appnn: Prediction of the amyloidogenicity propensity for polypeptide...

In appnn: Amyloid Propensity Prediction Neural Network

Description

This function predicts the amyloidfogenicity propensity of polypeptide sequences through the amyloid propensity prediction neural network (APPNN).

Usage

## Default S3 method:
appnn(sequences)

Arguments

sequences

vector of sequences to submit to amyloidogenicity propension prediction neural network

Value

A list containing the amyloidogenicity propensity predictions for the polypeptides queried.

overall	The overall amyloidogenicity propensity prediction value for the sequence
aminoacids	The amyloidogenicity propensity prediction value per amino acid
hotspots	A list of the amyloidogenic hotspots predicted in the sequence, limited by the first and last amino acid

Author(s)

Carlos Fam<c3><ad>lia, Sarah R. Dennison, Alexandre Quintas, David A. Phoenix

Examples

sequences <- c('STVIIE','KKSSTT','KYSTVI')
predictions <- appnn(sequences)

Example output

appnn documentation built on May 1, 2019, 9:23 p.m.