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The prediction and design of protein structures

1993
Prediction of three-dimensional protein structure from sequence alone is a classical problem of molecular biology. Progress with this problem has been slow over the last 20 years. Using evolutionary information in the form of sequence and structure alignments of related proteins opens up powerful new approaches that bring us closer to a solution.
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Progress in protein structure prediction

Current Opinion in Structural Biology, 1997
If protein structure prediction methods are to make any impact on the impending onerous task of analyzing the large numbers of unknown protein sequences generated by the ongoing genome-sequencing projects, it is vital that they make the difficult transition from computational 'gedankenexperiments' to practical software tools.
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Servers for protein structure prediction

Current Opinion in Structural Biology, 2006
The 1990s cultivated a generation of protein structure human predictors. As a result of structural genomics and genome sequencing projects, and significant improvements in the performance of protein structure prediction methods, a generation of automated servers has evolved in the past few years.
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Prediction of Protein Structure Classes

2015
Prediction of protein special structural plays a significant role to better recognize the protein folding patterns. Multiple prediction methods may be used to predict the structures based on the information of sequences and biostatistics. The accuracy, nevertheless, is strongly affected by the efficiency of classification, the robustness of model and ...
Wenzheng Bao   +4 more
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Prediction of Protein Structural Classes Based on Predicted Secondary Structure

2015
Prediction of protein structural classes is an important area in bioinformatics, it is beneficial to research protein function, regulation and interactions. In this paper, a 20-dimensional feature vector is extracted based on the predicted secondary structure sequence and the corresponding E-H sequence.
Fanliang Kong   +3 more
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Protein Secondary Structure Prediction with SPARROW

Journal of Chemical Information and Modeling, 2012
A first step toward predicting the structure of a protein is to determine its secondary structure. The secondary structure information is generally used as starting point to solve protein crystal structures. In the present study, a machine learning approach based on a complete set of two-class scoring functions was used.
Francesco Bettella   +2 more
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Advances in Protein Super-Secondary Structure Prediction and Application to Protein Structure Prediction

2019
Due to the advancement in various sequencing technologies, the gap between the number of protein sequences and the number of experimental protein structures is ever increasing. Community-wide initiatives like CASP have resulted in considerable efforts in the development of computational methods to accurately model protein structures from sequences ...
Elijah, MacCarthy   +2 more
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Prediction of protein structure and AI

Journal of Human Genetics
AlphaFold, an artificial intelligence (AI)-based tool for predicting the 3D structure of proteins, is now widely recognized for its high accuracy and versatility in the folding of human proteins. AlphaFold is useful for understanding structure-function relationships from protein 3D structure models and can serve as a template or a reference for ...
Shiho Ohno   +2 more
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Protein Secondary Structure Prediction

2009
While the prediction of a native protein structure from sequence continues to remain a challenging problem, over the past decades computational methods have become quite successful in exploiting the mechanisms behind secondary structure formation. The great effort expended in this area has resulted in the development of a vast number of secondary ...
Pirovano, W.A., Heringa, J.
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Protein Structure Prediction Methods

Protein structure prediction, a fundamental challenge emerging from the protein folding problem, forms the basis of modern computational biology. This field addresses the critical question of how the amino acids sequence determines its three-dimensional structure, a relationship critical to understanding biological function. Over the last four decades,
Samantha K, Teixeira   +4 more
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