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The 3D structure of a complex formed by the acidic fibroblast growth factor (FGF-1) and a specifically designed synthetic heparin hexasaccharide has been determined by NMR spectroscopy. This hexasaccharide can substitute natural heparins in FGF-1 mitogenesis assays, in spite of not inducing any apparent dimerization of the growth factor. The use of this well defined synthetic heparin analogue has allowed us to perform a detailed NMR structural analysis of the heparin-FGF interaction, overcoming the limitations of NMR to deal with the high molecular mass and heterogeneity of the FGF-1 oligomers formed in the presence of natural heparin fragments. Our results confirm that glycosaminoglycans induced FGF-1 dimerization either in a cis or trans disposition with respect to the heparin chain is not an absolute requirement for biological activity.

The structure of a pectin-bound complex of rhamnogalacturonase was modeled to identify the amino acid residues involved in catalysis and substrate binding. The "hairy" region of pectin, represented by six repeating stretches of (1-->4)-D-galacturonate-(1-->2)-L-rhamnose dimer, was flexibly docked into the putative binding site of rhamnogalacturonase from Aspergillus aculeatus whose X-ray structure is known. A search of the complex configurational space was performed using AutoDock for the dimeric and tetrameric sugar units in which the -1 galacturonate residue has various ring conformations. Then the plausible AutoDock solutions were manually extended to the dodecameric pectin models. Subsequently, the resulting complex models were subjected to solvated molecular dynamics using AMBER. In the best model, the substrate has an extended pseudo-threefold helix with the -1 ring in a 4H3 half-chair that approaches the transition state conformation. The catalytic machinery is clearly defined: Asp197 is a general acid and the activated water bound between Asp177 and Glu198 is a nucleophile. The active site is similar, with a small yet significant difference, to that of polygalacturonase that degrades the pectic "smooth" region of linear homopolymer of D-(1-->4)-linked galacturonic acid. Rhamnogalacturonase has ten binding subsites ranging from -3 to +7, while polygalacturonase has eight subsites from -5 to +3. The model suggests that the eight amino acids including three arginine and three lysine residues, all of which are invariantly conserved in the rhamnogalacturonase family of proteins, are important in substrate binding. The present study may aid in designing mutational studies to characterize rhamnogalacturonase.

We present an automated docking protocol specifically optimized to predict the structure and affinity of a protein-carbohydrate complex. A scoring function was developed based on a training set of 30 protein-carbohydrate complexes of known structure and affinity. Combinations of several models for hydrogen bonding, torsional entropy loss, and solvation were tested for their ability to fit the training set data, and the best model was used with AutoDock. The electrostatic empirical coefficient is larger than in a previously obtained model using a training set comprised of various types of protein-ligand complexes, indicating that electrostatic interactions play a more important role in determining the affinity between a carbohydrate and a protein. The differences in the relative weighting of the empirical coefficients in the model yields predicted free energies for the training set with a standard error of 1.403 kcal/mol. The new scoring function was tested on 17 Aspergillus niger glucoamylase inhibitors for which binding energies had been determined experimentally. Free energies of complex formation were predicted with a residual standard error of 1.101 kcal/mol. The new scoring function therefore provides a robust method for predicting free energies of formation and optimal conformations of carbohydrate-protein complexes.