PubMed Health⌕ Search

Biomedical subjects

J L Pellequer

Publications and source records attributed to J L Pellequer.

At least 19 recordsLinked to original sources
PubMed2001

F-box protein Grr1 interacts with phosphorylated targets via the cationic surface of its leucine-rich repeat.

The flexibility and specificity of ubiquitin-dependent proteolysis are mediated, in part, by the E3 ubiquitin ligases. One class of E3 enzymes, SKp1/cullin/F-box protein (SCF), derives its specificity from F-box proteins, a heterogeneous family of adapters for target protein recognition. Grr1, the F-box component of SCF(Grr1), mediates the interaction with phosphorylated forms of the G(1) cyclins Cln1 and Cln2. We show that binding of Cln2 by SCF(Grr1) was dependent upon its leucine-rich repeat (LRR) domain and its carboxy terminus. Our structural model for the Grr1 LRR predicted a high density of positive charge on the concave surface of the characteristic horseshoe structure. We hypothesized that specific basic residues on the predicted concave surface are important for recognition of phosphorylated Cln2. We show that point mutations that converted the basic residues on the concave surface but not those on the convex surface to neutral or acidic residues interfered with the capacity of Grr1 to bind to Cln2. The same mutations resulted in the stabilization of Cln2 and Gic2 and also in a spectrum of phenotypes characteristic of inactivation of GRR1, including hyperpolarization and enhancement of pseudohyphal growth. It was surprising that the same residues were not important for the role of Grr1 in nutrient-regulated transcription of HXT1 or AGP1. We concluded that the cationic nature of the concave surface of the Grr1 LRR is critical for the recognition of phosphorylated targets of SCF(Grr1) but that other properties of Grr1 are required for its other functions.

Amino Acid Sequence↗
PubMed2000

Stabilization of bound polycyclic aromatic hydrocarbons by a pi-cation interaction.

Proteins can use aromatic side-chains to stabilize bound cationic ligands through cation-pi interactions. Here, we report the first example of the reciprocal process, termed pi-cation, in which a cationic protein side-chain stabilizes a neutral aromatic ligand. Site-directed mutagenesis revealed that an arginine side-chain located in the deep binding pocket of a monoclonal antibody (4D5) is essential for binding the neutral polynuclear aromatic hydrocarbon benzo[a]pyrene. This Arg was very likely selected for in the primary response, further underscoring the importance of the pi-cation interaction for ligand binding, which should be considered in protein analysis and design when ligands include aromatic groups.

Amino Acid Sequence↗
PubMed2000

Blood coagulation: The outstanding hydrophobic residues.

Newly determined crystal structures suggest that the membrane-binding C2 domains of blood coagulation cofactors Va and VIIIa bind anionic phospholipids through protruding solvent-exposed hydrophobic residues, aided by a crown of positively charged residues and by specific hydrogen-bonding side chains.

Binding Sites↗
PubMed2000

Structural basis for hemophilia A caused by mutations in the C domains of blood coagulation factor VIII.

Three dimensional homology models for the C1 and C2 domains of factor VIII (FVIII) were generated. Each C domain formed a beta-sandwich, and C1 was covalently connected to C2 in a head-to-head orientation. Of the >250 missense mutations that cause FVIII deficiency and hemophilia A, 34 are in the C domains. We used the FVIII C1-C2 model to infer the structural basis for the pathologic effects of these mutations. The mutated residues were divided into four categories: 15 conserved buried residues that affect normal packing of the hydrophobic side chains, 2 non-conserved buried residues that affect structure, 11 conserved exposed residues and 6 non-conserved exposed residues. The effects of all 34 missense mutations can be rationalized by predictable disruptions of FVIII structure while at most four mutations (S2069F, T2154I, R2209Q/G/L and E2181D) may affect residues directly involved in intermolecular interactions of FVIII/VIIIa with other coagulation factors or vWF.

Amino Acid Sequence↗
PubMed2000

Three-dimensional model of coagulation factor Va bound to activated protein C.

