A database analysis of jacalin-like lectins: sequence-structure-function relationships

Lectins are known to be important for many biological processes, due to their ability to recognize cell surface carbohydrates with high specificity. Plant lectins have been model systems to study protein-carbohydrate recognition, because individually they exhibit high sensitivity and as a group large diversity in recognizing carbohydrate structures. Although extensive studies have been carried out for legume lectins that have led to interesting insights into the sequence determinants of sugar recognition in them, frameworks with such specific correlations are not available for other plant lectin families. This study reports a large-scale data acquisition and extensive analysis of sequences and structures of beta-prism-I or jacalin-related lectins (JRLs) and shows that hypervariability in the binding site loops generates carbohydrate recognition diversity, a strategy analogous to that in legume lectins. Analyses of the size, conformation, and sequence variability in key regions reveal the existence of a common theme, encoded as a set of structural features over a common scaffold, in defining specificity. This study also points to the remarkable range of domain architectures, often arising out of gene duplication events in lectins of this family. The data analyzed here also indicate a spectacular variety of quaternary associations possible in this family of lectins that have implications for glycan recognition. These results thus provide sequence-structure-function correlations, an understanding of the molecular basis of carbohydrate recognition by beta-prism-I lectins, and also a rationale for engineering specific recognition capabilities in relevant molecules.     

Carbohydrate binding properties and carbohydrate induced conformational switch in sheep secretory glycoprotein (SPS-40): crystal structures of four complexes of SPS-40 with chitin-like oligosaccharides

Crystal structures of four complexes of sheep secretory glycoprotein (SPS-40) with N-acetylglucosamine oligosaccharides (GlcNAc(n), (n=3-6)) have been determined at moderate resolutions. The binding studies of SPS-40 have been carried out using fluorescence spectroscopy and Surface Plasmon Resonance (SPR). Structure determinations of four complexes have shown a novel binding pattern of GlcNAc(n) molecules to SPS-40. The results indicate that the most preferred recognition region in the carbohydrate binding groove in SPS-40 is at subsites -4 to -2 among which subsite -2 provides the maximum interactions with carbohydrate residues. These structures have also shown that the interactions of GlcNAc3 and GlcNAc4 do not perturb the protein structure and those of GlcNAc5 induce partial conformational changes while in the case of GlcNAc6 the partially closed binding groove opened up completely. As in other SPX-40 structures, SPS-40 structure contains three overlapping flexible surface segments, His188-His197, Phe202-Arg212 and Phe244-Pro260 with several charged residues protruding outwardly. It creates a cluster of positive charges with a flexible base thus indicating a good scope of promoting the intermolecular interactions. This protein is glycosylated at Asn39 and may recognize other receptors having sugar binding sites. It appears that SPS-40 may involve both carbohydrate and protein bindings. The systematic carbohydrate-binding studies and the detailed structural results of four protein-carbohydrate complexes provide an excellent insight into the mechanism of carbohydrate binding. These are the first studies of this kind on secretory glycoproteins and their interactions with carbohydrates.     

Search for fucose binding domains in recently sequenced hypothetical proteins using molecular modeling techniques and structural analysis

The crystal structure of a fucose-binding lectin from the bacteria Pseudomonas aeruginosa in complex with α-L-fucose has been recently determined. It is a tetramer; each monomer displays a nine-stranded, antiparallel, β-sandwiched arrangement and contains two calcium ions that mediate the binding of fucose in a recognition mode unique among protein-carbohydrate interactions. In search of this type of unique interactions in other newly discovered protein sequences, we have used molecular modeling techniques to predict and analyze the 3-D structures of some proteins, which exhibited reasonable degree of homology with the amino acid sequence of the bacterial protein. A BLAST search with the sequence of Pseudomonas aeruginosa as query in the non-redundant sequence database identified four proteins from different species, three organisms from bacteria and one from archaea. We have modeled the structures of these proteins as well as those of the complexes with carbohydrates and studied the nature of physicochemical forces involved in the complex formation both in presence and absence of calcium. The calcium-binding loops have been found to be highly conserved both in terms of primary and tertiary structures in these proteins, although a less acidic character is observed in Photorhabdus lectin due to the absence of two aspartic acid residues on the calcium-binding loop which also resulted in lower binding affinity. All these structures exhibited highly negative electrostatic environment in the vicinity of the calcium-binding loops which was essential for neutralizing the positive charges of two closely situated Ca⁺² ions. The comparison of the binding affinities of some monosaccharides other than fucose, e.g. mannose and fructose, showed higher binding energies confirming the fucose specificity of these proteins.     

