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Updated: Jul 13, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
Published on: January 26, 2024
Amino acid partitioning using a Fiedler vector model
S J Shepherd1, C B Beggs, S Jones
1Medical Biophysics Group, School of Engineering, Design and Technology, University of Bradford, BD71DP Bradford, UK. S.J.Shepherd@Bradford.ac.uk
Abstract:
This paper presents a new Fiedler vector model for categorising amino acids, which is based on the Miyazawa-Jernigan matrix. The model splits the amino acid residues into two hydrophobic groups (LFI) and (MVWCY) and two polar groups (HATGP) and (RQSNEDK). In so doing, it independently confirms the findings of Wang and Wang and Cieplak et al. and demonstrates the validity of using eigenvectors to partition amino acid groups.
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