Results 261 to 270 of about 257,655 (321)

Protein Secondary Structure Prediction: A Review of Progress and Directions

Current Bioinformatics, 2020
Over the last few decades, a search for the theory of protein folding has grown into a full-fledged research field at the intersection of biology, chemistry and informatics.
Tomasz Smolarczyk, I. Roterman-Konieczna, K. Stapor   +2 more
semanticscholar   +1 more source

Prediction of protein secondary structure at better than 70% accuracy.

Journal of Molecular Biology, 1993
We have trained a two-layered feed-forward neural network on a non-redundant data base of 130 protein chains to predict the secondary structure of water-soluble proteins.
B. Rost, C. Sander
semanticscholar   +1 more source

Predicting secondary structures of proteins

IEEE Engineering in Medicine and Biology Magazine, 2005
The article presents the application of a new machine-learning algorithm for the prediction of secondary structures of proteins. The logical analysis of data (LAD) algorithm was applied to recognize which amino acids properties could be analyzed to deliver additional information, independent from protein homology, useful in determining the secondary ...
Piotr Lukasiak, Jacek Blazewicz, P. L. Hammer   +2 more
openaire   +2 more sources

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, Ernst-Walter Knapp, Dawid Rasinski   +2 more
openaire   +3 more sources

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 ...
Jaap Heringa, Walter Pirovano
openaire   +4 more sources

Prediction of super-secondary structure in proteins

Nature, 1983
Various methods for the prediction of secondary structure from amino acid sequence can consistently achieve on average 60% accuracy when tested for several proteins. Improvement on this value has proved difficult, despite increasing the size of the data set and refining predictive techniques.
William R. Taylor, Janet M. Thornton
openaire   +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, Steven A. Benner
openaire   +3 more sources

Parallelized protein secondary structure prediction [PDF]

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), 2005
Functional characterization of a protein sequence is one of the most frequent problems in biology. Secondary structure prediction is a useful first step in understanding how the amino acid sequence of a protein determines the native state. There are many previous famous prediction methods available now, although most of them allow users to submit their
Yu-Tao Qi, Feng Lin
openaire   +1 more source

Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments

2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
Motivated by known preferences for certain amino acids in positions around a-helices, we developed neural network-based predictors of both N and C a-helix ends, which achieved about 88% accuracy. We applied a similar approach for predicting the ends of three types of secondary structure segments.
Zoran Obradovic, A.K. Dunker, Uros Midic
openaire   +2 more sources

Secondary Structure and Contact Guided Differential Evolution for Protein Structure Prediction

IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2020
Ab initio protein tertiary structure prediction is one of the long-standing problems in structural bioinformatics. With the help of residue-residue contact and secondary structure prediction information, the accuracy of ab initio structure prediction can
Gui-jun Zhang, Lai-Fa Ma, Xiaoqi Wang, Xiaogen Zhou   +3 more
semanticscholar   +1 more source