A computerized version of the Chou and Fasman method for predicting the secondary structure of proteins.

نویسندگان

  • G Deleage
  • B Tinland
  • B Roux
چکیده

A novel computerized program has been developed for predicting the secondary structure of proteins from their amino acid sequences. The scheme of the Chou and Fasman method (1978, Adv. Enzymol. Relat. Subj. Biochem. 47, 45-148) is closely followed. Some of their qualitative rules have been converted to numeric scales to obtain unambiguous predictions. This program has been tested on 21 proteins with known three-dimensional structures constituting a 4457 amino acids data base. The percentage of correctly predicted amino acids is between 41 and 66% for a three-state (helix, sheet, and coil) description of protein secondary structure.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Why the Chou-Fasman parameters are not reliable in protein secondary structure prediction Keywords: Chou-Fasman parameters / Protein prediction / Secondary structure

The Chou-Fasman method has been a widely used method for protein secondary structure prediction. This method is based on knowledge about amino acid residues potential to form αhelical regions or β-sheet regions in proteins. Our main interest in this study was to examine the reliability of these Chou-Fasman parameters. We have calculated the Chou-Fasman parameters, with 95% confidence limits, ou...

متن کامل

Design and Implementation of a Neural Network For the Evaluation of Protein Secondary Structure Prediction Using the DSSP and Chou-Fasman Algorithms

Neural networks have conventionally been used to predict protein secondary structure. However, they have not been used to improve the predictions of existing methods. This paper presents the design and implementation of a neural network to refine secondary structure prediction using information obtained from the DSSP and Chou-Fasman algorithms. The network was trained with input patterns consis...

متن کامل

A simple method for predicting the secondary structure of globular proteins: implications and accuracy

A method is presented for predicting the secondary structure of globular proteins from their amino acid sequence. It is based on a rigorous statistical exploitation of the well-known biological fact that the amino acid compositions of each secondary structure are different. We also propose an evaluation process that allows us to estimate the capacity of a method to predict the secondary structu...

متن کامل

Using Knowledge-Based Neural Networks to Improve Algorithms: Re ning the Chou-Fasman Algorithm for Protein Folding

We describe a method for using machine learning to re ne algorithms represented as generalized nite-state automata. The knowledge in an automaton is translated into an arti cial neural network, and then re ned with backpropagation on a set of examples. Our technique for translating an automaton into a network extends kbann, a system that translates a set of propositional rules into a correspond...

متن کامل

Refining Algorithms with Knowledge-Based Neural Networks: Improving the Chou-Fasman Algorithm for Protein Folding*

We describe a method for using machine learning to refine algorithms represented as generalized finite-state automata. The knowledge in an automaton is translated into a corresponding artificial neural network, and then refined by applying backpropagation to a set of examples. Our technique for translating an automaton into a network extends the KBANN algorithm, a system that translates a set o...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Analytical biochemistry

دوره 163 2  شماره 

صفحات  -

تاریخ انتشار 1987