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This method can be used to investigate protein-protein interactions, as well as to investigate modulators of protein-protein interactions by assessing ternary complex formation. An example for such modulators are PROTACs , which are investigated for their therapeutic potential in cancer therapy.
The stability-based methods below are thought to work due to ligand-induced shifts in equilibrium concentrations of protein conformational states. A single protein type in solution may be represented by individual molecules in a variety of conformations, with many of them different from one another despite being identical in amino acid sequence.
Antibody arrays are an example in which a host of different antibodies are arrayed to detect their respective antigens from a sample of human blood. Another approach is the arraying of multiple protein types for the study of properties like protein-DNA, protein-protein and protein-ligand interactions.
The protein protein interactions are displayed in a signed network that describes what type of interactions that are taking place [74] Protein–protein interactions often result in one of the interacting proteins either being 'activated' or 'repressed'. Such effects can be indicated in a PPI network by "signs" (e.g. "activation" or "inhibition").
Comparative genomics: Study of the relationship of genome structure and function across different biological species or strains. Functional genomics: Describes gene and protein functions and interactions (often uses transcriptomics). Metagenomics: Study of metagenomes, i.e., genetic material recovered directly from environmental samples.
Protein–protein interaction prediction is a field combining bioinformatics and structural biology in an attempt to identify and catalog physical interactions between pairs or groups of proteins. Understanding protein–protein interactions is important for the investigation of intracellular signaling pathways, modelling of protein complex ...
Functional genomics focuses on the dynamic aspects such as gene transcription, translation, regulation of gene expression and protein–protein interactions, as opposed to the static aspects of the genomic information such as DNA sequence or structures. A key characteristic of functional genomics studies is their genome-wide approach to these ...
The two methods seek similar results, as they both strive to find protein binding sites that can help identify elements in the human genome. Those elements in the human genome are important for the advancement of knowledge in human diseases and biological processes.