To make use of protein-protein interaction network

The largest database of protein-protein interaction network has been laughed today, according to EurekAlert!, a science and technology news sharing platform of the American Association for the Advancement of Science (AAAS). The database is a collection of more than 62.55 million protein-protein interactions. Wit this data resource and recombinant proteins such as recombinant horse proteins, researchers can elucidate the effects of multiple genes on disease progression.

The importance of mapping large-scale protein-protein interaction network is widely recognized, but the data are scattered across a variety of academic articles. Researchers from the United States, Denmark and the United Kingdom collaborated and integrated more than 43,000 published articles from the data and created the database named InWeb_InBioMap.

"Modern genetic technology makes it possible to sequen- tally the genome of patients with cancer or mental illness on a regular basis, but understanding the cellular systems affected by the genetic genetic variation remains a major challenge," said team leader Dr. Kasper Raj. A more complete map of the physical interactions of human proteins will enable us to explore more precisely the cellular processes affected by the disease than ever before."

Li Taibo, a co-editor of the team, explains, "It is just like human society, proteins like to work in small groups. The social networking platform Facebook can infer people who might know each other, based on interaction patterns and interest sharing between networks, as well as between protein-protein interactions." By exploring possible pathways of protein-protein interactions, the genome and molecular pathways can be deduced, thereby deepening the understanding of life processes occurring in human cells. Clinicians can use this to look at patterns of genetic data and provide new molecular perspectives for finding new disease-causing genes.

The team is also continuing to develop other uses of the resource database, such as integrating proteomics, transcriptome and genomic data to improve understanding of complex biological systems, and the use of this information will help to understand cardiovascular disease, birth defects, cancer, reproductive disorders, mental illness and other pathogenic mechanisms. Flarebio offers superior recombinant proteins like recombinant CDH2 at competitive prices.