FMAPB2

FMAPB2 computes the osmotic second virial coefficient (B2) of protein–protein interactions using Fast Fourier Transform (FFT)–based evaluation of interaction energy functions.


Key Features:

  • FFT-Based Interaction Evaluation: Uses Fast Fourier Transform (FFT) to represent protein interaction energy terms as correlation functions for efficient computation.
  • Comprehensive Interaction Energy Modeling: Models steric repulsion, nonpolar attraction using the Lennard-Jones potential, and electrostatic interactions using the Debye–Hückel potential.
  • Mayer f-Function Integration: Calculates the osmotic second virial coefficient (B2) by integrating the Mayer f-function over translational and rotational configurational space between two protein molecules.
  • Solvent Condition Adaptability: Adjusts a parameter in the energy function to estimate B2 values under varying solvent conditions including salt concentration, pH, and temperature.

Scientific Applications:

  • Protein Solubility Prediction: Uses calculated B2 values to evaluate protein solubility under different solvent conditions.
  • Protein Crystallization and Aggregation Analysis: Predicts crystallization conditions and aggregation propensity of proteins.
  • Liquid–Liquid Phase Separation Studies: Estimates critical temperatures associated with protein liquid–liquid phase separation relevant to cellular compartmentalization and protein aggregation disorders.

Methodology:

FMAPB2 applies Fast Fourier Transform (FFT) to compute correlation functions representing steric, Lennard-Jones, and Debye–Hückel interaction energies, and integrates the Mayer f-function over translational and rotational configurational space of two protein molecules to calculate the osmotic second virial coefficient (B2).

Topics

Details

Tool Type:
web application
Added:
11/14/2019
Last Updated:
11/24/2024

Operations

Publications

Qin S, Zhou H. Calculation of Second Virial Coefficients of Atomistic Proteins Using Fast Fourier Transform. The Journal of Physical Chemistry B. 2019;123(39):8203-8215. doi:10.1021/acs.jpcb.9b06808. PMID:31490691. PMCID:PMC7032052.

PMID: 31490691
PMCID: PMC7032052
Funding: - National Institute of General Medical Sciences: GM118091