Background: The female Aedes aegypti mosquito is a vector of several arthropod-borne
viruses, such as Mayaro, Dengue, Chikungunya, Yellow Fever, and Zika. These viruses cause the
death of at least 600000 people a year and temporarily disable several million more around the
world. Up to date, there are no effective prophylactic measures that would prevent the contact and
bite of this arthropod and, therefore, its consequential contagion.
Objective: The objective of the present study was to search for the regularities of the proteins expressed
by these five viruses, at residues level, and obtain a “bioinformatic fingerprint” to select
Methods: We used two bioinformatic systems, our in-house bioinformatic system named Polarity
Index Method® (PIM®) supported at residues level, and the commonly used algorithm for the prediction
of intrinsic disorder predisposition, PONDR® FIT. We applied both programs to the 29 proteins
that express the five groups of arboviruses studied, and we calculated for each of them their
Polarity Index Method® profile and their intrinsic disorder predisposition. This information was
then compared with analogous information for other protein groups, such as proteins from bacteria,
fungi, viruses, and cell-penetrating peptides from the UniProt database, and a set of intrinsically disordered
proteins. Once the “fingerprint” of each group of arboviruses was obtained, these “fingerprints”
were searched among the 559228 “reviewed” proteins from the UniProt database.
Results: In total, 1736 proteins were identified from the 559228 “reviewed” proteins from the
UniProt database, with similar “PIM® profile” to the 29 mutated proteins that express the five
groups of arboviruses.
Conclusion: We propose that the “PIM® profile” of characterization of proteins might be useful for
the identification of proteins expressed by arthropod-borne viruses transmitted by Aedes aegypti