About us

We have modeled all Monkey Pox virus proteins in one database aimed to included in docken package to fast test or new compounds against all MOPO proteins.

We are an Egyptian team working to bridge the research gap that researchers lack using medical bioinformatics. The enormous genetic diversity of viruses, reflected in the amino acid sequence identity of less than 30% between previously identified and newly discovered viruses, poses challenges for sequence-based annotation and classification. On the other hand, protein structures have a direct impact on function and are therefore more conservative, making them useful for studying viral processes. Therefore, the availability of viral protein structures is important for viral annotation by revealing structural similarities. Thanks to recent advances in computational protein structure prediction, hundreds of millions of protein structures are now available through resources such as the AlphaFold Protein Structure Database (AFDB). The samples in the NCBI Protein Repository are a collection of sequences deposited from several sources, including translations from coding regions annotated in GenBank, RefSeq, and TPA, as well as records from SwissProt, PIR, PRF, and PDB. Protein sequences are the fundamental factors that determine biological structure and function. To address this problem, we developed MOPO as a comprehensive database derived from a large collection of viral proteins obtained from the NCBI Protein and AlphaFold Protein Structure Database (AFDB). MOPO consists of viral protein-derived data designed to serve as a comprehensive solution for the retrieval and analysis of viral proteins from all viral groups and species whose 3D structures have not been solved.

Future plans include regular updating and expansion of the dataset to include all information related to monkeypox virus and its species. Ultimately, a rapid and simplified method for identifying monkeypox proteins will help advance monkeypox research to serve a wide range of research and clinical applications.