Fasgai

A data frame of six Fasgai vectors for 20 amino acids.

datasets

Given a protein multiple sequence alignment, it is daunting task to assess the effects of substitutions along sequence length. 'aaSEA' package is intended to help researchers to rapidly analyse property changes caused by single, multiple and correlated amino acid substitutions in proteins. Methods for identification of co-evolving positions from multiple sequence alignment are as described in : Pel<c3><a9> et al., (2017) <doi:10.4172/2379-1764.1000250>.

Raja Reddy D.M

aaSEA

Amino Acid Substitution Effect Analyser

Fasgai function

A data frame with 20 rows and 6 columns representing amino acids and Fasgai vectors:<dl class="dl-horizontal">
 <dt></dt><dd>Names of amino acids</dd>
 <dt>F1</dt><dd>Hydrophobicity index</dd>
 <dt>F2</dt><dd>Alpha and turn propensities</dd>
 <dt>F3</dt><dd>Bulky properties</dd>
 <dt>F4</dt><dd>Compositional characteristic index</dd>
 <dt>F5</dt><dd>Local flexibility</dd>
 <dt>F6</dt><dd>Electronic properties</dd>
 ...
</dl>

Format

A data frame of six Fasgai vectors for 20 amino acids. — Fasgai

A data frame with 20 rows and 6 columns representing amino acids and Fasgai vectors:<dl class='dl-horizontal'>
 <dt></dt><dd>Names of amino acids</dd>
 <dt>F1</dt><dd>Hydrophobicity index</dd>
 <dt>F2</dt><dd>Alpha and turn propensities</dd>
 <dt>F3</dt><dd>Bulky properties</dd>
 <dt>F4</dt><dd>Compositional characteristic index</dd>
 <dt>F5</dt><dd>Local flexibility</dd>
 <dt>F6</dt><dd>Electronic properties</dd>
 ...
</dl>

Fasgai: A data frame of six Fasgai vectors for 20 amino acids.

Description

Usage

Arguments

Format