RESUMO
There are many challenges in the field of public health sciences. Rational decisions are required in order to treat different diseases, gain knowledge and wealth regarding research, and produce biological or synthetic products. Various advances in the basic laboratory science, computer science, and the engineering of biological production processes can help solve the occurring problems. Bioinformatics is defined as a field of science combined of biology, mathematics, physics, chemistry, and computer sciences. Recently, bioinformatics has been extensively used in the designing of the epitope, vaccines, antibodies, adjuvants, diagnostic kits, and therapeutic purposes (e.g., proteins, peptides, or small molecules). Moreover, bioinformatics includes chemoinformatics that has been employed to produce various biological or chemical products to target and combat pathogens. Bioinformatics is involved in other areas of data analysis and prediction, such as structural biology, system biology, phylogeny, population genetics, and next-generation data sequencing. To the best of our knowledge, no published study coherently described the benefits of bioinformatics fields applied for medication development or diagnostic aims in bio-productive and pharmaceutical/vaccine companies. Therefore, in the current review, we attempted to present the available bioinformatics resources, practical experiences, and other findings in the mentioned field along with providing a harmonized and applied model(s). The key points presented in the current review may help to elevate production and reduce the costs for the development of novel vaccines, medicines, and antibodies. In addition, these methods can facilitate the identification of organisms and may guarantee the quality of biological products.
