Jenner-predict

[…] athogen-independent predictor of the whole protein sequence) was used for prediction of antigenicity. Proteins larger than 1000 size were analyzed in chains. Protein immunogenicity was evaluated with Jenner Predict algorithm (http://14.139.240.55/vaccine/validation.html) for prediction of protein vaccine candidates. […]

[…] assist researchers in vaccine discovery and design (, ). Databases of vaccine candidates, such as MalVac (), or Vaxar (), software tools such as Vaxjo (), VIOLIN (–), NERVE (), Vaxign (), Vacceed (), Jenner-predict server (), EpiToolKit (), iVax (), or VaxiJen (), have been specifically implemented for vaccinology to enable prediction of vaccine antigens or adjuvants.A successful example of ration […]

[…] has not been widely appreciated. Other criteria including signal peptides, conserved domains, and biological function analysis () have been used in different RV tools [e.g., NERVE (), Vaxign (), and Jenner-predict server ()], and machine-learning techniques are also applied to vaccine design studies (, ). However, the significance and association of above criteria with the protectiveness of bacte […]

[…] of filters until a subset of proteins are identified that represent potential vaccine candidates. Several utilities have been developed to implement filtering approaches to RV, for example Violin [], Jenner Predict [], and Ivax []. Drawbacks of filtering methods include the necessity of assessing large numbers of candidates in the laboratory and potential candidates with predicted subcellular loca […]

[…] ely to have host cell adhesion functions. Raising antibodies against adhesins can have an inhibitory effect on colonization and infection []. Vaxign further added MHC I and MHC II epitope prediction. Jenner-Predict, while using some of the same filtering criteria as NERVE and Vaxign, put more weight on the known host-pathogen interaction domains on proteins []. Vacceed framework extended the vacci […]

[…] shed studies citing “immunoinformatics” or “computational vaccinology” (). Individual computational vaccinology tools, primarily for epitope prediction, are available from a range of sources, such as Jenner-predict and VaxiJen and IEDB. Figure 1. While a selection of computational vaccinology tools are available, most of these tools are ‘stand-alone’ algorithms that have not been integrated into a […]