Sentence examples for using a consensus prediction from inspiring English sources

We screened the sequences of the seven B cell antigens (Table 1) for peptides predicted to have high affinity for the MHC class II molecule H-2 IAb using a consensus prediction approach (see Materials and Methods and [38]).

While interface predictions have been used previously in docking, their success has been mostly limited to cases for which interface prediction is relatively easy, such as rigid enzymes [11] or enzyme-inhibitors [3] In the current work, by using a consensus prediction strategy in combination with improved docking protocols, much improvement has been made over earlier attempts.

To circumvent these problems and boost the reliability of the classifier we used a consensus prediction approach, which requires a gene to be classified as CM in multiple classification runs that use different dataset definitions.

According to hydrophobicity plots and the MetaTM webserver (http://metatm.sbc.su.se), which predicts transmembrane protein topology using a consensus approach of popular transmembrane helix prediction algorithms, AtCSC1 contains two clusters of transmembrane (TM) helices.

An additional method to identify binding pockets in protein structures was used to obtain a consensus prediction.

An improvement of sensitivity to 90% was achieved by a consensus prediction using the five best performing programs [ 32].

The predicted secondary structures were aligned according to the protein alignment and a consensus prediction was generated using the Jalview software [ 63].

To identify the transmembrane domains of ZIFL proteins we used Conpred II (http://bioinfo.si.hirosaki-u.ac.jp/~ConPred2/), a consensus prediction method for obtaining transmembrane topology models.

To avoid variability in predictions, ensemble-forecasting modelling can be applied, by fitting a series of models using multiple techniques and then combining the predictions into a consensus prediction (weighted by the accuracy of the different methods; Araújo and New 2007).

In order to get more confident predictions, we used a consensus model (CM) of several miRNA target prediction tools (see methods) [ 31].

We utilized a consensus prediction approach [30], based on the use of several available prediction methods including ARB (average relative binding), SMM (stabilized matrix method) and ANN (artificial neural network) algorithms available through the IEDB (Immune Epitope Database).