Searching for universal model of amyloid signaling motifs using probabilistic context-free grammars

Searching for universal model of amyloid signaling motifs using probabilistic context-free grammars

Background: Amyloid signaling motifs are a class of protein motifs which share basic structural and functional features despite the lack of clear sequence homology. They are hard to detect in large sequence databases either with the alignment-based profile methods (due to short length and diversity)...

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Bibliographic Details
Main Authors: Dyrka, W. (Author), Gąsior-Głogowska, M. (Author), Szefczyk, M. (Author), Szulc, N. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
Amino Acid Motifs
amino acid sequence
Amino Acid Sequence
Amyloid peptide synthesis
Amyloid signaling motif
ATR-FTIR spectroscopy
Context free grammars
Databases, Nucleic Acid
Discriminative power
False positive rates
Functional amyloid
Functional features
Functional relationship
Glycoproteins
Grammatical models
nucleic acid database
Prion
Probabilistic context free grammars
Probabilistic context-free grammar
protein motif
Protein sequences
Proteins
Sequence homology
Sequence motif
Statistical inference
Turing machines
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