Improved probability graph model for protein secondary structure prediction
Journal of Hebei University of Science and Technology, 2016 Protein secondary structure is closely related to protein tertiary structure and function, and became a hot topic in bioinformatics. The probability graph model HMM (Hidden Markov model) is an important tool in this field.
Lingqi ZHAO +4 more
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Using Deep Learning (CNN, RNN, LSTM, GRU) methods for the prediction of Protein Secondary Structure
Acta Infologica, 2022 Proteins play a crucial function in the biological processes of living organisms. Knowing the function of the protein offers significant insight into future biological and medical research. Since a protein’s shape determines its function, it is important
Ezgi Çakmak, İhsan Hakan Selvi
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Combining classifiers for protein secondary structure prediction
2017 9th International Conference on Computational Intelligence and Communication Networks (CICN), 2017 Protein secondary structure prediction is an important step in estimating the three dimensional structure of proteins. Among the many methods developed for predicting structural properties of proteins, hybrid classifiers and ensembles that combine predictions from several models are shown to improve the accuracy rates. In this paper, we train, optimize
Aydin, Zafer, Uzut, Ommu Gulsum
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PROTINFO: secondary and tertiary protein structure prediction [PDF]
Nucleic Acids Research, 2003 Information about the secondary and tertiary structure of a protein sequence can greatly assist biologists in the generation and testing of hypotheses, as well as design of experiments. The PROTINFO server enables users to submit a protein sequence and request a prediction of the three-dimensional (tertiary) structure based on comparative modeling ...
Ling-Hong, Hung, Ram, Samudrala
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Protein Secondary Structure Prediction Using Dynamic Programming [PDF]
Acta Biochimica et Biophysica Sinica, 2005 In the present paper, we describe how a directed graph was constructed and then searched for the optimum path using a dynamic programming approach, based on the secondary structure propensity of the protein short sequence derived from a training data set. The protein secondary structure was thus predicted in this way.
Jing, Zhao +3 more
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Improved prediction of RNA secondary structure by integrating the free energy model with restraints derived from experimental probing data. [PDF]
, 2016 PublishedEvaluation StudiesJournal ArticleResearch Support, Non-U.S. Gov'tRecently, several experimental techniques have emerged for probing RNA structures based on high-throughput sequencing.
Ding, X +8 more
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An evolutionary method for learning HMM structure: prediction of protein secondary structure
BMC Bioinformatics, 2007 Background The prediction of the secondary structure of proteins is one of the most studied problems in bioinformatics. Despite their success in many problems of biological sequence analysis, Hidden Markov Models (HMMs) have not been used much for this ...
Won Kyoung-Jae +3 more
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Yetim proteinlerde ikincil yapı öngörüsü için eğitim kümesi indirgeme yöntemleri = Training set reduction methods for single sequence protein secondary structure prediction [PDF]
, 2007 Orphan proteins are characterized by the lack of significant sequence similarity to almost all proteins in the database. To infer the functional properties of the orphans, more elaborate techniques that utilize structural information are required.
Altunbasak, Yucel +7 more
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Improved Chou-Fasman method for protein secondary structure prediction
BMC Bioinformatics, 2006 Background Protein secondary structure prediction is a fundamental and important component in the analytical study of protein structure and functions. The prediction technique has been developed for several decades.
Huang Zhengge, Gu Fei, Chen Hang
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A Simple Comparison between Specific Protein Secondary Structure Prediction Tools
Tropical Agricultural Research, 2012 A comparative evaluation of five widely used protein secondary structure prediction programs available in World Wide Web was carried out. Secondary structure data of ten proteins containing 190 secondary structure motifs were collected from Protein Data ...
TJ Koswatta +2 more
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