An optimized self-organizing map algorithm has been used to obtain protein topological
(proteinotopic) maps. A neural network is able to arrange a set of proteins depending on …

This article presents SOMCD, an improved method for the evaluation of protein secondary
structure from circular dichroism spectra, based on Kohonen's self‐organizing maps (SOM) …

In this paper a system based on Kohonen's SOM (Self-Organizing Map) for protein
classification according to Circular Dichroism (CD) spectra is described. As a result, proteins …

Different approaches to improve the analysis of protein secondary structure from circular
dichroism spectra are compared. Grouping proteins based on the similarity of their circular …

A new method based on neural network theory is presented to analyze and quantify the
information content of far UV circular dichroism spectra. Using a backpropagation network …

We have used the circular dichroism and infrared spectra of a specially designed 50 protein
database [Oberg, KA, Ruysschaert, JM & Goormaghtigh, E.(2003) Protein Sci. 12, 2015 …

Circular dichroism (CD) spectroscopy is a widely used method to study the protein
secondary structure. However, for decades, the general opinion was that the correct …

Using evolutionary information contained in multiple sequence alignments as input to neural
networks, secondary structure can be predicted at significantly increased accuracy. Here, we …

Background Circular dichroism spectroscopy is a widely used technique to analyze the
secondary structure of proteins in solution. Predictive methods use the circular dichroism …

Circular dichroism (CD) is a spectroscopic technique commonly used to investigate the
structure of proteins. Major secondary structure types, alpha‐helices and beta‐strands …