Exact(8)
Through its display of phosphorylation-specific PPIs, it brings together phosphorylation and PPI information that is usually curated separately.
Hence, to fully assess the environmental exposures and risks associated with PPIs, it is important to better understand and evaluate the fate and behavior not only of the parent compound but also of their metabolites and their transformation products arising from biotic and abiotic processes (hydrolysis, photodegradation, biodegradation etc). in the environment.
After considering PPIs, it is natural to move to a higher degree of organization of the living matter, i.e. biological pathways.
Even though BUB1B has four phosphorylated forms and several documented phosphorylation-state specific phosphorylation-state specificcaPPIsed from the scitntific literalsoe and 17 from PPI databases) thas map to the gene level BUB1B node.
For the analysis of sequence features of the proteins both in inter- and intra-species PPIs, it is still a very initial and it hasn't been attempted by other groups before.
To aid more successful targeting of PPIs, it is important to focus efforts onto those PPIs that are most likely to yield high-quality, high-LE small molecule binders, i.e., exhibit highest druggability.
Similar(52)
However, the emergence of a growing number of experimentally validated inhibitors of PPIs (i-PPIs) allows drug designers to use chemoinformatics and machine learning technologies to unravel the nature of the chemical space covered by the reported compounds.
For example, if there are 300 PPIs from the STRING predicted functional associations dataset are in score range 150~160, and among these 300 PPIs there are 30 PPIs overlapping with the B2H PPI dataset, then in this score range 150~160 the "overlap PPI number ratio" is 30/300 = 0.1.
AImed extracts the most PPIs (2957), and LLL extracts 1871 PPIs despite only containing 300 annotated PPIs.
Functional associations between genes can be inferred from two types of protein protein interaction (PPI) data sources: (i) small/medium scale PPIs (LC) derived from curated PPI databases such as IntAct (20), DIP (21), MINT (22), BioGRID (23); (ii) large-scale high-throughput PPIs (HT) inferred by affinity purification-mass spectrometry (24 26) and yeast two hybrid analysis (27).
We built the interactome network from the PPIs, and computed the centrality measures of PPIs (edges) and the participant proteins (nodes).
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