Protein sequence
Application of Data Mining in Protein Sequence Classification
... After extracting those features, a feature ranking algorithm will be applied on it. This algorithm will be able to provide a rank to the feature values and arrange the features values according to the descending order ...
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Protein Sequence Matching Using Parametric Spectral Estimate Scheme
... —Putative protein sequences decoded from the messenger ribonucleic acid (mRNA) sequences are composed of twenty amino acids with different physical-chemical properties, such as hydrophobicity and hydrophilicity ...
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NetTurnP--neural network prediction of beta-turns by use of evolutionary information and predicted protein sequence features.
... b-turns are the most common type of non-repetitive structures, and constitute on average 25% of the amino acids in proteins. The formation of b-turns plays an important role in protein folding, protein ...
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Automated knowledge extraction from protein sequence
... full protein sequence, but this is compensated by the fact that it is easier to model a group of proteins based on local amino acid compositions than it is to model them based on global sequence ...
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On the impact of the pangenome and annotation discrepancies while building protein sequence databases for bacteria proteogenomics
... concatenating protein sequences from a public repository such as UniProt (for recent reviews see Heyer et ...to sequence similarity ( Heyer et ...concatenating protein sequences from multiple ...
13
Bayesian Top-Down Protein Sequence Alignment with Inferred Position-Specific Gap Penalties.
... In this article, we describe a new approach to MSA, whose main features are as follows. (a) It uses a top-down strategy and MCMC sampling to align n sequences of a fixed average length in O(n) time. It achieves this by ...
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A Protein Sequence Analysis Hardware Accelerator Based on Divergences
... The Viterbi algorithm is one of the most used dynamic programming algorithms for protein comparison and identification, based on hidden markov Models (HMMs). Most of the works in the literature focus on the ...
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PredPPCrys: accurate prediction of sequence cloning, protein production, purification and crystallization propensity from protein sequences using multi-step heterogeneous feature fusion and selection.
... including sequence cloning, protein material production, purification, crystallization and ultimately, structural ...a protein to successfully undergo these experimental procedures based on the ...
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Prediction of Spontaneous Protein Deamidation from Sequence-Derived Secondary Structure and Intrinsic Disorder.
... In the absence of secondary and tertiary structure, asparagine deamidation rates are governed by the identity of the N+1 amino acid [7]. In model peptides, the Asn-Gly dipeptide is by far the fastest to deamidate, with ...
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In silico sequence analysis and homology modeling of predicted beta-amylase 7-like protein in Brachypodium distachyon L.
... analyzed protein sequence of predicted beta-amylase 7-like protein in Brachypodium ...the protein may reside in chloroplast by using CELLO ...of protein was performed using comparative ...
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The microRNAs in an ancient protist repress the variant-specific surface protein expression by targeting the entire coding sequence.
... The deeply branching protozoan parasite Giardia lamblia, is responsible for the diarrheal disease giardiasis, which affects over 200 million people worldwide [1,2]. In developing countries, multiple exposures to the ...
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Predicting protein phenotypes based on protein-protein interaction network.
... a protein and took away one of its interacting proteins from the PPI ...the protein was predicted by the method based on the broken PPI ...with protein YOR196C in the network, the 1 st order ...
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Sequence to Medical Phenotypes: A Framework for Interpretation of Human Whole Genome DNA Sequence Data.
... genome sequence data in apparently unrelated individuals yields a parsimonious set of variants for manual review (~100) that may have implications for Mendelian disease risk and drug response, and in one case ...
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Composition of Overlapping Protein-Protein and Protein-Ligand Interfaces.
... one protein may bind either a second protein or a small molecule ligand at the same interface, (ii) every pair of the dataset is represented as (Pi1, Pi2): (Pi3, Lj), where Pi1, Pi2 and Pi3 are three ...
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Nucleotide sequence comparison of the capsid Protein gene of severe and protective mild strains of Papaya ringspot virus
... The sequence of each cDNA clone was determined using the Big Dye Terminator Cycle Sequencing Ready Reaction (PE Applied Biosystems) or Dyenamic ET Terminator Cycle Sequencing Kit (Amersham Pharmacia Biotech) ...
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On the sequence $\alpha n!$
... The following statement is well-known. It is the main argument of the classical proofs of the logarithmic order of discrepansy of the sequence {αk} in the case when α has bounded partial quotients in its continued ...
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Sequence motifs in MADS transcription factors responsible for specificity and diversification of protein-protein interaction.
... 50% sequence identity and group in the same phylogenetic clade [24], but have quite different interaction ...SOC1 protein we predicted a loss of 13 of its interaction partners, and for the mutated AGL14 ...
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Sequence Mining Analysis on Shopping Data
... de sequence mining aplicadas no retalho ...de sequence mining raramente são ...de sequence mining está relacionada com as diferentes representações de sequências que podem levar a diferentes ...
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SEQUENCE ANALYSIS OF THE CAPSID PROTEIN GENE OF AN ISOLATE OF Apple stem grooving virus, AND ITS SURVEY IN SOUTHERN BRAZIL
... or sequence variants of capilloviruses within a cluster, on one side, and the host species from which the viruses were originally isolated, on the other (Magome et ...
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Image correlation method for DNA sequence alignment.
... novel sequence alignment method based on 2-dimensional images, where each nucleic acid base is represented as a fixed gray intensity ...and sequence alignment is handled as object recognition in a scene ...
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