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Naeem A's Projects

abacapp icon abacapp

ABacAPP is a machine learning-based web application capable of predicting the antibacterial potency of any compound against β-lactamases (including β-lactamase, AmpC, Bla2, KPC-2, TEM-1, BRO-1, Class C, Class D, Type II, L1, NDM-1, SHV-1, SHV-5, OXA-1, and Metallo β-lactamase 1 and 2), DNA Gyrases (including DNA Gyrase, GyraseA, and GyraseB), Bacterial Dihydrofolate Reductases, and Penicillin-Binding Proteins (including 1B, 2, 2B, 2X, MecA, and D-alanyl-D-alanine carboxypeptidase).

maspa.py icon maspa.py

This is an ML-based app that predicts the risk of mastitis in cattle from simple easy-to-obtain udder & temperature sensor data.

mdm2pred icon mdm2pred

MDM2pred is a machine learning application based on the KNNRegressor algorithm, it's trained on 1647 known inhibitors of the human E3 ubiquitin ligase (Mouse Double Minute 2; MDM2), the primary negative regulator of the well-known tumor suppressor p53. The KNN model backing MDM2pred achieves ~0.74 R² on test compounds (cross-validated) and has an RMSE of ~0.70 (pIC50 unit), the application takes the SMILE of any compound and predicts its pIC50 against MDM2, returning the result as IC50.

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