Sequence and structural features of carbohydrate binding in proteins and assessment of predictability using a neural network

Background  

Protein-Carbohydrate interactions are crucial in many biological processes with implications to drug targeting and gene expression. Nature of protein-carbohydrate interactions may be studied at individual residue level by analyzing local sequence and structure environments in binding regions in comparison to non-binding regions, which provide an inherent control for such analyses. With an ultimate aim of predicting binding sites from sequence and structure, overall statistics of binding regions needs to be compiled. Sequence-based predictions of binding sites have been successfully applied to DNA-binding proteins in our earlier works. We aim to apply similar analysis to carbohydrate binding proteins. However, due to a relatively much smaller region of proteins taking part in such interactions, the methodology and results are significantly different. A comparison of protein-carbohydrate complexes has also been made with other protein-ligand complexes.     

Structural basis for carbohydrate-binding specificity--a comparative assessment of two engineered carbohydrate-binding modules

Detection, immobilization and purification of carbohydrates can be done using molecular probes that specifically bind to targeted carbohydrate epitopes. Carbohydrate-binding modules (CBMs) are discrete parts of carbohydrate-hydrolyzing enzymes that can be engineered to bind and detect specifically a number of carbohydrates. Design and engineering of CBMs have benefited greatly from structural studies that have helped us to decipher the basis for specificity in carbohydrate-protein interactions. However, more studies are needed to predict which modifications in a CBM would generate probes with predetermined binding properties. In this report, we present the crystal structures of two highly related engineered CBMs with different binding specificity profiles: X-2, which is specific for xylans and the L110F mutant of X-2, which binds xyloglucans and β-glucans in addition to xylans. The structures of the modules were solved both in the apo form and complexed with oligomers of xylose, as well as with an oligomer of glucose in the case of X-2 L110F. The mutation, leucine to phenylalanine, converting the specific module into a cross-reactive one, introduces a crucial hydrogen-π interaction that allows the mutant to retain glucan-based ligands. The cross-reactivity of X-2 L110F is furthermore made possible by the plasticity of the protein, in particular, of residue R142, which permits accommodation of an extra hydroxymethyl group present in cellopentaose and not xylopentaose. Altogether, this study shows, in structural detail, altered protein-carbohydrate interactions that have high impact on the binding properties of a carbohydrate probe but are introduced through simple mutagenesis.     

Structural basis of carbohydrate recognition by lectin II from Ulex europaeus, a protein with a promiscuous carbohydrate-binding site

Protein-carbohydrate interactions are the language of choice for inter- cellular communication. The legume lectins form a large family of homologous proteins that exhibit a wide variety of carbohydrate specificities. The legume lectin family is therefore highly suitable as a model system to study the structural principles of protein-carbohydrate recognition. Until now, structural data are only available for two specificity families: Man/Glc and Gal/GalNAc. No structural data are available for any of the fucose or chitobiose specific lectins.The crystal structure of Ulex europaeus (UEA-II) is the first of a legume lectin belonging to the chitobiose specificity group. The complexes with N-acetylglucosamine, galactose and fucosylgalactose show a promiscuous primary binding site capable of accommodating both N-acetylglucos amine or galactose in the primary binding site. The hydrogen bonding network in these complexes can be considered suboptimal, in agreement with the low affinities of these sugars. In the complexes with chitobiose, lactose and fucosyllactose this suboptimal hydrogen bonding network is compensated by extensive hydrophobic interactions in a Glc/GlcNAc binding subsite. UEA-II thus forms the first example of a legume lectin with a promiscuous binding site and illustrates the importance of hydrophobic interactions in protein-carbohydrate complexes. Together with other known legume lectin crystal structures, it shows how different specificities can be grafted upon a conserved structural framework.     

