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J C Cheetham

Publications and source records attributed to J C Cheetham.

9 recordsLinked to original sources
PubMed1992

Refinement of an enzyme complex with inhibitor bound at partial occupancy. Hen egg-white lysozyme and tri-N-acetylchitotriose at 1.75 A resolution.

The structure of the tri-N-acetylchitotriose inhibitor complex of hen egg-white lysozyme has been refined at 1.75 A resolution, using data collected from a complex crystal with ligand bound at less than full occupancy. To determine the exact value of the inhibitor occupancy, a model comprising unliganded and sugar-bound protein molecules was generated and refined against the 1.75 A data, using a modified version of the Hendrickson & Konnert least-squares procedure. The crystallographic R-factor for the model was found to fall to a minimum at 55% bound sugar. Conventional refinement assuming unit occupancy was found to yield incorrect thermal and positional parameters. Application of the same refinement procedures to an earlier 2.0 A data set, collected independently on different complex crystals by Blake et al. gave less consistent results than the 1.75 A refinement. From an analysis of the high resolution structure a detailed picture of the protein-carbohydrate interactions in the non-productive complex has emerged, together with the conformation and mobility changes that accompany ligand binding. The specificity of interaction between the protein and inhibitor, bound in subsites A to C of the active site, is seen to be generated primarily by an extensive network of hydrogen bonds, both to the protein itself and to bound solvent molecules. The latter also play an important role in maintaining the structural integrity of the active site cleft in the apo-protein.

Binding Sites↗
PubMed1991

Antigen mobility in the combining site of an anti-peptide antibody.

The interaction between a high-affinity antibody, raised against a peptide incorporating the loop region of hen egg lysozyme (residues 57-84), and a peptide antigen corresponding to this sequence, has been probed by proton NMR. The two-dimensional correlated spectroscopy spectrum of the antibody-antigen complex shows sharp, well-resolved resonances from at least half of the bound peptide residues, indicating that the peptide retains considerable mobility when bound to the antibody. The strongly immobilized residues (which include Arg-61, Trp-62, Trp-63, and Ile-78) do not correspond to a contiguous region in the sequence of the peptide. Examination of the crystal structure of the protein shows that these residues, although remote in sequence, are grouped together in the protein structure, forming a hydrophobic projection on the surface of the molecule. The antibody binds hen egg lysozyme with only a 10-fold lower affinity than the peptide antigen. We propose that the peptide could bind to the antibody in a conformation that brings these groups together in a manner related to that found in the native protein, accounting for the high crossreactivity.

Amino Acid Sequence↗
PubMed1991

Molecular modeling of antibody combining sites.

Each of the six CDRs of Gloop2 is shown with the modeled structure in. Overall, the results obtained using the combined algorithm are similar in accuracy to those achieved using the canonical method of Chothia et al. However, the canonical method is limited to those loops where the key residues identified by Chothia are present. With the number of antibody structures currently available, it is not possible to classify CDR-H3 into canonical ensembles. Additionally, a small percentage of examples in the remaining CDRs do not match the current canonical classifications and the protein engineer may well wish to mutate the key residues, precluding the use of Chothia's method for modeling the resulting conformation. Thus the best approach appears to be to use Chothia's method (at least to model the backbone conformation) when the loop to be modeled is represented in the database of canonical structures. Any other loops, either unrepresented among the known canonicals (including CDR-H3), or where mutations have been made to the key residues, may then be modeled by the combined algorithm presented here.

Algorithms↗
PubMed1990

Antibody-combining sites: prediction and design.

For maximum value, a predicted model of an antibody-combining site should have an accuracy approaching that of an X-ray structure (1.6-2.7 A). In addition, the method by which the combining site is modelled should make no demands on the user of a sort that require arbitrary or subjective decisions to be made during the process. We have made substantial progress towards this objective and some recent results are reviewed. In addition, we describe how the modelling protocols developed can aid in the design of novel features within the antibody-combining site. The particular design example reported here suggests an approach for the introduction of metal-binding sites to create metallo-antibodies. This type of modification may be useful in the design of immunobiosensors, the induction of catalytic activity or simply as an alternative to metal chelates in the preparation of antibodies for imaging.

Algorithms↗
PubMed1989

Modeling antibody hypervariable loops: a combined algorithm.

