Results 251 to 260 of about 11,591,695 (294)

Improving the accuracy of secondary structure predictions

Biochimie, 1982
Resume Le present article etudie la facon dont les differents types d'interactions qui interviennent au cours du repliement des proteines peuvent etre introduites dans un processus de prediction de structures secondaires et essaie d'evaluer l'amelioration qui peut en resulter.
B, Busetta, M, Hospital
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SSPT: Secondary Structure Prediction Triangle

2009 IEEE/ACS International Conference on Computer Systems and Applications, 2009
In this paper, a novel technique, namely SSPT, is introduced to predict the secondary structure (SS) of a protein just based on its primary structure. In the training phase of this technique, a novel training tool (secondary structure triangle) is trained to reflect the tendency of overlapping small amino acid windows of a sequence toward three SS ...
Javid Taheri, Albert Y. Zomaya
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Evaluation of secondary structure predictions in proteins

Biochimica et Biophysica Acta (BBA) - Protein Structure, 1977
Data of 33 proteins are used to compare four methods which predict secondary structure from the amino acid sequence. The prediction of alpha-helices according to the histogram method of Argos et al. (Argos, P., Schwarz, J. and Schwarz, J. (1976) Biochim. Biophys.
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Prediction of Secondary Structures

1995
Prediction of secondary structure should be viewed with caution, in spite of all the efforts described in the literature. At present only the network procedures offer the best chances for success.
S. Fraga, J. M. R. Parker, J. M. Pocock
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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, Dong Wang 0021, Wenzheng Bao, Yuehui Chen   +3 more
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Revolutions in RNA Secondary Structure Prediction

Journal of Molecular Biology, 2006
RNA structure formation is hierarchical and, therefore, secondary structure, the sum of canonical base-pairs, can generally be predicted without knowledge of the three-dimensional structure. Secondary structure prediction algorithms evolved from predicting a single, lowest free energy structure to their current state where statistics can be determined ...
David H Mathews
exaly   +3 more sources

Evaluating Predictions of Secondary Structure in Proteins

Biochemical and Biophysical Research Communications, 1994
To learn how secondary structure assignments diverge during divergent evolution, pairs of proteins with solved crystal structures were aligned and their assignments compared as a function of evolutionary distance. Residues assigned in one structure to a helix or a strand are frequently paired with residues assigned in the other to a coil.
T F, Jenny, S A, Benner
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Accurate prediction of secondary structure of tRNAs

Biochemical and Biophysical Research Communications, 2019
RNA structure plays a key role in understanding its biological function. Currently, the most successful de novo methods for RNA secondary structure prediction are based on free energy minimization. Existing free energy minimization methods focus more on building energy calculation models and optimizing energy parameters while paying less effort on ...
Guosong, Jiang, Ke, Chen, Jie, Sun
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On the parallel prediction of the RNA secondary structure

2004
Publisher Summary This chapter discusses the parallelization of the Vienna package algorithm that predicts the secondary structure of the RNA. Before the tool can be effectively used, it must be tuned on the target architecture. This tune consists of finding the tile sizes for optimal executions.
Francisco Almeida, Rumen Andonov, Luz Marina Moreno, Vincent Poirriez, Melquíades Pérez Pérez, Casiano Rodríguez   +5 more
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Secondary Structure Prediction

2003
The aim of secondary structure prediction is to locate all α-helices and β- strands within a protein. We view the problem of secondary structure prediction as a statistical pattern recognition problem. We particularly focus on the sta- tistical analysis of the problem data.
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