Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


In silico identification of toxins and their effect on host pathways: feature extraction classification and pathway prediction/



272 pages, Content notes : Introduction and Scope of the Thesis -- A Review on Host–Pathogen Interactions: Classification and Prediction -- PyPredT6: An Ensemble Learning-based System for Identification of Type VI Effector Proteins -- Cluster Quality-based Non-Reductional (CQNR) Oversampling Technique and Effector Protein Predictor Based on 3D Structure (EPP3D) of Proteins -- DeepT7: A Deep Neural Network System for Identification of Type VII Effector Proteins -- DeepT7: A Deep Neural Network System for Identification of Type VII Effector Proteins -- Boolean Logic-based Network Robustness Analyzer (BNRA) and Its Application
to a System of Host-Pathogen Interactions -- Conclusions and Scope for Future Research Disease Toxicology Toxins Pathway prediction

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