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Given the broad range of potential epitopes within a protein, characterizing the breadth of epitopes recognized by a particular polyclonal response is quite challenging.
By combining our novel strategy with existing methods of epitope prediction based on physical properties of an individual protein, we believe that this method offers a robust method for characterizing the breadth of epitope-specificity within a specific polyserum.
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This novel algorithm provides the basis for further development of methods to characterize the breadth of epitope recognition within a complex pool of antibodies.
We have developed a novel algorithm based on pattern recognition theory that can be used to characterize the breadth of epitope specificities within a polyserum based on affinity selection of random peptides.
A possibility for improving the SPME technique is to use replicate samples with additional fiber types to better capture and characterize the breadth of compounds present.
Ideally, investigation of xenobiotic transformation is sufficiently comprehensive to characterize the breadth of metabolic products that can be derived from a chemical of interest, while also focused enough to robustly identify and quantitate the products.
Other approaches to characterize the breadth and specificity of CD8+ T cell responses include the use of epitope prediction algorithms and previously defined epitopes, of which many have been defined in HIV-infected subjects.
Herein, we characterize the breadth and extent of the protection afforded by isoflurane postconditioning in SAH – a unique acute cerebrovascular condition where delayed vascular pathological events play a dominant role in determining long-term patient outcome. 2 We also begin to elucidate the molecular mediator(s) of this neurovascular protective response.
Multiple cross-contour tows (15, from 10 to 30 m) on both cruise dates were used to characterize the variability across the breadth of the nearshore.
Of the 53 bacteria chosen to represent the breadth of the currently characterized eubacterial world, the three bacteria bearing the largest number of protein sequences scored as "best matches" with P. ingrahamii proteins are V. cholerae, S. oneidensis and C. psychrerythraea 34H (Table 3).
This understanding is especially important when characterizing synthetic polymers by MALDI-TOF-MS, due to the breadth of the polymer molecular mass distribution (MMD).
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CEO of Professional Science Editing for Scientists @ prosciediting.com