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Consensus models have been developed using structure-activity similarity maps and related graph representations.
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Quantitative structure activity relationships (QSAR) for a series of new trichostatin A (TSA -like hydroxamic acids for TSA -likeition of cell proliferation of thydroxamicll line hacidseen developed using molecular descriptors form Qikprop and electheninhibitionre calculatiofs.
A two-tiered system was developed using the derived structure-activity relationships to identify P-gp transport substrates and inhibitory ligands.
The measures on use pattern were developed using three use pattern scales, which are activities, passive activity and active activity.
The anode structure was developed using these simulation results.
A coding structure was developed using an iterative process.
Furthermore, particularly light structures can be developed using lightweight materials.
Peroxidase activity was developed using enhanced chemiluminescence (ECL).
24 The three-dimensional (3D) structure for each of those four proteins was developed using Phyre2.
1. OPEn structure activity Relationship Application Models (OPERA) The OPERA models were developed using curated versions of the PHYSPROP datasets and k-nearest neighbor (kNN) QSAR modeling approaches.
A quantitative structure activity relationship (QSAR) model of cellular uptake was developed using descriptors including hydrogen bonding, peptide charge and positions of nitrogen atoms.
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