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One part of this goal lies in identifying the binding locations of transcription factors (TFs)—proteins that bind to DNA segments and regulate the expression of nearby genes.
A novel algorithm is developed by dynamically identifying the binding constraints in the lower-level model.
Identifying the binding sites for drug molecules on HSA can aid in determining the structure activity relationship of albumin binding and assist in the design of molecules with altered albumin binding.
(D) NOESY experiment identifying the binding site.
In that case, a user-defined ligand (pseudo-ligand) can be designed by the user to help identifying the binding pocket.
Notice that for the target receptor, a bound ligand or a user defined ligand is required to aid in identifying the binding pocket.
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To identify the binding partners of microRNA 375, Villanueva tags microRNA 375 mimics with a biotin label.
The second cycle (green arrows) is aimed to identify the binding modes of other ggTas2r1 agonists by using the predicted active conformation.
Here, we developed a protocol to identify the binding mode of known ggTas2r1 agonists to their target and to use it for the identification of additional agonists.
To address this aim we are coupling next-generation RNA sequencing with immuno-precipitation to identify the binding sites of these silencing proteins within the transcriptome.
Energy-dispersive X-ray spectroscopy (EDS) was used to investigate the chemical element distribution in the samples helping to identify the binding mechanism in this novel unit.
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