Patent US 6,410,239

Patent №

US 6,410,239

Granted

Owner

Lab

AI components

2

nlp · kr

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

09461125

Methods are described for detecting protein-protein interactions, among two populations of proteins, each having a complexity of at least 100. Encoded proteins are fused either to the DNA-binding domain of a transcriptional activator or to the activation domain of a transcriptional activator. Two yeast strains, of the opposite mating type and carrying one type each of the fusion proteins are mated together. Productive interactions between the two halves due to protein-protein interactions lead to the reconstitution of the transcriptional activator, which in turn leads to the activation of a reporter gene containing a binding site for the DNA-binding domain. This analysis can be carried out for two or more populations of proteins. The differences in the genes encoding the proteins involved in the protein-protein interactions are characterized, thus leading to the identification of specific protein-protein interactions, and the genes encoding the interacting proteins, relevant to a particular tissue, stage or disease. Furthermore, inhibitors that interfere with these protein-protein interactions are identified by their ability to inactivate a reporter gene. The screening for such inhibitors can be in a multiplexed format where a set of inhibitors will be screened against a library of interactors. Further, information-processing methods and systems are described. These methods and systems pro vide for identification of the genes coding for detected interacting proteins, for assembling a unified database of protein-protein interaction data, and for processing this unified database to obtain protein interaction domain and protein pathway information.

Natural languageKnowledge representationC40B 30/04B82Y 30/00C12N 15/1055C12N 15/81G01N 33/6845G16B 30/10B01J 2219/00605B01J 2219/0061+5 more

AI classification

Knowledge representation0.96
Natural language0.79
Planning0.46
AI hardware0.29
Evolutionary computation0.00
Machine learning0.00
Vision0.00
Speech0.00
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