To be of any value, a predicted model of an antibody combining site should have an accuracy approaching that of antibody structures determined by x-ray crystallography (1.6-2.7 A). A number of modeling protocols have been proposed, which fall into two main categories--those that adopt a knowledge-based approach and those that attempt to construct the hypervariable loop regions of the antibody ab initio. Here we present a combined algorithm requiring no arbitrary decisions on the part of the user, which has been successfully applied to the modeling of the individual loops in two systems: the anti-lysozyme antibody HyHel-5, the crystal structure of which is as a complex with lysozyme [Sheriff, S., Silverton, E. W., Padlan, E. A., Cohen, G. H., Smith-Gill, S. J., Finzel, B. C. & Davies, D. R. (1987) Proc. Natl. Acad. Sci. USA 84, 8075-8079], and the free antigen binding fragment (Fab) of the anti-lysozyme peptide antibody, Gloop2. This protocol may be used with a high degree of confidence to model single-loop replacements, insertions, deletions, and side-chain replacements. In addition, it may be used in conjunction with other modeling protocols as a method by which to model particular loops whose conformations are predicted poorly by these methods.

Algorithms↗
PubMed1988

Engineering antibody affinity and specificity.

A combination of ab initio calculations, "knowledge-based prediction", molecular graphics and site-directed mutagenesis has enabled us to probe the molecular details of antibody:antigen recognition and binding and to alter the affinity and specificity of an antibody for its antigen. The significance of electrostatic hydrogen bonding, hydrophilic/hydrophobic patch matching and van der Waals interactions as well as CDR:CDR interactions are discussed in relation to the results of site-directed mutagenesis experiments on the anti-lysozyme antibody Gloop2. The ability to generate reconstructed antibodies, chimeric antibodies, catalytic antibodies and the use of modelled antibodies for the design of drugs is discussed.

Animals↗
PubMed1986

Molecular dynamics simulations of native and substrate-bound lysozyme. A study of the average structures and atomic fluctuations.

Molecular dynamics simulations of hen egg-white lysozyme in the free and substrate-bound states are reported and the nature of the average structures and atomic fluctuations are analyzed. Crystallographic water molecules of structural importance, as determined by hydrogen-bonding, were included in the simulations. Comparisons are made between the dynamics and the X-ray results for the atomic positions, the main-chain and side-chain dihedral angles, and the hydrogen-bonding geometry. Improvements over earlier simulations in the potential energy function and methodology resulted in stable trajectories with the C alpha co-ordinates within 1.5 A of the starting X-ray structure. Structural features analyzed in the simulations agreed well with the X-ray results except for some surface residues. The Asx chi 2 dihedral distribution and the geometry of hydrogen bonding at reverse turns show differences; possible causes are discussed. The relation between the magnitudes and time-scales of the residue fluctuations and secondary structural features, such as helices beta-sheets and coiled loops, is examined. Significant differences in the residue mobilities between the simulations of the free and substrate-bound states were found in a region of the enzyme that is in direct contact with the substrate and in a region that is distant from the active-site cleft. The dynamic behavior of the structural water molecules is analyzed by examining the correlation between the fluctuations of the water oxygens and the lysozyme heavy-atoms to which they are hydrogen-bonded.

Animals↗
PubMedDate not supplied

Generation of an antibody with enhanced affinity and specificity for its antigen by protein engineering.

A detailed description of the interactions between an antibody and its epitope is necessary to allow an understanding of the way in which antibodies bind to antigenic surfaces presented by foreign molecules. Ideally this should be done by analysis of crystal structures of antibody-antigen complexes, but so far only two of these are available. An alternative strategy combines molecular modelling with site-directed mutagenesis (SDM) and using this we have generated a preliminary model of the complex between Gloop2, an antibody raised against a peptide containing the 'loop' determinant of hen egg-white lysozyme (HEL) which also binds the native protein, and its epitope on the protein surface. The main predictions from our model were; (1) that the surface of interaction between the antibody and the antigen is large (20 A X 15 A) and involves all the complementarity-determining regions (CDRs), (2) that electrostatic interactions were important in the formation of the complex, and (3) that conformational changes in either the loop or in the CDRs may occur during the formation of the complex. Here we report SDM studies which test some of these predictions; removal of two charged residues at the periphery of the combining site increases the affinity of the antibody for its antigen over 8-fold and decreases its ability to cross-react with closely-related antigens. This result is at variance with our original prediction but can be accommodated within our newly refined model; the role of electrostatics in antigen-antibody interactions is now questionable.

Animals↗