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Protein–protein interaction prediction
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Related lectures (32)
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Entity Disambiguation and Link Prediction
Explores entity disambiguation, linking text to knowledge bases, and link prediction in knowledge graphs with examples from Wikipedia.
Protein Structure Prediction: Alphafold2
Explores the revolutionary Alphafold2 for protein structure prediction and its impact on bioinformatics and protein folding biology.
Protein Function Regulation: Degradation Mechanisms
Covers the mechanisms of protein degradation, including the roles of the proteasome and autophagy in regulating protein function.
Single Molecule Studies: Hsp90 Chaperone
Explores single-molecule studies of the Hsp90 chaperone and protein function using optical tweezers.
Kernel Methods: Recap and Applications
Covers polynomial feature expansion, kernel methods, data representations, normalization, and handling imbalanced data in machine learning.
Proteins and Biological Matter
Explores the application of physics in understanding proteins, biological membranes, and statistical models in biophysics.
Enzyme Inhibitors: Drug Design and Tools
Explores enzyme inhibitors as drugs, drug design, and protein function, including activity-based protein profiling and genome probing tools.
Molecular Synthesis Planning: Transformer Models and Atom Mapping
Explores Molecular Transformer models, atom mapping, AI synthesis planning, and the transformative role of Transformers in chemistry.
Protein Expression and Purification
Covers the process of expressing and purifying proteins, including the importance of studying protein function, folding, interactions, sequence, and structure.
Protein Profiling: Mass Spectrometry and Target-ID Tools
Explores protein profiling using mass spectrometry, target enrichment techniques, and quantitative proteomics.