Add to ORKGIn this paper, a two-stage neural network consisting of a feed-forward neural network and a Kohonen self-organizing map, has been used to predict secondary structure. We have applied our methods to determine the structure of 245 proteins containing neurotoxins, cytotoxins, cardiotoxins and three-finger toxins, derived from venoms of Elapid snakes. In doing so, the system achieved a Q3 score of 70%, which is quite remarkable
Objectives: Various types of venoms are being produced by different toxic species which make mild or...
The effect of training a neural network secondary structure prediction algorithm with different type...
Using neural networks to predict the structure of proteins from amino acid sequences is a very commo...
In this paper, a two-stage neural network consisting of a feed-forward neural network and a Kohonen ...
A method for protein secondary structure prediction based on the use of artificial neural networks (...
Protein is considered the backbone of any human being. Protein is responsible for many functionaliti...
Protein is considered the backbone of any human being. Protein is responsible for many functionaliti...
This project applied artificial neural networks to the field of secondary structure prediction of pr...
Literature contains over fifty years of accumulated methods proposed by researchers for predicting t...
Protein secondary structure is an immense achievement of bioinformatics. It's an amino acid residue ...
Proteins are the basic building blocks of biological organisms, and are responsible for a variety of...
Circular dichroism spectroscopy is a quick method for determining the average secondary structures o...
Summary: The back-propagation neural network algorithm is a commonly used method for predicting the ...
A two-stage neural network has been used to predict protein secondary structure based on the positio...
Precise prediction of protein secondary structures from the associated amino acids sequence is of gr...
Objectives: Various types of venoms are being produced by different toxic species which make mild or...
The effect of training a neural network secondary structure prediction algorithm with different type...
Using neural networks to predict the structure of proteins from amino acid sequences is a very commo...
In this paper, a two-stage neural network consisting of a feed-forward neural network and a Kohonen ...
A method for protein secondary structure prediction based on the use of artificial neural networks (...
Protein is considered the backbone of any human being. Protein is responsible for many functionaliti...
Protein is considered the backbone of any human being. Protein is responsible for many functionaliti...
This project applied artificial neural networks to the field of secondary structure prediction of pr...
Literature contains over fifty years of accumulated methods proposed by researchers for predicting t...
Protein secondary structure is an immense achievement of bioinformatics. It's an amino acid residue ...
Proteins are the basic building blocks of biological organisms, and are responsible for a variety of...
Circular dichroism spectroscopy is a quick method for determining the average secondary structures o...
Summary: The back-propagation neural network algorithm is a commonly used method for predicting the ...
A two-stage neural network has been used to predict protein secondary structure based on the positio...
Precise prediction of protein secondary structures from the associated amino acids sequence is of gr...
Objectives: Various types of venoms are being produced by different toxic species which make mild or...
The effect of training a neural network secondary structure prediction algorithm with different type...
Using neural networks to predict the structure of proteins from amino acid sequences is a very commo...