PHEMTO
PHEMTO computes pH-dependent electric and dipole moments and analyzes protein electrostatic characteristics to assess molecular recognition and the effects of charge mutagenesis.
Key Features:
- Electric and dipole moment computation: Computes electric and dipole moments from protein atomic coordinates.
- Singular value decomposition of EP: Implements singular value decomposition (SVD) of electrostatic potential (EP) to account for reaction field influences.
- pH-dependent properties: Evaluates global and local pH-dependent properties using mean field electrostatics and approaches from PHEI and the PHEPS server.
- In silico charge mutagenesis: Performs in silico charge mutagenesis to predict impacts on protein electrostatic characteristics.
- Non-polypeptide charge support: Allows inclusion of non-polypeptide charges in the electrostatic calculations.
- PDB input: Accepts atomic coordinate files in Protein Data Bank (PDB) format.
- Computational performance: Implements algorithms optimized for computational speed and efficiency.
Scientific Applications:
- Protein–ligand interactions: Analyzes electrostatic contributions to protein–ligand binding and molecular recognition.
- Enzyme catalysis: Assesses pH-dependent electrostatic effects relevant to enzyme catalytic mechanisms.
- Structural biology: Provides electrostatic insights to support interpretation of structural data and experimental planning.
- Drug design: Predicts how pH changes and charge mutations alter interaction surfaces relevant to drug design.
Methodology:
Uses mean field electrostatics and singular value decomposition of electrostatic potential (EP) to account for reaction field effects; requires atomic coordinate input in PDB format; algorithms are optimized for speed and efficiency.
Topics
Details
- Tool Type:
- web application
- Added:
- 2/14/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Kantardjiev AA and Atanasov BP. PHEMTO: protein pH-dependent electric moment tools. Nucleic Acids Res. 2009; 37:W422-7. doi: 10.1093/nar/gkp336
PMID: 19420068