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Discovering the informational rule(s) underlying structure-function relationships in the protein language is at the core of biology. Current theories have proven inadequate to explain the origins of biological information such as that found in nucleotide and amino acid sequences. Here, we demonstrate that the information content of an amino acid motif correlates with the motif rarity. A structured analysis of the scientific literature supports the theory that rare pentapeptide words have higher significance than more common pentapeptides in biological cell 'talk'. This study expands on our previous research showing that the immunological information contained in an amino acid sequence is inversely related to the sequence frequency in the host proteome., (Copyright (c) 2010 Elsevier Inc. All rights reserved.)

The proteomes catalogued in the UniRef100 database were collected into a single proteome set and examined for actual versus theoretical pentapeptide occurrences. We found a highly diversified degree of pentapeptide redundancy. Numerically, 953 pentamers are expressed only once in the protein world, whereas 103 pentamers occur more than 50,000 times. Moreover, it seems that 417 potentially possible pentapeptides are not present in the protein world. On the whole, tracing the redundancy profile of the protein world as a function of pentapeptide occurrences reveals a quasi-Gaussian curve, with tails representing scarcely and repeatedly occurring 5-mers. Analysis of physico-chemical-biological parameters shows that codon number is the main factor influencing and favoring specific pentapeptide frequencies in the universal proteome composition. That is, when compared to the set of never-expressed 5-mers, the pentapeptides frequently represented in the universal proteome are endowed with a higher number of multi-codonic amino acids. In contrast, the bulkiness degree and the hydrophobicity level play a smaller role. Unexpectedly, the heat of formation of pentapeptide appears to have the least influence.

Thirty viral proteomes were examined for amino acid sequence similarity to the human proteome, and, in parallel, a control of 30 sets of human proteins was analyzed for internal human overlapping. We find that all of the analyzed 30 viral proteomes, independently of their structural or pathogenic characteristics, present a high number of pentapeptide overlaps to the human proteome. Among the examined viruses, human T-lymphotropic virus 1, Rubella virus, and hepatitis C virus present the highest number of viral overlaps to the human proteome. The widespread and ample distribution of viral amino acid sequences through the human proteome indicates that viral and human proteins are formed of common peptide backbone units and suggests a fluid compositional chimerism in phylogenetic entities canonically classified distantly as viruses and Homo sapiens. Importantly, the massive viral to human peptide overlapping calls into question the possibility of a direct causal association between virus-host sharing of amino acid sequences and incitement to autoimmune reactions through molecular recognition of common motifs.

Alignment of protein sequences is fundamental in analyzing homology, evolutionary events and functional relationships. Searching for the epitopic peptide platform underlying hepatitis C virus (HCV) infection and autoimmune phenomena, we have used sequence-sequence peptide matching to compare the HCV polyprotein sequence to the human proteome. The following results were obtained: (1) pentamers from HCV polyprotein have a widespread and high level of similarity to a large number of human proteins (19,605 human proteins, that is 57.6% of the human proteome); (2) remarkable similarity between the two proteomes persists even using longer peptide motifs as probes for identity scanning; (3) only a limited number of HCV pentameric fragments have no similarity to the human host, so representing molecular sequence signatures of the virus. We conclude that the widespread sharing of numerous perfect exact matches between HCV and human proteomes might explain HCV persistence in humans.

We have mapped the linear antigenic determinant of a commercial MAb raised in the mouse against the melanoma-associated-antigen Melan-A/MART-1. The B cell epitope on the Melan-A/MART-1 oncoprotein is located in the 15-mer amino acid sequence 101-115 PPAYEKLSAEQSPPP, within residues 102-106. The definition of the antigenic sequence on Melan-A/MART-1 oncoprotein was reached following analyses of MHC II binding potential and similarity level to the mouse proteome, that put into evidence the 15-mer amino acid sequence 101-115 PPAYEKLSAEQSPPP as the top scoring peptide in binding H2-A(d) molecules and the epitopic sequence residues 102-106 (i.e., the peptide sequence PAYEK) as having low-similarity level to the mouse proteome. Dot-blot epitope mapping immunoassay identified proline residue 102 as critical, based on its effect on antibody recognition. The present study adds to previous companion reports in validating the hypothesis that low-similarity to the host's proteome and binding potential to MHC II molecules are essential concurring factors in the modulation of the pool of epitopic sequences.

A proteomics-based approach was exploited in order to individuate peptide sequences having the immunogenic potential to evoke humoral response. The epitope search utilized two parameters: the similarity level of the peptide sequence to the host's proteins, and the peptide capability to bind to the major histocompatibility complex class II molecules. By this approach, the human papillomavirus 16 E7(49-63) RAHYNIVTFCCKCDS peptide was individuated as the immunogenic epitope recognized by an anti-HPV16 E7 monoclonal antibody raised against the full-length viral oncoprotein. In this report, two-dimensional nuclear magnetic resonance spectroscopic experiments unequivocally probe the HPV16 E7 epitope individuation.

With the aid of computational biology, we have studied the possibility of predicting the peptides able to evoke humoral immune response by using as experimental model the human HER-2/neu breast cancer-associated antigen. We already demonstrated that HER-2/neu peptides, that are the target of humoral human and mouse immune responses, correspond to those sequences having a low degree of sequence similarity to host's proteome. Here we report that the linear peptide determinant of the anti-HER-2/neu MAb-3 is characterized by a low degree of sequence similarity to mouse proteome in combination with high binding potential to specific MHC II molecule.

We applied computational biology to identify the linear amino acid sequence recognized by a mouse monoclonal antibody raised against the full length HPV16 E7 oncoprotein. Computer-assisted search for the epitopic peptide used two parameters: the capability of E7 peptides to bind to MHC class II molecules, and the similarity level of the oncoprotein sequence to the mouse proteome. We report that anti-E7 mAb recognized the peptide having both high binding potential to MHC II molecules and low level of molecular mimicry to mouse proteome. Peptide ability to bind to MHC II molecules appears a necessary but not sufficient condition to determine peptide immunodominance, by needing to be supported by a low degree of peptide similarity to the host's proteome.

We have analyzed sequence homologies between nonimmunogenic phage displayed peptides mimicking GD3 ganglioside and human/mouse self-proteins. The GD3 ganglioside phagotopes showed homology to proteins involved in carbohydrate metabolism/transport. Besides this expected homology, molecular mimicry of critical regulatory proteins was found. These data contribute to our understanding of the structural relatedness of antigenic determinants defined by specific anti-GD3 monoclonal antibodies and, in addition, suggest that molecular mimicry might explain the nonimmunogenicity of these peptides otherwise characterized by specificity to the mAb counterpart. We conclude that construction of peptides harboring motifs absent or scarcely represented in endogenous self-proteins might be a useful approach in melanoma immunotherapy.