Carbohydrate-binding proteins in cancer, and their ligands as therapeutic agents

Experimental evidence directly implicates complex carbohydrates in recognition processes, including adhesion between cells, adhesion of cells to the extracellular matrix, and specific recognition of cells by one another. In addition, carbohydrates are recognized as differentiation markers and as antigenic determinants. Lectins are nonenzymatic proteins present in plants and animals, which preferentially bind to specific carbohydrate structures and play an important role in cell recognition. Modified carbohydrates and oligosaccharides have the ability to interfere with carbohydrate-protein interactions and therefore, inhibit the cell-cell recognition and adhesion processes, which play an important role in cancer growth and progression. Carbohydrate ligands therefore, are candidates to play important roles in cancer therapeutics.     

Chemistry-driven glycoscience

Carbohydrates are the most prominent features of the cell’s exterior—they are the cell’s “face” and serve as the cell’s identification card. The features of cell surface glycans (e.g. glycoproteins, glycolipids, polysaccharides) can be read by proteins, other cells, or organisms. In all of these contexts, glycan-binding proteins typically recognize (“read”) glycan identity. This recognition mediates important host-microbe interactions, as well as critical physiological functions, including fertilization, development, and immune system function. This article focuses on how proteins recognize glycans with an emphasis on three objectives: 1) to understand the molecular basis for carbohydrate recognition, 2) to implement that understanding to develop functional probes of protein-carbohydrate interactions, and 3) to apply those probes to elucidate and exploit the physiological consequences of protein–carbohydrate interactions. In this context, our group has focused on two key aspects of carbohydrate recognition: CH-π and multivalent interactions. We are applying the foundational knowledge gained from our studies for purposes ranging from illuminating host-microbe interactions to probing immune system function.     

Prediction of carbohydrate binding sites on protein surfaces with 3-dimensional probability density distributions of interacting atoms

Non-covalent protein-carbohydrate interactions mediate molecular targeting in many biological processes. Prediction of non-covalent carbohydrate binding sites on protein surfaces not only provides insights into the functions of the query proteins; information on key carbohydrate-binding residues could suggest site-directed mutagenesis experiments, design therapeutics targeting carbohydrate-binding proteins, and provide guidance in engineering protein-carbohydrate interactions. In this work, we show that non-covalent carbohydrate binding sites on protein surfaces can be predicted with relatively high accuracy when the query protein structures are known. The prediction capabilities were based on a novel encoding scheme of the three-dimensional probability density maps describing the distributions of 36 non-covalent interacting atom types around protein surfaces. One machine learning model was trained for each of the 30 protein atom types. The machine learning algorithms predicted tentative carbohydrate binding sites on query proteins by recognizing the characteristic interacting atom distribution patterns specific for carbohydrate binding sites from known protein structures. The prediction results for all protein atom types were integrated into surface patches as tentative carbohydrate binding sites based on normalized prediction confidence level. The prediction capabilities of the predictors were benchmarked by a 10-fold cross validation on 497 non-redundant proteins with known carbohydrate binding sites. The predictors were further tested on an independent test set with 108 proteins. The residue-based Matthews correlation coefficient (MCC) for the independent test was 0.45, with prediction precision and sensitivity (or recall) of 0.45 and 0.49 respectively. In addition, 111 unbound carbohydrate-binding protein structures for which the structures were determined in the absence of the carbohydrate ligands were predicted with the trained predictors. The overall prediction MCC was 0.49. Independent tests on anti-carbohydrate antibodies showed that the carbohydrate antigen binding sites were predicted with comparable accuracy. These results demonstrate that the predictors are among the best in carbohydrate binding site predictions to date.     