A complete molecular model of blood coagulation factor Va (FVa) bound to anticoagulant activated protein C (APC) and to a phospholipid membrane was constructed. The three homologous A domains and the two homologous C domains of FVA were modeled based on the X-ray crystallographic structures of ceruloplasmin and C2 domain of factor V, respectively. The final arrangement of the five domains in the complete FVa model bound to a membrane incorporated extensive published experimental data. FVa binds the phospholipid membrane through its C2 domain while the A-domain trimer is located from 40 through 100 A above the membrane plane. From our model we infer a probable role for metal ions at the interface between FVa light and heavy chains, provide an explanation for the slower APC cleavage at Arg306 relative to Arg506, and predict specific interactions between positively and negatively charged exosites in APC and FVa, respectively.

Amino Acid Sequence↗
PubMed1999

Biological sensors: More than one way to sense oxygen.

Recently determined structures of the oxygen-sensing heme domain of the bacterial protein FixL have revealed a new binding environment and signal transduction mechanism for heme; they have also provided new insights into the diverse 'PAS' domain superfamily.

Animals↗
PubMed1998

Photoactive yellow protein: a structural prototype for the three-dimensional fold of the PAS domain superfamily.

PAS domains are found in diverse proteins throughout all three kingdoms of life, where they apparently function in sensing and signal transduction. Although a wealth of useful sequence and functional information has become recently available, these data have not been integrated into a three-dimensional (3D) framework. The very early evolutionary development and diverse functions of PAS domains have made sequence analysis and modeling of this protein superfamily challenging. Limited sequence similarities between the approximately 50-residue PAS repeats and one region of the bacterial blue-light photosensor photoactive yellow protein (PYP), for which ground-state and light-activated crystallographic structures have been determined to high resolution, originally were identified in sequence searches using consensus sequence probes from PAS-containing proteins. Here, we found that by changing a few residues particular to PYP function, the modified PYP sequence probe also could select PAS protein sequences. By mapping a typical approximately 150-residue PAS domain sequence onto the entire crystallographic structure of PYP, we show that the PAS sequence similarities and differences are consistent with a shared 3D fold (the PAS/PYP module) with obvious potential for a ligand-binding cavity. Thus, PYP appears to prototypically exhibit all the major structural and functional features characteristic of the PAS domain superfamily: the shared PAS/PYP modular domain fold of approximately 125-150 residues, a sensor function often linked to ligand or cofactor (chromophore) binding, and signal transduction capability governed by heterodimeric assembly (to the downstream partner of PYP). This 3D PAS/PYP module provides a structural model to guide experimental testing of hypotheses regarding ligand-binding, dimerization, and signal transduction.

Amino Acid Sequence↗
PubMed1998

Homology models of the C domains of blood coagulation factors V and VIII: a proposed membrane binding mode for FV and FVIII C2 domains.

We present homology models of the C domains of coagulation factors V (FV) and VIII (FVIII). Using a threading approach, we identified the binding domain of galactose oxidase as an appropriate template for each C domain. The C1 and C2 domains of FV associate to form an elongated cylinder of 80A long and 30A diameter. The folding unit is a beta-sandwich with a long axis of 40A and a diameter of 30A. The current model allows us to propose a membrane binding mode for the C2 domains of FV and FVIII with three major characteristics: 1) solvent-exposed hydrophobic side chains from three loops at one end of the beta-sandwich are buried in the hydrophobic layer of the outer phospholipid leaflet; 2) a crown of positively charged residues is located in the polar zone of the phospholipid head groups; and 3) the long axis of the beta-sandwich of the C2 domain is perpendicular to the plane of the membrane. This proposal satisfies experimentally observed characteristics of membrane binding for the C2 domain and the light chain of FVa.

Amino Acid Sequence↗
PubMed1998

Substrate specificity of prostate-specific antigen (PSA).

