Prediction of interactions between HIV-1 and human proteins by information integration

Mathematics

• Information Integration 100%
• Virus 61%
• Protein 59%
• Human 51%
• Prediction 45%
• Interaction 41%
• Gene Ontology 12%
• Gene Expression Profile 11%
• Random Forest 10%
• Supervised Learning 10%
• Annotation 9%
• Life Cycle 9%
• Transcription 9%
• Immune System 9%
• Prediction Model 9%
• Receptor 9%
• Classifier 7%
• Regulator 7%
• Deficiency 7%
• Topological Properties 7%
• Infection 6%
• Predict 6%
• Similarity 6%
• Knowledge 5%
• Cell 5%
• Design 4%
• Framework 4%
• Class 2%

Medicine & Life Sciences

• Human Immunodeficiency Virus Proteins 78%
• HIV-1 24%
• Immune System Phenomena 22%
• Protein Interaction Domains and Motifs 20%
• Macromolecular Substances 20%
• Viruses 19%
• Molecular Sequence Annotation 18%
• Protein Interaction Maps 17%
• Calcitriol Receptors 17%
• Gene Ontology 16%
• Proteins 15%
• Tissue Distribution 15%
• Life Cycle Stages 15%
• Viral Proteins 15%
• Post Translational Protein Processing 14%
• Protein Binding 14%
• Transcriptome 13%
• Information Storage and Retrieval 13%
• Acquired Immunodeficiency Syndrome 11%
• Learning 10%
• Infections 6%
• Therapeutics 2%

Engineering & Materials Science

• Viruses 66%
• Proteins 52%
• Protein Binding 13%
• Vitamins 12%
• Immune system 9%
• Transcription 9%
• Gene expression 8%
• Supervised learning 8%
• Random forests 8%
• Genes 7%
• Life cycle 7%
• Tissue 6%
• Ontology 6%
• Classifiers 5%
• Set theory 5%