PubMed · 2620521
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
P Falagiani. 1989. Thimerosal in standard antigenic extracts.. https://doi.org/10.1111/j.1600-0536.1989.tb04769.x
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
We present a method for deriving shape space parameters that are consistent with immunological data, and illustrate the method by deriving shape space parameters for a model of cross-reactive memory. Cross-reactive memory responses occur when the immune system is primed by one strain of a pathogen and challenged with a related, but different, strain. Much of the nature of a cross-reactive response is determined by the quantity and distribution of the memory cells, raised to the primary antigen, that cross-react with the secondary antigen. B cells with above threshold affinity for an antigen lie in a region of shape space that we call a ball of stimulation. In a cross-reactive response, the intersection of the balls of stimulation of the primary and secondary antigens contains the cross-reactive B cells and thus determines the degree of cross-reactivity between the antigens. We derive formulas for the volume of intersection of balls of stimulation in different shape spaces and show that the parameters of shape space, such as its dimensionality, have a large impact on the number of B cells in the intersection. The application of our method for driving shape space parameters indicates that, for Hamming shape spaces, 20 to 25 dimensions, a three or four letter alphabet, and balls of stimulation of radius five or six, are choices that match the experimental data. For Euclidean shape spaces, five to eight dimensions and balls of stimulation with radius about 20% of the radius of the whole space, match the experimental data.
A method for defining and analysing a series of residue patches on the surface of protein structures is used to predict the location of protein-protein interaction sites. Each residue patch is analysed for six parameters; solvation potential, residue interface propensity, hydrophobicity, planarity, protrusion and accessible surface area. The method involves the calculation of a relative combined score that gives the probability of a surface patch forming protein-protein interactions. Predictions are made for the known structures of protomers from 28 homo-dimers, large protomers from 11 hetero-complexes, small protomers from 14 hetero-complexes, and antigens from six antibody-antigen complexes. The predictions are successful for 66% (39/59) of the structures and the remainder can usually be rationalized in terms of additional interaction sites.
Explore the source record for details and available documents.