anticp3 1.1.1

Prediction of Anticancer Proteins using Finetuned ESM2 and BLAST

ANTICP3 — Anticancer Protein Prediction

ANTICP3 is a LLM-based tool for binary classification of proteins into Anticancer or Non-Anticancer classes, based solely on their primary amino acid sequences. It leverages the powerful ESM2-t33 transformer model, fine-tuned specifically for anticancer protein prediction.

Developed by Prof. G. P. S. Raghava's Lab, IIIT-Delhi
📄 Please cite: ANTICP3

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Features

• Fine-tuned ESM2 model for accurate prediction.
• Accepts input in FASTA format.
• Outputs CSV with predicted labels and probabilities.
• Supports CPU and CUDA for faster inference.
• Easy to integrate into pipelines and large-scale datasets.

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Model Details

• Base Model: facebook/esm2_t33_650M_UR50D
• Fine-Tuned On: Anticancer protein dataset
• Classification Type: Binary (Anticancer / Non-Anticancer)
• Output Format: CSV with prediction scores and labels

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Installation:

pip install anticp3