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Protein Secondary Structure

The architectural network for protein secondary structure prediction

The architectural network for protein secondary structure prediction

... improve protein secondary structure prediction ...other secondary structure. This sequence structure relationship may help to help to developed tool which can efficiently predict ...

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Web Server for Protein Secondary Structure Prediction

Web Server for Protein Secondary Structure Prediction

... Výstupem aplikace je výsledek predikce, který je opět k dispozici jako text nebo soubor ke stažení. Abstract This master’s thesis deals with protein secondary structure prediction. There is a ...

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Protein secondary structure prediction with classifier fusion

Protein secondary structure prediction with classifier fusion

... In protein secondary structure pre- diction problem local alignments are preferred because they capture more information about distantly related ...

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Role of Hydrogen Bonding on Protein Secondary Structure Introduction

Role of Hydrogen Bonding on Protein Secondary Structure Introduction

... on Protein Secondary Structure Introduction The function and chemical properties of proteins are determined by its three-dimensional ...the protein begins with the linear assortment of amino ...

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Evolving Hidden Markov Models for Protein Secondary Structure Prediction

Evolving Hidden Markov Models for Protein Secondary Structure Prediction

... of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm ...for protein secondary structure ...

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CASP Targets Are Reliable Test For a Protein Secondary Structure Classifier

CASP Targets Are Reliable Test For a Protein Secondary Structure Classifier

... predicting protein secondary structure from amino acid sequences has been proposed and implemented in a previous ...of protein secondary structure ...for Structure ...

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A Data Oriented Approach to Assess the Accuracy of a Protein Secondary Structure Predictor

A Data Oriented Approach to Assess the Accuracy of a Protein Secondary Structure Predictor

... of protein secondary structure prediction use typical three states of secondary structures, namely: alpha helices (H) beta strands (E), and coils ...proteins. Protein secondary ...

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PCI-SS: MISO dynamic nonlinear protein secondary structure prediction.

PCI-SS: MISO dynamic nonlinear protein secondary structure prediction.

... and protein structure classifiers are built using 2 layers of PCI ...new protein chains guaranteed to be dissimilar to all training ...other secondary structure prediction methods, here ...

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A Protein Secondary Structure Prediction Method Based on BP Neural Network

A Protein Secondary Structure Prediction Method Based on BP Neural Network

... Protein secondary structure prediction is a hotspot issue in bioinformatics, it is not only the bond between the primary structure and the tertiary structure of proteins, but also key ...

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Protein Secondary Structure Prediction using Pattern Recognition Neural Network

Protein Secondary Structure Prediction using Pattern Recognition Neural Network

... their structure and thereafter their function has been christened the Holy Grail of structural ...Successful secondary structure prediction provides a starting point for direct tertiary ...

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Protein secondary structure prediction using neural networks and deep learning: a review

Protein secondary structure prediction using neural networks and deep learning: a review

... to protein secondary structure and artificial neural networks is also included for ...improve protein secondary structure pre- diction ...better protein secondary ...

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Predicting protein secondary structure using artificial neural networks and information theory

Predicting protein secondary structure using artificial neural networks and information theory

... Protein secondary structure prediction is a prerequisite step in determining the 3D structure of a ...of protein secondary structure has been proposed and implemented ...

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Jeeva: Enterprise Grid-enabled Web Portal for Protein Secondary Structure Prediction

Jeeva: Enterprise Grid-enabled Web Portal for Protein Secondary Structure Prediction

... the protein secondary structure prediction was set in an enterprise Grid consisting of 37 nodes drawn from three student laboratories in the University of ...

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Protein Secondary Structure Prediction using an Optimised Bayesian Classification Neural Network

Protein Secondary Structure Prediction using an Optimised Bayesian Classification Neural Network

... the accumulation of small improvements, which can be combined together to make a larger improvement. 6 CONCLUSIONS The results obtained show that Bayesian neural networks can be used to predict the protein ...

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Protein Secondary Structure Prediction Using RT-RICO: A Rule-Based Approach

Protein Secondary Structure Prediction Using RT-RICO: A Rule-Based Approach

... It is not an easy task to evaluate the performance of a protein secondary structure prediction method. For example, the use of different datasets for training and testing each algorithm makes it ...

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Fast learning optimized prediction methodology (FLOPRED) for protein secondary structure prediction

Fast learning optimized prediction methodology (FLOPRED) for protein secondary structure prediction

... available protein sequences and a slower growth in the number of ...predicting protein secondary structure, using knowledge-based potentials combined with structure information from the ...

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Toward a Database of Geometric Interrelationships of Protein Secondary Structure Elements for De Novo Protein Design, Prediction and Analysis

Toward a Database of Geometric Interrelationships of Protein Secondary Structure Elements for De Novo Protein Design, Prediction and Analysis

... of secondary structures to aid our efforts in protein design, structure analysis and structure ...with protein secondary structure geometry and sequence ...by ...

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Protein secondary structure prediction from amino acid sequence using artificial intelligence technique

Protein secondary structure prediction from amino acid sequence using artificial intelligence technique

... The work of Qian and Sejnowski (1988) sparked the implementation of neural networks in the domain of protein secondary structure prediction. The information theory is a naive statistical method that ...

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SSNN, a method for neural network protein secondary structure fitting using circular dichroism data

SSNN, a method for neural network protein secondary structure fitting using circular dichroism data

... average secondary structures of proteins, probe their interactions with their environment, and aid in drug ...(SOM) structure-fitting methodology named Secondary Structure Neural Network ...

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Protein secondary structure prediction using BLAST and relaxed threshold rule induction from coverings

Protein secondary structure prediction using BLAST and relaxed threshold rule induction from coverings

... of protein secondary structure prediction methods; that is, there are some relationships between secondary structure elements and their neighboring amino acid ...the secondary ...

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