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Full-Text Articles in Bioinformatics

Mutation-Induced Changes In The Stability, B-Cell Epitope, And Antigenicity Of The Sars-Cov-2 Variant Spike Protein: A Comparative Computational Stud, Nira Meirita Wijayanti, Muhammad Hermawan Widyananda, Lailil Muflikhah, Nashi Widodo Aug 2023

Mutation-Induced Changes In The Stability, B-Cell Epitope, And Antigenicity Of The Sars-Cov-2 Variant Spike Protein: A Comparative Computational Stud, Nira Meirita Wijayanti, Muhammad Hermawan Widyananda, Lailil Muflikhah, Nashi Widodo

Karbala International Journal of Modern Science

The spike (S) protein is a major antigenicity site that targets neutralizing antibodies and drugs. The growing number of S protein mutations has become a severe problem for developing effective vaccines. Here, we investigated four severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants that were the most infectious and widespread during the COVID-19 pandemic to determine the trends and patterns of mutation-induced changes in the stability, B-cell epitope, and antigenicity of the SARS-CoV-2 S protein. The data showed that the Beta and Gamma variants had three mutations on the receptor-binding domain (RBD), which is the specific site on the S …


Biomarker Metabolite Discovery For Pancreatic Cancer Using Machine Learning, Immanuelle Kezia, Linda Erlina, Aryo Tedjo, Fadilah Fadilah Mar 2023

Biomarker Metabolite Discovery For Pancreatic Cancer Using Machine Learning, Immanuelle Kezia, Linda Erlina, Aryo Tedjo, Fadilah Fadilah

Indonesian Journal of Medical Chemistry and Bioinformatics

Pancreatic cancer is one of the deadliest cancers in the world. This cancer is caused by multiple factors and mostly detected at late stadium. Biomarker is a marker that can identify some diseases very specific. For pancreatic cancer, biomarker has been recognized using blood sample known as liquid biopsy, breath, pancreatic secret, and tumor marker CA19-9. Those biomarkers are invasive, so we want to identify the disease using a very convenient method. Metabolite is product from cell metabolism. Metabolites can become a biomarker especially from difficult diseases. In this paper, we want to find biomarker from metabolite using machine learning …