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MULTIPRED2 is a computational system for facile prediction of peptide binding to multiple alleles belonging to human leukocyte antigen (HLA) class I and class II DR molecules.
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This approach to visualization allows simultaneous overview of predictions of binding to multiple HLA alleles.
Similarly, all of the DR binding predictions were selected as supertypes on the basis of predicted binding to multiple DR-alleles (individual predictions not shown).
The synthetic random copolymer of the amino acids, L-Glu, L-Lys, L-Ala and L-Tyr, termed GLAT, with promiscuous binding to multiple MHC class II alleles, reduces the incidence, onset and severity of disease in the BIO.D2 --> BALB/c mofelethalethal GVHD.
All peptides were predicted to be very promiscuous, binding to multiple (up to 9 in several cases) alleles.
Many proteins function by binding to multiple partners.
Secondly, owing to multiple alleles in multiple parents, the method can exploit gene resource more adequately, which will lay an important genetic groundwork for plant improvement.
This simple derivation of the Hardy-Weinberg principle deals with two alleles at a single locus, but can easily be extended to multiple alleles.
Proteins present in multiple alleles (like some of the proteins in the LMW glutenin group) were assigned to multiple alleles.
Also some of these measures are difficult to extend to multiple alleles and loci.
The large polymorphism in MHC class I alleles makes it likely that a single epitope precursor binds to multiple MHC alleles [ 44].
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