Crystal structure of the lectin of Camptosema pedicellatum: implications of a conservative substitution at the hydrophobic subsite

Lectins have been used as models for studies of the molecular basis of protein-carbohydrate interaction and specificity by deciphering codes present in the glycan structures. The purpose of the present study was to purify and solve the complete primary and crystal structure of the lectin of Camptosema pedicellatum (CPL) complexed with 5-bromo-4-chloro-3-indolyl-α-d-mannose (X-Man) using tandem mass spectrometry. CPL was purified by single-step affinity chromatography. Mass spectrometry findings revealed that purified CPL features a combination of chains weighing 25,298 ± 2 (α-chain), 12,835 ± 2 (β-chain) and 12,481 ± 2 Da (γ-chain). The solved crystal structure of CPL features a conservative mutation in the hydrophobic subsite, a constituent of the carbohydrate recognition domain (CRD), indicating the relevance of hydrophobic interactions in the establishment of interactions with carbohydrates. The substitution and the analysis of the interactions with X-Man also revealed that the hydrophobic effect caused by a minor change in the hydrophobic subsite interferes in the formation of H-bonds due to the reorientation of the indolyl group in the CRD.     

Rational design and synthesis of peptide ligands for an anti-carbohydrate antibody and their immunochemical characterization

Molecular mimics of carbohydrates present an alternative source of compounds to target pathways involving protein-carbohydrate interactions. Certain peptides act as molecular mimics of carbohydrates in binding to anti-carbohydrate antibodies. A series of potential peptide ligands for the anti-carbohydrate antibody SYA/J6, directed against Shigella flexneri Y, was designed by molecular modeling based on a crystal structure of the antibody complex with a carbohydrate-mimetic peptide. These octapeptides were synthesized using solid-phase peptide synthesis, and their recognition by the antibody was investigated. The results shed light on the nature of peptide-carbohydrate mimicry.     

A role of carbohydrate-carbohydrate interaction in the process of specific cell recognition during embryogenesis and organogenesis: a preliminary note

A possible role of cell surface glycoconjugates in cell recognition has been envisioned based on recognition of carbohydrates by cell surface proteins such as endogenous lectins, glycosyltransferases, and hydrolases (refs. 18-22 in text). A new possibility that a specific carbohydrate at the cell surface could be recognized by the same or similar carbohydrate on the counterpart cell surface is now suggested by specific interaction between Lex and Lex, but not between Lex and sialylated or non-substituted type 2 chain. A new hypothesis is hereby proposed for carbohydrate-carbohydrate interactions as recognition signals during embryogenesis and organogenesis.     

Capillary affinity electrophoresis for the screening of post-translational modification of proteins with carbohydrates

Glycosylation is one of the most important post-translational events for proteins, affecting their functions in health and disease, and plays significant roles in various information traffics for intracellular and intercellular biological events (Hancock, W. S. J. Proteome Res. 2002, 1, 297). We have attempted to obtain the information on the numbers and amounts of carbohydrate chains. Interaction between carbohydrate chains and proteins that recognize them is a target to understand the biological roles of glycosylation. To date, there have been a few strategies for simultaneous analysis of the interactions between complex mixtures of carbohydrates and proteins. Here, we report an approach to categorize carbohydrate chains using a few glycoprotein samples as models for the studies on the analysis of post-translational modification of proteins with carbohydrates. A combination of some specific lectins was used as carbohydrate-binding proteins. The method is based on high-resolution separation of fluorescent-labeled carbohydrates by capillary electrophoresis with laser-induced fluorescent detection in the presence of carbohydrate-binding proteins at different concentrations. The present technique affords (1) simultaneous determination of carbohydrate chains, (2) binding specificity of the constituent carbohydrate chains to specific proteins, and (3) kinetic data such as the association constant of each carbohydrate. We found that the lectins employed in the present study could discriminate subtle difference in linkages and resolved the carbohydrate mixtures. The results will be useful, for example, to understand the biological events expressed with carbohydrate changes on the cell surface.     

Cell surface carbohydrates in cell adhesion.

Carbohydrates are ubiquitous constituents of cell surfaces, and possess many characteristics that make them ideal candidates for recognition molecules. In many systems where cell adhesion plays a critical role, carbohydrate binding proteins have been shown to bind to cell surface carbohydrates and participate in cell-cell interactions. Such systems include fertilization, development, pathogen-host recognition and inflammation. In particular the recent discovery of the LEC-CAMs and their importance in leukocyte biology has refocused attention on lectin-mediated cell adhesion. The LEC-CAMs offer good targets for the development of therapeutics based on carbohydrate structures.     

