About: Probabilistic analysis of the frequencies of amino acid pairs within characterized protein sequences

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Probabilistic analysis of the frequencies of amino acid pairs within characterized protein sequences
Creator	Carpenter, Eric Kai, Bo Ruan, Jishou Shen, Shiyi Tuszynski, Jack Huzil, J
Source	Elsevier; Medline; PMC
abstract	Here, we describe a unique probabilistic evaluation of the 20, naturally occurring, amino acids and their distributions within the Swiss-Prot and Complete Human Genebank databases. We have developed a computational technique that imparts both directionality and length constraints into searches for unique combinations of amino acids within protein sequences. Using statistical approaches, we have carried out searches of all possible two- and three-residue motifs contained within these databases. This technique is based on the unusually high occurrence of a small number of these motifs when compared to the expected probability of finding a specific residue grouping within a given database. Subsequent filtering of this search to identify such unique combinations has provided several examples that can be used as markers to identify particular proteins within or across databases. We focus on three of these motifs, which were found to be of greatest interest to us. The CC, CM and a combination of the two, CCM motifs all occur either more or less frequently than would be predicted based on standard amino acid distributions within the entire human proteome.
has issue date	2006-10-15(xsd:dateTime)
bibo:doi	10.1016/j.physa.2006.03.004
bibo:pmid	32288076
has license	no-cc
sha1sum (hex)	ad142e62f592ce97eeda012293c8758d8a2c42ab
schema:url	https://doi.org/10.1016/j.physa.2006.03.004
resource representing a document's title	Probabilistic analysis of the frequencies of amino acid pairs within characterized protein sequences
has PubMed Central identifier	PMC7127678
has PubMed identifier	32288076
schema:publication	Physica A
resource representing a document's body	covid:ad142e62f592ce97eeda012293c8758d8a2c42ab#body_text
is schema:about of	named entity 'PAIRS' named entity 'THEIR' named entity 'HERE' named entity 'DISTRIBUTIONS' named entity 'OCCURRENCE' named entity 'MARKERS' named entity 'SPECIFIC' named entity 'AMINO ACID' named entity 'FILTERING' named entity 'EXPECTED' named entity 'BASED' named entity 'ENTIRE' named entity 'STANDARD' named entity 'TECHNIQUE' named entity 'COMPARED' named entity 'PROBABILITY OF' named entity 'GREATEST' named entity '20%' named entity 'AMINO ACIDS' named entity 'ANALYSIS' named entity 'NATURALLY OCCURRING' named entity 'MOTIFS' named entity 'FINDING' named entity 'SEARCH' named entity 'CONTAINED' named entity 'TO IDENTIFY' named entity 'UNUSUALLY HIGH' named entity 'PROTEIN SEQUENCES' named entity 'CHARACTERIZED' named entity 'AMINO ACID' named entity 'DATABASE' named entity 'EVALUATION' named entity 'COMBINATION' named entity 'PROVIDED' named entity 'HAVE' named entity 'HUMAN' named entity 'PROTEIN SEQUENCES' named entity 'GIVEN' named entity 'DESCRIBE' named entity 'STATISTICAL APPROACHES' named entity 'FOUND' named entity 'FOCUS' named entity 'COMPUTATIONAL TECHNIQUE' named entity 'RESIDUE' named entity 'PROTEOME' named entity 'OCCUR' named entity 'CARRIED' named entity 'EITHER' named entity 'USING' named entity 'DIRECTIONALITY' named entity 'FREQUENCIES' named entity 'COMPLETE' named entity 'PROTEINS' named entity 'SUBSEQUENT' named entity 'PARTICULAR' named entity 'SMALL' named entity 'GROUPING' named entity 'LENGTH' named entity 'FREQUENTLY' named entity 'COMBINATIONS' named entity 'UNIQUE' named entity 'INTEREST' named entity 'USED' named entity 'ACROSS' named entity 'THESE' named entity 'DATABASES' named entity 'PREDICTED' named entity 'CCM' named entity 'NUMBER OF' named entity 'POSSIBLE' named entity 'SWISS-PROT' named entity 'standard amino acid' named entity 'protein sequences' named entity 'Swiss-Prot' named entity 'probability theory' named entity 'finite set'

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