Peptide binding to major histocompatibility complex: prediction and characterization using an evolutionary algorithmic approach.
Rajapakse
Menaka
M
Lilly Singapore Center for Drug Discovery, Immunos, Singapore. rajapakseme@lilly.com
Feng
Lin
L
D000465:Algorithms; D000596:Amino Acids / Q000737:chemistry; D000818:Animals; D001185:Artificial Intelligence; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D000949:Histocompatibility Antigens Class II / Q000378:metabolism*; D006801:Humans; D057927:Hydrophobic and Hydrophilic Interactions; D008285:Major Histocompatibility Complex / Q000502:physiology*; D051379:Mice; D016688:Mice, Inbred NOD; D008954:Models, Biological; D008957:Models, Genetic; D018448:Models, Immunological; D010455:Peptides / Q000737:chemistry / Q000378:metabolism*; D015203:Reproducibility of Results; D013816:Thermodynamics
D000596:Amino Acids; D000949:Histocompatibility Antigens Class II; D010455:Peptides