Sentence examples for Knowledge-based prediction from inspiring English sources
However, there remains a significant challenge from the knowledge-based prediction to functional validation.
An approach to the knowledge-based prediction of local structures in globular protiens.
Expert knowledge-based prediction of toxicity can alert chemists if their proposed compounds are likely to have an increased likelihood of causing toxicity.
ML's ability to increase prediction versatility is a promising step towards developing algorithmic, knowledge-based, personalized prediction of post-traumatic psychopathology.
To complete the "closed STX model", we built the crystallographically disordered portion of the STX N-terminus region (residues 1 26) using the knowledge-based structure prediction tool Rosetta.
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).
In the absence of a clear structural homologue from PDB or pattern prediction, knowledge-based approach to structure prediction employing the fold recognition and protein threading methods was undertaken to determine computationally a suitable template model for the exon 2 encoded polypeptide.
There are also knowledge-based studies for DDI prediction.
Another pathway prediction system, PathPred (http://www.genome.jp/tools/pathpred/), is a knowledge based prediction system that uses data derived from the Kyoto Encyclopedia of Genes and Genomes (KEGG) in the form of the KEGG REACTION database and KEGG repair database [ 18].
For about two decades, knowledge-based potentials based on pairwise distances – so-called "potentials of mean force" (PMFs) – have been center stage in the prediction and design of protein structure and the simulation of protein folding.
Knowledge-based approaches, which predict structural models using the regularities and rules of known protein structures seen in the Protein Data Bank (PDB) library, have enjoyed more extensive success in protein structure prediction [ 2- 4].
