A fine-tuned ProtBert model designed for the prediction of anti-diabetic peptides from primary amino acid sequences.
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Updated
Jun 16, 2025 - Python
A fine-tuned ProtBert model designed for the prediction of anti-diabetic peptides from primary amino acid sequences.
PyTorch DNN/LSTM classifiers for anticancer peptides (ACP-740) with an LSTM-based synthetic sequence generator and t-SNE analysis.
Assignments Completed during BIO543:Big Data Mining in Healthcare Course in IIITD during Winter 2025 Semester. Professor: Gajendra P.S. Raghava
A Modular Nextflow Workflow for Reproducible Bioactive Peptide Classification
A Python demonstration of peptide sequence feature extraction and binary classification using synthetic data.
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