PCA Analysis Service

PCA is mostly used as a tool in exploratory data analysis and building predictive models. It is often used to visualize genetic distance and relatedness between populations. PCA is either done by singular value decomposition of a design matrix or by the following 2 steps:


PCA analysis service Calculating the data covariance (or correlation) matrix of the original data.


PCA analysis service 1 Performing eigenvalue decomposition on the covariance matrix.

Principal component analysis:

  • Principal component analysis of protein.
  • Principal component analysis of ligand.
  • Principal component analysis of complex.

Our simulation services

Project name PCA analysis service
Samples requirement Please provide the original file after your calculation. For molecular dynamics service, please provide the initial structure of PDB ID.
Timeline 3-5 days.
Deliverables We provide you with raw data and calculation result analysis service.
Application A variant of principal components analysis is used in neuroscience to identify the specific properties of a stimulus that increase a neuron's probability of generating an action potential.
Price Inquiry

Why should we perform principal component analysis?

  • Principal component analysis can reduce the dimensionality of the data space under study.
  • Sometimes, through the conclusion of the factor load aij, some relationships between X variables can be clarified.
  • A graphical representation of multidimensional data.
  • Principal component analysis constructs a regression model.

PCA analysis service 2

Suitable systems for calculating PCA include but are not limited to:

  • DNA-small molecule interaction system
  • RNA-small molecule interaction system
  • Protein-protein interaction system

Our advantages

  • Molecular dynamics simulation saves a lot of labor costs.
  • Short calculation period and fast speed.
  • The funds required are far less than biological or chemical experiments.
  • High calculation accuracy.

PCA analysis service 4

CD ComputaBio provides corresponding PCA analysis services. Structure and function are the central issues of modern molecular biology. The interaction between molecules is the cornerstone of this axis problem. The interactions between molecules mainly include covalent bonds, ionic bonds, hydrogen bonds, van der Waals forces, hydrophobic interactions, etc. The CD ComputaBio team has been working in this field for more than ten years, and can provide you with accurate analysis of related forces. If you have needs in this regard, please feel free to contact us.

* For Research Use Only.