BACKGROUND: The serine protease prostate-specific antigen (PSA) is a useful clinical marker for prostatic malignancy. PSA is a member of the kallikrein subgroup of the (chymo)trypsin serine protease family, but differs from the prototypical member of this subgroup, tissue kallikrein, in possessing a specificity more similar to that of chymotrypsin than trypsin. We report the use of two strategies, substrate phage display and iterative optimization of natural cleavage sites, to identify labile sequences for PSA cleavage. RESULTS: Iterative optimization and substrate phage display converged on the amino-acid sequence SS(Y/F)Y decreases S(G/S) as preferred subsite occupancy for PSA. These sequences were cleaved by PSA with catalytic efficiencies as high as 2200-3100 M-1 s-1, compared with values of 2-46 M-1 s-1 for peptides containing likely physiological target sequences of PSA from the protein semenogelin. Substrate residues that bind to secondary (non-S1) subsites have a critical role in defining labile substrates and can even cause otherwise disfavored amino acids to bind in the primary specificity (S1) pocket. CONCLUSION: The importance of secondary subsites in defining both the specificity and efficiency of cleavage suggests that substrate recognition by PSA is mediated by an extended binding site. Elucidation of preferred subsite occupancy allowed refinement of the structural model of PSA and should facilitate the development of more sensitive activity-based assays and the design of potent inhibitors.

Amino Acid Sequence↗
PubMed1997

Does conformational free energy distinguish loop conformations in proteins?

Limitations in protein homology modeling often arise from the inability to adequately model loops. In this paper we focus on the selection of loop conformations. We present a complete computational treatment that allows the screening of loop conformations to identify those that best fit a molecular model. The stability of a loop in a protein is evaluated via computations of conformational free energies in solution, i.e., the free energy difference between the reference structure and the modeled one. A thermodynamic cycle is used for calculation of the conformational free energy, in which the total free energy of the reference state (i.e., gas phase) is the CHARMm potential energy. The electrostatic contribution of the solvation free energy is obtained from solving the finite-difference Poisson-Boltzmann equation. The nonpolar contribution is based on a surface area-based expression. We applied this computational scheme to a simple but well-characterized system, the antibody hypervariable loop (complementarity-determining region, CDR). Instead of creating loop conformations, we generated a database of loops extracted from high-resolution crystal structures of proteins, which display geometrical similarities with antibody CDRs. We inserted loops from our database into a framework of an antibody; then we calculated the conformational free energies of each loop. Results show that we successfully identified loops with a "reference-like" CDR geometry, with the lowest conformational free energy in gas phase only. Surprisingly, the solvation energy term plays a confusing role, sometimes discriminating "reference-like" CDR geometry and many times allowing "non-reference-like" conformations to have the lowest conformational free energies (for short loops). Most "reference-like" loop conformations are separated from others by a gap in the gas phase conformational free energy scale. Naturally, loops from antibody molecules are found to be the best models for long CDRs (> or = 6 residues), mainly because of a better packing of backbone atoms into the framework of the antibody model.

Antibodies↗
PubMed1993

Measurement of kinetic binding constants of viral antibodies using a new biosensor technology.

Association (ka) and dissociation (kd) rate constants of three monoclonal antibodies raised against tobacco mosaic virus were determined using a biosensor technique based on surface plasmon resonance (BIAcore, Pharmacia). Dissociation rates were constant over the 4-400 nM antibody concentration range whereas apparent association rates decreased over this range probably due to an increased saturation level of the antigen. Affinity constants K calculated from the ratio of ka/kd were in reasonable agreement with values obtained under equilibrium conditions by two standard methods based on enzyme immunoassay.

Antibodies, Monoclonal↗
PubMed1993

Correlation between the location of antigenic sites and the prediction of turns in proteins.

In the present study, we developed new turn scales based on the occurrence of amino acids at each of the four positions of a turn using a structural database comprised of 87 proteins. We found that the scales correctly predicted a fraction of the turn regions in proteins with approximately 80% confidence. We used the turn scales for predicting the location of antigenic sites in proteins. The method was developed with the specific aim of predicting only a few peaks for each protein (two or three). We found that it leads to a high level of accurate prediction (70% of correct prediction of known epitopes). Our method should be useful for selecting protein regions to be synthesized in order to produce anti-peptide antibodies cross-reacting with the parent protein.

Amino Acid Sequence↗
PubMed1993

PREDITOP: a program for antigenicity prediction.