O-linked protein glycosylation structure and function

There has been a recent resurgence of interest in the post-translational modification of serine and threonine hydroxyl groups by glycosylation, because the resulting O-linked oligosaccharide chains tend to be clustered over short stretches of peptide and hence they can present multivalent carbohydrate antigenic or functional determinants for antibody recognition, mammalian cell adhesion and microorganism binding. Co-operativity can greatly increase the affinity of interactions with antibodies or carbohydrate binding proteins. Thus, in addition to their known importance in bearing tumour associated antigens in the gastrointestinal and respiratory tracts, glycoproteins with O-linked chains have been implicated as ligands or co-receptors for selectins (mammalian carbohydrate binding proteins). Microorganisms may have adopted similar mechanisms for interactions with mammalian cells in infection, by having relatively low affinity ligands (adhesins) for carbohydrate binding, which may bind with higher affinity due to the multivalency of the host ligand and which are complemented by other virulence factors such as interactions with integrin-type molecules. In addition to specific adhesion signals from O-linked carbohydrate chains, multivalent O-glycosylation is involved in determining protein conformation and forming conjugate oligosaccharide-protein antigenic, and possible functional determinants.     

Structure-based analysis of protein-RNA interactions using the program ENTANGLE

Until recently, drawing general conclusions about RNA recognition by proteins has been hindered by the paucity of high-resolution structures. We have analyzed 45 PDB entries of protein-RNA complexes to explore the underlying chemical principles governing both specific and non-sequence specific binding. To facilitate the analysis, we have constructed a database of interactions using ENTANGLE, a JAVA-based program that uses available structural models in their PDB format and searches for appropriate hydrogen bonding, stacking, electrostatic, hydrophobic and van der Waals interactions. The resulting database of interactions reveals correlations that suggest the basis for the discrimination of RNA from DNA and for base-specific recognition. The data illustrate both major and minor interaction strategies employed by families of proteins such as tRNA synthetases, ribosomal proteins, or RNA recognition motifs with their RNA targets. Perhaps most surprisingly, specific RNA recognition appears to be mediated largely by interactions of amide and carbonyl groups in the protein backbone with the edge of the RNA base. In cases where a base accepts a proton, the dominant amino acid donor is arginine, whereas in cases where the base donates a proton, the predominant acceptor is the backbone carbonyl group, not a side-chain group. This is in marked contrast to DNA-protein interactions, which are governed predominantly by amino acid side-chain interactions with functional groups that are presented in the accessible major groove. RNA recognition often proceeds through loops, bulges, kinks and other irregular structures that permit use of all the RNA functional groups and this is seen throughout the protein-RNA interaction database.     

Computational Assessment of Protein–protein Binding Affinity by Reversely Engineering the Energetics in Protein Complexes

The cellular functions of proteins are maintained by forming diverse complexes. The stability of these complexes is quantified by the measurement of binding affinity, and mutations that alter the binding affinity can cause various diseases such as cancer and diabetes. As a result, accurate estimation of the binding stability and the effects of mutations on changes of binding affinity is a crucial step to understanding the biological functions of proteins and their dysfunctional consequences. It has been hypothesized that the stability of a protein complex is dependent not only on the residues at its binding interface by pairwise interactions but also on all other remaining residues that do not appear at the binding interface. Here, we computationally reconstruct the binding affinity by decomposing it into the contributions of interfacial residues and other non-interfacial residues in a protein complex. We further assume that the contributions of both interfacial and non-interfacial residues to the binding affinity depend on their local structural environments such as solvent-accessible surfaces and secondary structural types. The weights of all corresponding parameters are optimized by Monte-Carlo simulations. After cross-validation against a large-scale dataset, we show that the model not only shows a strong correlation between the absolute values of the experimental and calculated binding affinities, but can also be an effective approach to predict the relative changes of binding affinity from mutations. Moreover, we have found that the optimized weights of many parameters can capture the first-principle chemical and physical features of molecular recognition, therefore reversely engineering the energetics of protein complexes. These results suggest that our method can serve as a useful addition to current computational approaches for predicting binding affinity and understanding the molecular mechanism of protein–protein interactions.     

