HydroDisPred

Intrinsically Disordered Region Predictor

Citation: Singh, N. K., Bhardwaj, P., & Radhakrishna, M. (2023). Hydrophobicity—A Single Parameter for the Accurate Prediction of Disordered Regions in Proteins. Journal of Chemical Information and Modeling, 63(17), 5375-5383.

About HydroDisPred (HDP)

  • Algorithm: Uses hydrophobicity fraction (λ) to predict disordered regions
  • Critical Value: λC = 0.25 (regions with λ < 0.25 are disordered)
  • Segment Size: Δ = 10 residues
  • Accuracy: Comparable to machine learning approaches (PONDR, IUPred)

📊 Summary Statistics

📈 Disorder Prediction Plot

🔍 Identified Regions

Algorithm Parameters Used:

Hydrophobic residues: Val (V), Ile (I), Leu (L), Met (M), Phe (F), Tyr (Y), Trp (W)

Polar residues: Ser (S), Thr (T), Asn (N), Gln (Q)

Charged residues: Lys (K), Arg (R), His (H), Glu (E), Asp (D)

Others: Cys (C), Ala (A), His (H), Gly (G), Pro (P)