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Liu et al. proposed a novel interaction propensity representing a binding selectivity of a residue to the interacting RNA nucleotide by considering its two-side neighborhood in a residue triplet with combination of other sequence, features based on structures, and the random forest technique [ 15].
Table 9 Determinants of social media interaction propensity Variables Matched sample Upselling Terminations Service requests Coef.
QC interaction propensity (reactivity) descriptors in LB QSARs provide an implicitly more accurate estimation of the enthalpic contribution to ligand target interactions compared with classical QSAR.
The DNA interaction propensity of the complexes with calf thymus DNA (CT-DNA), studied at physiological pH by spectrophotometric, spectrofluorometric, cyclic voltammetry, and viscometric techniques revealed intercalation as the possible binding mode.
The protein microarray approach therefore appears better suited for a systematic interrogation of the RNA interaction propensity of thousands of different yeast proteins in one rapid experiment.
The scoring algorithm implemented in this study is based on a novel combination of orthogonal scoring features that could map the interaction propensity of two domains in many dimensions.
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Indeed, computational quantum chemistry descriptors are able to account for the variation of the intramolecular interactions of the training compounds, which reflect their adaptive intermolecular interaction propensities.
Without any experimental validation their approach to link helical properties to protein interaction propensities is extremely weak.
Using the interaction propensities distribution, cat RAPID omics predicts the RNA binding ability of the input protein (86% accuracy) and ranks RNA interactions (downloadable by the user).
Using the interaction propensities distribution, catRAPID omics predicts the RNA binding ability of the input protein (86% accuracy) and ranks RNA interactions (downloadable by the user).
There are 6808 predicted protein-binding sites also provided in the database, which were predicted using Support Vector Machine based evaluation of interaction propensities.
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