miRBind2: miRNA-mRNA Target Site Predictor

Predict miRNA-mRNA target sites using deep learning with explainability.

Model: miRBind2 v1.0

Input Sequences

Instructions:

  1. Enter your miRNA sequence (RNA or DNA notation accepted)
  2. Enter your mRNA target sequence
  3. Check SHAP box for detailed explainability (recommended)
  4. Click 'Predict Binding'

Sequence length: miRNA is padded/trimmed to 28 nt, mRNA to 50 nt. Sequences longer than these limits are trimmed from the 3′ end; shorter sequences are padded with N.

Results

Sequence Explainability

SHAP Explainability Heatmap (Position Pairs)

SHAP-Guided Alignment View

About

miRBind2 uses a convolutional neural network trained on CLIP experimental data to predict miRNA-mRNA target sites. The model learns complementarity patterns between miRNA and target sequences.

GitHub: BioGeMT/miRBind_2.0

Device: cpu