# Comparison of Monkeypox and Wart DNA Sequences with Deep Learning Model
###### Abstract
This causes the analysis process to be long. For these reasons, researchers turn to alternative computer-based approaches with less error rate and prefer bioinformatics studies for this. The aim of this study is to suggest using a different method from these methods to avoid the confusions mentioned, and to apply bioinformatics approaches for this. In this way, confusion of the new monkeypox disease with warts will be prevented, the physicians' job will be easier, and the patients will not lose time in terms of treatment and diagnosis. For this, DNA sequences were used in the study and the distinction of these two diseases was made with an artificial intelligence technique. Today, the importance of studies based on bioinformatics and genomic signal processing has increased and it has been used effectively in health fields [8; 9]. Since monkeypox is a new disease, although there are not many studies in the field of bioinformatics, certain studies are available in the literature. The study [10] focused on the phylogenomic characterization and microevolutionary manifestations of the multi-country monkeypox virus outbreak. In the study, information about the clade and the origin information of the epidemic genome sequences were obtained. In study [11], a rapid detection method was developed for monkeypox using a recombinase polymerase amplification assay. The researchers reported that the specificity of their method was 100%, while the sensitivity was 95%. In the study [12], the researchers aimed to make a comparison of clinical data via qPCR using oropharyngeal swabs, lesion swabs, and blood. So, this study showed the reliability of cutaneous lesion samples of swabs with the observation of DNA for the detection of monkeypox, which is considered the gold standard for diagnostics. Some studies [13; 14; 15] related to the subject have focused on the importance of vaccines and various vaccine studies, especially with the effect of the COVID-19 epidemic. Two vaccines for monkeypox have been approved in the United States. The names of these vaccines are JYENNEOS and ACAM2000. Vaccines are licensed by the FDA. The vaccines are of the live-virus-containing type, and the live virus form in the JYENNEOS vaccine is administered as an injection 28 days apart. The ACAM2000 vaccine, on the other hand, is a percutaneous injection, and it takes four weeks to obtain the result. [PERSON] stated that the vaccines provide benefits for the monkeypox virus, unlike the COVID-19 pandemic [13]. Studies have generally recommended that vaccines should be avoided during pregnancy. Vaccination is recommended in the current outbreak, especially for those who have encountered confirmed case owners, including healthcare workers [14]. In some studies, in the literature, it has been revealed that the price of the vaccine is not a significant barrier to vaccination among doctors. Study [15] provides an Indonesian example of such a study. According to the information we have obtained from the research [16], the structure of most of the proteins of the monkeypox virus is not yet known. It has been found that the AlphaFold2 method is frequently used in the literature to obtain protein structures of virus proteomes. In this study, the protein structures of the proteome of the reference monkey flower were predicted with the AlphaFold2 method and 186 high-fidelity protein structures were obtained. To find solutions to the aforementioned problems, the BiLSTM (bidirectional long/short term memory) model, which is one of the deep learning models, was used in this study, and the DNA of viruses that cause monkeypox and warts were classified. The study consisted of four different stages. In the first stage, DNA sequences were obtained. In the second stage, DNA sequences were mapped using various DNA-mapping methods. These methods are atomic number, EIIP (electron ion interaction potential), integer number, real number, and molecular mass methods. Numerical expressions of DNA sequences were obtained through these methods and made ready for classification.