Molecular immunocomputing with application to alphabetical pattern recognition mimics the characterization of ABO blood type

We propose the concept of molecular immunocomputing which is a kind of peptide computing. Molecular immunocomputing is basically implemented by direct antigen-antibody biomolecular recognition on the basis of Fab fragments diversity. In this paper, we consider how molecular immunocomputing can tell the alphabet "O" from the characters "A" and "B" similar to the characterization of ABO blood type. To implement molecular immunocomputing, the two-dimensional figures are coded on the one-dimensional DNA strings. The information coded on the virtual DNA strings are transcribed to virtual RNA sequences, and then translated to the polypeptide sequences. The resulting peptide sequences are artificially synthesized and coupled to the carrier proteins. The resulting conjugate proteins are injected as input antigens to immunize the experimental animals. After immunization, we could purify the corresponding antibodies. These antibodies can be arrayed onto the protein microarray chips. The recent developments in the field of protein microarrays show the feasibility of molecular immunocomputing.