The position of site-directed mutagenesis was indicated on the three-dimensional structure of AnSHMT, which was constructed from the known x-ray structure of Burkholderia Pseudomallei Mycobacterium Tuberculosis T.Th.Hb8 (PDB entry 3H7F, 2DKJ and 3ECD) using Swiss-Model, a knowledge-based protein modeling tool [ 33].
We extend signal processing methods to unify knowledge of acoustic, linguistic, physiological and cognitive models into a knowledge-based model of lexical access, and test the system as a model of human speech perception by determining its robustness to contextual variation and its breakdown in the same ways as human speech processing.
Here, based on a database containing the known models, on a knowledge-based system we may see the case as a multi-agent system, which can provide criticism, learning and changes, taking decision based on node analysis from network topology.
"The government, in a context of austerity, has made a clear bet for research as a lever for the change of production model" toward a knowledge-based economy, Garmendia says.
Whether previous knowledge is considered in the steps of text representation and analysis makes a major difference: A pure machine learning approach relies on probabilistic models, whereas a knowledge-based approach involves "existing knowledge resources" such as pre-defined ontologies or training data [74].
Homology modelling is a knowledge-based structure prediction where a protein sequence with an unknown structure (the target) is aligned with one or more protein sequences with known structures (the templates).
A three-dimensional model for the sequence of the K170-K185 peptide was built using a knowledge-based protein modelling method based on the given pair-wise target-template sequence alignment to the 156-171 spanning region of the 2.4 Å resolution X-ray structure of a CRISP family Ca2+-blocker (PDB code 1wvr) as template.
We term this model the Wild Type Model (WTM; Figure 5), as it is a knowledge-based model derived from the same wild-type data used for the MIM.
The "motion-on-a-cone" spin label model is converted into a knowledge-based potential, which was implemented as a scoring term in Rosetta.
The gray-box modeling technique is very valuable whenever a knowledge-based model exists, but is not fully satisfactory and cannot be improved by further analysis (or can only be improved at a very large computational cost).
