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M J Sternberg

Publications and source records attributed to M J Sternberg.

131 records · Page 8Linked to original sources

Structural and evolutionary analysis of HLA-D-region products.

The major histocompatibility complex (MHC)--HLA in man and H-2 in mouse--encodes two classes of cell-surface antigens involved in the immune response. The amino acid sequences have been determined for a number of these molecules. Class I antigens, typified by the HLA-ABC antigens, are composed of a 43,000-molecular weight (MW) glycosylated transmembrane polypeptide with three external domains (alpha 1, alpha 2 and alpha 3), of which the one nearest the membrane (alpha 3) is associated with a 12,000-MW nonglycosylated polypeptide, beta 2-microglobulin. The HLA-D-region or class II antigens, DR, DC and SB, are composed of two glycosylated transmembrane polypeptides, of MWs 34,000 (alpha-chain) and 28,000 (beta-chain). Both chains have two external domains which presumably associate with each other, alpha 2, beta 2 being membrane proximal and alpha 1, beta 1 N-terminal and membrane distal. All four membrane-proximal domains (class I alpha 3, beta 2-microglobulin, class II alpha 2 and beta 2) have amino acid sequences that show significant similarities with immunoglobulin constant-region domains. This, together with the similarly placed internal disulphide bonds, suggests they might have an immunoglobulin-like structure (Fig. 1). We have now used computer graphics techniques to predict a detailed three-dimensional structure for the membrane-proximal domains of the class II antigens (alpha 2 and beta 2) based on the known coordinates of immunoglobulin constant domains (Fig. 2). The transmembrane regions of class II antigens have been modelled as two alpha-helices packed together. The proposed structure accounts for conservation of amino acids and leads to evolutionary predictions.

Amino Acid Sequence↗

Knowledge-based prediction of protein structures and the design of novel molecules.

Prediction of the tertiary structures of proteins may be carried out using a knowledge-based approach. This depends on identification of analogies in secondary structures, motifs, domains or ligand interactions between a protein to be modelled and those of known three-dimensional structures. Such techniques are of value in prediction of receptor structures to aid the design of drugs, herbicides or pesticides, antigens in vaccine design, and novel molecules in protein engineering.

Amino Acid Sequence↗

Prediction of electrostatic effects of engineering of protein charges.

Accurate prediction of electrostatic effects on catalytic activity is an essential component of protein design. Site-directed mutagenesis of charged groups in subtilisin of Bacillus amyloliquefaciens has provided experimental measurements of electrostatic interactions which may be used to test such theoretical methods. The pKa of the histidine of the active site has been perturbed by +0.08 to -1.0 units by modifying one or two residues. Electrostatic effects in proteins can be modelled by the algorithm of Warwicker and Watson, which uses classical electrostatics and considers both the charge position and the shape of the molecule. Here we report that the algorithm can model several pKa shifts in subtilisin to fair accuracy.

Algorithms↗

Evaluation and improvements in the automatic alignment of protein sequences.

The accuracy of protein sequence alignment obtained by applying a commonly used global sequence comparison algorithm is assessed. Alignments based on the superposition of the three-dimensional structures are used as a standard for testing the automatic, sequence-based methods. Alignments obtained from the global comparison of five pairs of homologous protein sequences studied gave 54% agreement overall for residues in secondary structures. The inclusion of information about the secondary structure of one of the proteins in order to limit the number of gaps inserted in regions of secondary structure, improved this figure to 68%. A similarity score of greater than six standard deviation units suggests that an alignment which is greater than 75% correct within secondary structural regions can be obtained automatically for the pair of sequences.

Algorithms↗