A program (PREDITOP) for predicting the location of antigenic regions (or epitopes) on proteins is described. This program and the associated ones are written in Turbo Pascal and run on IBM-PC compatibles. The program contains 22 normalized scales, corresponding to hydrophilicity, accessibility, flexibility, or secondary structure propensities. New scales are easily implemented. An hydrophobic moment procedure has also been implemented in order to determine amphiphilic helices. The program generates a result file where the values represent a particular physicochemical aspect of the studied protein. PREDITOP can display one or several result files by simple graphical super-imposition. Curve combinations can be done by the ADDITIO or MULTIPLI routines which create a new result file by adding or multiplying previously calculated files representing several propensities. The program is useful and efficient for identifying potential antigenic regions in a protein with the aim of raising antibodies against synthesized peptides which cross-react with the native protein.

Antigens↗
PubMed1993

The Wilson disease gene is a copper transporting ATPase with homology to the Menkes disease gene.

Wilson disease (WD) is an autosomal recessive disorder characterized by the toxic accumulation of copper in a number of organs, particularly the liver and brain. As shown in the accompanying paper, linkage disequilibrium & haplotype analysis confirmed the disease locus to a single marker interval at 13q14.3. Here we describe a partial cDNA clone (pWD) which maps to this region and shows a particular 76% amino acid homology to the Menkes disease gene, Mc1. The predicted functional properties of the pWD gene together with its strong homology to Mc1, genetic mapping data and identification of four independent disease-specific mutations, provide convincing evidence that pWD is the Wilson disease gene.

Adenosine Triphosphatases↗
PubMed1992

Operational aspects of antibody affinity constants measured by liquid-phase and solid-phase assays.

The association constant of monoclonal antibodies (Mabs) to tobacco mosaic virus has been determined in solution and solid-phase binding assays. The ELISA equilibrium titration method developed by Friguet et al. (1985) was found to be suitable for large antigens such as viruses. In the case of intact IgG antibody, it gave equilibrium constant (K) values ca 30% lower than those obtained by classical solution-phase assay while in the case of Fab', the same values were obtained in both assays. Solid-phase binding assays gave higher K values than solution-phase assays by a factor which varied with the Mab tested (1.5- to 5.4-fold higher). Furthermore, in solution-phase assay, K values were found to depend on the antibody concentration used in the assay. These results confirm the operational nature of antibody affinity constants and indicate that in order to compare the affinity of different Mabs in a meaningful way, it is necessary to use a single technique under standardized conditions.

Antibodies, Monoclonal↗
PubMedDate not supplied

Unraveling the effect of changes in conformation and compactness at the antibody V(L)-V(H) interface upon antigen binding.

We have analyzed conformational changes that occur at the interface between the light (V(L)) and heavy (V(H)) chains in antibody variable fragments upon binding to antigens. We wrote and applied the Tiny Probe program that computes the buried atomic contact surface area of three-dimensional structures to evaluate changes in compactness of the V(L)-V(H) interface between bound and unbound antibodies. We found three categories of these changes, which correlated with the size of the antigen. Upon binding, medium-sized nonprotein antigens cause an opening of the V(L)-V(H) interface (less compact), small antigens or haptens cause a closure of the interface (more compact), whereas large protein antigens have little effect on the compactness of the V(L)-V(H) interface. The largest changes in the atomic buried contact surface area at the V(L)-V(H) interface occur in residue pairs providing two 'shock absorbers' between the edge beta-strands of the V(L) and V(H) beta-sheets forming the antibody binding site. Importantly, the correlation between the size of antigens and conformational changes indicates that the V(L)-V(H) interface in antibodies plays a significant role in the antigen binding process. Furthermore, as the energy involved in such a motion is significant (up to 3 kcal/mol), these results provide a general mechanism for how residues distant from the combining site can significantly alter the affinity of an antibody for its antigen. Thus, mutations introduced at the V(L)-V(H) interface can be used to change antibody binding affinity with antigens. Due to the tightly packed V(L)-V(H) interface, the introduction of random mutations is not advisable. Rather our analysis suggests that concerted mutations of residues preceding CDRL2 and following CDRH3 or residues preceding CDRH2 and at the end of CDRL3 are most likely to alter or improve antigen binding affinity.

Antigen-Antibody Reactions↗