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As these interactions determine protein structure, they are essential for defining a protein language.
We presented an original probabilistic grammatical model of a protein language.
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We present an original probabilistic grammatical model of protein languages (see [ 1, 9, 119] for use of the term).
In this work, we present a probabilistic grammatical framework for problem‐specific protein languages and apply it to classification of transmembrane helix‐helix pairs configurations.
Interestingly, each individual with either a deletion of SHANK3 or a truncated protein had severe language problems, whereas the individual with 22qter partial trisomy had precocious language development and fluent speech, but social communication difficulties.
Following the header is the string itself which can be DNA, RNA, protein, human readable language or other text.
Among the FOXP subfamily, FOXP1 is the most likely protein to influence language-related pathways in concert with FOXP2.
Performance testing of Simrank and related tools against DNA, RNA, protein and human-languages found Simrank 10X to 928X faster depending on the dataset.
The language of protein stability can be confusing even to a seasoned protein chemist, let alone an undergraduate student.
Two independent linear models (y = ax + b) were applied to the steep left and extended right tail regions of the rank-ordered fluorescence signal distribution curve for the bound protein using R statistical language.
Much of the explained variation for calibrated nutrients came from variables other than the 2-day mean, including body mass index and sex for energy and protein models and English language and ethnicity for protein density.
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