Abstract:
Aspergillus spp. is a type of fungi that can contaminate and damage various types of food and agricultural products. To better understand the structure and function of proteins, in silico research was conducted using Internal Transcribed Spacer (ITS) primers and SWISS Model protein prediction tools. The objective of this study was to identify fungal species using the BLAST method and to analyze the structure and function of proteins from Aspergillus spp. The methods used included BLAST for species identification, Web Expasy to translate DNA sequences into proteins, SWISS Models to model protein structures, SAVES to validate protein structures, and STRING to analyze the function of proteins. The results of the BLAST analysis showed that the identified fungal species were Aspergillus flavus, A. tamarii, and A. nomius. Furthermore, the results of translating DNA sequences into proteins using Web Expasy showed that there were three open reading frames with the highest residual values of 119 and 83, while the lowest residual value was 4. Only two of these frames met the protein criteria. Moreover, the results of protein structure modeling using the SWISS Model method produced a fairly accurate Aspergillus spp. protein structure model with a validation value of protein structure using ERRAT (SAVES V6.0) of 100%. Additionally, the results of protein function analysis using STRING showed that the Aspergillus spp. protein has a function in producing enzymes that play a role in the metabolic process of cells.
