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We also assessed the evolutionary conservation of the predicted binding potential using a novel alignment-independent method.
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We obtained also direct estimates of binding potentials using a graphical reference tissue model and two nonlinear reference tissue models.
We developed a method for clustering potential binding sites using a curated dataset of structures for six therapeutically relevant proteins from diverse protein classes in the protein data bank.
After potential core sites were identified, neighboring sequences both upstream and downstream of these potential sites were searched for the presence of a potential half binding sites using a second weighted matrix.
We initially generated parametric images of binding potential (( {BP}_{mathsf{ND}}^{ast } )) using a standard reference tissue method.
The present study included a preliminary analysis of reliability of the quantitative analysis for [11C](R -PK11195 binding potential, BP ND (k 3/k 4), using a test-R -PK11195roach.
The potential ligand binding sites were generated using a probe radius of 5.0 Å and the binding site having highest z-score was considered for further investigation.
Genetic variation in HTR2A influences serotonin transporter binding potential as measured using PET and [11C]DASB.
DAT density will be calculated with binding potential (DAT-BP) using regions of interests (ROI) bilaterally drawn in the striatum (STR) and the occipital cortex (OCC-background).
To determine if the stained 140 kDa and 90 kDa bands correlated with direct dengue 3' SL RNA binding potential, a northwestern blot assay, using a radiolabeled dengue 3' SL RNA probe, was performed.
We screened 25 semiochemicals for their binding potential to a GOBP of B. dorsalis using molecular docking (in silico) and molecular dynamics.
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