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Comparison of sublancin's interhelical loop to those in the loop conformation database ArchDB did not provide any hits.
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Using the aligned models, a pharmacophore search on a multi-conformation-database is performed to find compounds matching both models.
All compound libraries used for validating the pharmacophore models and in the prospective virtual library screening were converted into 3D multi-conformational databases using 'CAESER' quality with a maximum number of 100 conformations per molecule.
The conventional ligand-based 3D-QSAR studies were performed based on the low energy conformations employing database alignment rule.
The conventional ligand-based 3D-QSAR studies were performed based on the lower energy conformations employing database alignment rule.
Subsequently, conformations of the cationic ligands were generated using a systematic search method in MOE that was adjusted for large chemical databases (conformation import function) using the default settings.
In a first step, an ensemble of monomer conformations is generated, typically from molecular dynamics simulations or structural biology experiments; this ensemble is then treated as a database of conformations.
A one million compound database (100 conformations per compound) can be processed in approximately 15 minutes on a 100 processor cluster, making this method attractive for pre-screening large databases before downstream pharmacophore-based or docking screens.
In public database, 3D-conformations of the chosen chemicals were generated by omega after the removal of molecules with a hypervalent metal complex due to the assignment of charge under the Merck molecular force field (MMFF) [14, 37].
Specifically, for each of the 20 amino acid types, all its residue conformations from the training database of 1821 peptides were aligned according to their N, CA, and C backbone atoms, and clustered using the root mean square deviation (RMSD) of all the heavy atoms of backbone and side chains.
This is followed by a more rigorous procedure attempting to match the atoms of the 3D database molecule conformations to the features of the 3D search query.
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