sequence Data, Carbohydrates, Calorimetry, hevein, Lectins, pseudohevein, CRYSTAL-STRUCTURES, Amino Acid Sequence, NUCLEAR-MAGNETIC-RESONANCE, Plant Proteins, PLANT-LECTINS, SPECTROSCOPY, Pseudohevein, Binding Sites, Dose-Response Relationship, Drug, Sequence Homology, Amino Acid, Temperature, Proteins, N-ACETYLGLUCOSAMINE, microcalorimetry, NMR, Protein Structure, Tertiary, OLIGOSACCHARIDES, Microcalorimetry, URTICA-DIOICA AGGLUTININ, Carbohydrate Sequence, FORCE-FIELD, lectin, Carbohydrate Metabolism, Thermodynamics, Plant Lectins, protein/carbohydrateinteractions, Lectin, CELLULOMONAS-FIMI, Antimicrobial Cationic Peptides, Protein Binding
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 60 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 44 | |
| downloads | 16 |

Views provided by UsageCounts
Downloads provided by UsageCounts