The molecular mechanism of sulfated carbohydrate recognition by the cysteine-rich domain of mannose receptor

The mannose receptor (MR) binds foreign and host ligands through interactions with their carbohydrates. Two portions of MR have distinct carbohydrate recognition properties. One is conferred by the amino-terminal cysteine-rich domain (Cys-MR), which plays a critical role in binding sulfated glycoproteins including pituitary hormones. The other is achieved by tandemly arranged C-type lectin domains that facilitate carbohydrate-dependent uptake of infectious microorganisms. This dual carbohydrate binding specificity enables MR to bind ligands by interacting with both sulfated and non-sulfated polysaccharide chains. We previously determined crystal structures of Cys-MR complexed with 4-SO(4)-N-acetylglucosamine and with an unidentified ligand resembling Hepes (N-[2-hydroxyethyl]piperazine-N'-[2-ethanesulfonic acid]). In continued efforts to elucidate the mechanism of sulfated carbohydrate recognition by Cys-MR, we characterized the binding affinities between Cys-MR and potential carbohydrate ligands using a fluorescence-based assay. We find that Cys-MR binds sulfated carbohydrates with relatively high affinities (K(D)=0.1 mM to 1.0 mM) compared to the affinities of other lectins. Cys-MR also binds Hepes with a K(D) value of 3.9 mM, consistent with the suggestion that the ligand in the original Cys-MR crystal structure is Hepes. We also determined crystal structures of Cys-MR complexed with 3-SO(4)-Lewis(x), 3-SO(4)-Lewis(a), and 6-SO(4)-N-acetylglucosamine at 1.9 A, 2.2 A, and 2.5 A resolution, respectively, and the 2.0 A structure of Cys-MR that had been treated to remove Hepes. The conformation of the Cys-MR binding site is virtually identical in all Cys-MR crystal structures, suggesting that Cys-MR does not undergo conformational changes upon ligand binding. The structures are used to rationalize the binding affinities derived from the biochemical studies and to elucidate the molecular mechanism of sulfated carbohydrate recognition by Cys-MR.     

肿瘤相关糖基结合蛋白Galectin-3及其治疗性配体

糖类参与细胞间黏附、细胞与胞外基质黏附、细胞间特异性识别等过程.Galectin-3是哺乳动物体内存在的非酶类蛋白质,其结构上保守的碳水化合物识别结构域能优先与β-半乳糖苷类结构结合,参与生理生化反应.含有半乳糖苷或类似结构的物质,包括化学修饰糖类、功能多肽、天然改性糖类,作为galectin-3的配体,能不同程度地干预糖基和蛋白质的相互作用,抑制在肿瘤生长、侵袭和转移中具有重要作用的细胞间识别和黏附等过程.     

Carbohydrate-carbohydrate interactions in adhesion

Cell-cell interactions play an important role in the development, maintenance, and pathogenesis of tissues. They are highly dynamic processes which include migration, recognition, signaling, adhesion, and finally attachment. Cells on their pathway to a final location have to pass and interact with their substratum formed of matrix and cell layers. Testing and recognition are important keys for the proper result of tissue formation. They can, however, also lead to diseases when they are misused in pathological situations, by microorganisms or malignant cells, for instance. Carbohydrates, which are the most prominent surface-exposed structures, must play an important role as recognition molecules in such processes. The rich variability of carbohydrate sequences which cell surfaces can present to lectins, adhesion molecules, and other ligands creates a refined pattern of potential attachment sites. The subtle control of the surface presentation density can provide variations in attachment strength. Not only the carbohydrate sequences but also the fact that carbohydrates can be branched while proteins cannot and that the oligosaccharide chains can be attached to the protein backbone in different densities and patterns will create yet more interaction possibilities. Maximal use of the combinatorial richness of carbohydrate molecules would be made when carbohydrate sequences could interact with other carbohydrate sequences. Such interactions have only very rarely been considered for biochemically and biologically relevant situations since they are difficult to measure. A few are known and will be summarized here with the hope that this wealth of possible chemical interactions may be considered more and more by surface cell biochemists when analyzing fine tuning in cellular interactions. © 1996 Wiley-Liss, Inc.