Penicillin-Binding Proteins are peptidases that play an important role in cell-wall biogenesis in bacteria and thus maintaining bacterial infections. A wide class of β-lactam drugs are known to act on these proteins and inhibit bacterial infections by disrupting the cell-wall biogenesis pathway. Penicillin-Binding proteins have recently gained importance with the increase in the number of multi-drug resistant bacteria. In this work, we have collected a dataset of over 700 Penicillin-Binding and non-Penicillin Binding Proteins and extracted various sequence-related features. We then created models to classify the proteins into Penicillin-Binding and non-binding using supervised machine learning algorithms such as Support Vector Machines and Random Forest. We obtain a good classification performance for both the models using both the methods.

Key Clinical MessageCholedochoduodenal fistula (CDF) is an abnormal communication between the choledochus and the duodenum, accounts for 5–25% of all internal biliary fistulas. Here, we report a case of CDF secondary to chronic duodenal ulcer who presented with cholangitis. CDF is suspected in case of pneumobilia, and surgery is recommended for refractory cases.

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