A novel class of potent benzodiazepine receptor (BZR) ligands has been designed and synthesized aided by molecular modeling of known benzodiazepine ligands such as CGS-8216 and the use of known pharmacophore models.
Sequences of silhouettes extracted from each human are matched against models of known activities.
The proposed numerical technique has been validated with models of known tortuosity.
This paper is concerned with the experimental design for precise parameter estimation in a model of known form.
Agent-based approaches enable simulation driven analysis and discovery of system-level properties using descriptive models of known behaviors of the entities constituting the system.
Here molecular modeling of known inhibitors was conducted to gain better insights about the role of waters in their different degrees of binding and activity to AK.
Indeed, Model Predictive Controllers are widely used in the control of complex systems, which hardly can be exactly represented by a model of known structure.
A more promising approach to speeding up the first stage might be to improve the models of known families.
Another alternative to all-versus-all BLAST is to compare the sequences to models of known families instead of to each other.
