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The detection of binding site is based on the bound template (PDB ID: 1oxr, CHAIN ID: A, black) by mapping the ligand of template into unbound chain.
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The positioning of small molecules in the binding site was based on the genetic algorithm, whose parameters were set to auto mode, using the PLP scoring function.
Another way to find potential disorder-based binding sites is based on looking for residues in disordered regions that cannot form enough favorable intra-chain interactions to fold on their own, but which are likely to gain stabilizing energy by interacting with a globular protein partner.
Our positive set of binding sites is based on ChIP-seq data and computationally predicted ChIP-seq peak regions.
For example, the recognition of Myc to its binding sites is based on specific epigenetic context and, once bound to DNA, Myc locally enhances histone acetylation [18], [59].
The prediction of binding sites is based on estimating the energy content in free and in the bound states, and identifying segments that are potentially sensitive to these changes.
The prediction of these binding sites is based on estimating the energy content in free and in the bound states, and identifying segments that are potentially sensitive to these changes.
Our heuristic algorithm for prediction of RNA-RNA interactions involving multiple binding sites is based on the idea that the external interactions mostly occur between unpaired regions of two RNA structures.
In this study the search for HuR binding sites was based on this motif.
Primer binding sites were based on the genome of the ASFV from Georgia (GenBank accession no. FR682468.1).
Functionally important amino acid sites such as active sites and binding sites are based on manually-curated annotations available from UniProt [1] and CDD [6].
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