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Secondly, we implemented a prediction of protein sequences based on unigene sequences using ESTScan software http://estscan.sourceforge.net/[ 14] and an SGN Perl script (longest6frame.pl), which simply determines the longest open reading frame and translates it into a protein sequence.
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To compare the prediction accuracy of our SVR-based method against a naive supervised learning approach, we implemented a prediction framework based on the nearest neighbor (NN) algorithm.
Measures such as the c-statistic and the measures of reclassification do not capture the consequences of implementing a prediction model.
We have implemented a table of predictions of gene-disease relationships extracted from the PhenoPred tool developed at Indiana University [29].
Besides the manually curated database of known TDP-43 mutations, the analysis functions implemented in PRO-MINE include: (a) prediction of mutational effects on protein function and (b) protein sequence annotation with mutations.
We implemented a method for the prediction of the macromolecular targets of small molecules combining state-of-the-art approaches that compare physicochemical properties and pharmacophoric features of query molecules with known drugs.
An algorithm is developed that allows specification of process constraints and great freedom in implementing un-forming strategies, leading to a prediction of the strain history of the un-forming process.
In this work, multiscale modeling approach was implemented in prediction of plastic deformation of stress-strain of a typical thermoplastic polymer filled with nanotube-like inclusions.
Candidate crystallographic slip-based parameters are implemented for prediction of fatigue crack initiation.
Based on these important features of molecules, together with skeletal branching pattern, both the electrotopological state (E-state) and molecular connectivity (Chi indices) structure descriptors were successfully implemented for prediction of genotoxicity and carcinogenicity [18, 43, 44].
For instance, Keleta C et al. implemented the prediction of the 16 different growth phenotypes in E.coli based on regulated metabolic networks [24].
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