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faba33dataprocessing's Introduction

FabA33DataProcessing

The data processing for the simulation data of Fab A33

Feature calculation of Fab A33

Content

SASA

Non-polar SASA

Sum of APR ΔSASA of the 7 APRs

Native contacts

RMSF

Net charges

Salt bridges

Hydrogen bonds

The rationale behind the molecular features selected for model building

Feature Rationale Action
SASA (global) SASA is a measure of how much of the area of a molecule is available to the solvent. The atomic SASA can be used as a measure of the steric availability of an atom. Calculate the polar SASA for all the atoms inside one residue and then plus them together to get a final polar SASA at a residue level. GROMACS
Non-polar SASA SASA-NP is the accessible surface area of all non-polar atoms. GROMACS + index file
APR APR score tells you which residue is most solvent accessible Comput Struct Biotechnol J. 2021; 19: 2726–2741. Cheng Zhang.
Fraction of native contacts The percentage of the contacts that exist within a native state in every frame MDanalysis package
RMSF It measures the fluctuation of an atom or e.g., a protein residue along the course of a simulation, and is useful to identify the most mobile regions GROMACS
Net charges It indicates the net charge of the protein at different pHs PropKa
Salt bridges It is the average of the salt bridge occurrence in the last 50ns MDanalysis
Hydrogen bonds It measures the number of hydrogen bonds over time GROMACS

Methods

Regression analysis

  • PCA

  • DCCM

  • Pearson correlation coefficient

Model building

Programming languages

Python

python packages

  • pandas
  • Dtale
  • re
  • fnmatch
  • lazy predict
  • seaborn
  • matplotlib.pyplot

R

R packages

TCL

Bash

faba33dataprocessing's People

Contributors

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