Next Interactions
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General Information
Locality: Richmond, California
Phone: +1 415-794-1894
Address: 2600 Hilltop Drive, Building B, C332 94806 Richmond, CA, US
Website: nextinteractions.com
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Next Interactions has updated its services on the website and added resources and tool useful for your protein interactions research. Check us out https://nextinteractions.com/services/
Orionis is using interesting drug discovery platform technologies that came out of the laboratory of Jan Tavernier (University of Ghent), the inventor of MAPPIT. https://www.linkedin.com//novartis-institutes-for-biomedic
The enzyme CaMKII shapes memory in the brain through protein interactions. https://medicalxpress.com//2020-02-protein-interactions-br
To describe the precise mechanism by which indisulam, an anticancer agent mediates the DCAF15RBM39 interaction, researchers solved the DCAF15DDB1DDA1indisulamRBM39(RRM2) complex structure. DCAF15 embraces the RBM39(RRM2) domain largely via non-polar interactions, and indisulam binds between DCAF15 and RBM39(RRM2), coordinating additional interactions between the two proteins. https://www.linkedin.com//novartis-institutes-for-biomedic
This paper from 2019 June summarizes the current knowledge of host factors co-opted and signaling pathways activated during HCoV infection, with an emphasis on HCoV-infection-induced stress response, autophagy, apoptosis, and innate immunity. Next Interaction's in-vivo NGS-Y2H technology is also helpful for uncovering the host-pathogen interactions. https://www.annualreviews.org//10.1146/annurev-micro-02051
GARD maintains a list of rare diseases and related terms to help people find reliable information. In the United States, a rare disease is defined as one that affects fewer than 200,000 people. https://www.linkedin.com//nationalcancerinstitute_rare-dis
Next Interactions brings the next generation protein interaction screening in vivo to accelerate drug development. Screen for novel PPIs in low or high throughput manner, map hidden binding sites, study variants or mutations, profile differential drug dependant PPIs.
Profiling of differential drug-dependent protein-protein interactionsProfiling of differential drug-dependent protein-protein interactions
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Next Interaction was mentioned... !!! https://www.perlara.com/blog/pmm2-model-preprint/ Congratulations to Perlara for their publication on the yeast model for PMM2-CDG. We are delighted to see the success of Next's former client, and proud of contributing to it! Good luck with your further work on PMM2-CDG PerlQuest and the other PerlQuests!
Congratulations to Shuguang and his team at MIT for their successful work with the QTY code to generate soluble membrane proteins. We at Next Interactions are proud of having taken part in this effort! https://www.sciencedaily.com/releas/2018//180828104043.htm
We congratulate our clients at Perlara for their successful work on PMM2-CDG yeast models used for drug repurposing screen. https://www.perlara.com/blog/pmm2-cdg-yeast-models-update/
Why are protein-protein interactions important? The human genome contains about 21,000 protein-encoding genes, but the total number of proteins in human cells is estimated to be between 250,000 to one million. These proteins are ultimately the players that drive all biological functions in both normal and disease physiology. It is estimated that more than 80% of proteins operate in concert with another protein, as dynamic protein assemblies or stable complexes. While individu...al proteinprotein interactions are the edges in large proteome-wide networks, the proteins themselves can be understood as nodes that receive inputs and generate one or more specific outputs in a manner similar to computational units. Understanding the entire protein-protein interaction map, the so-called interactome, is therefore critical in biology and medicine. Applications are widespread, including understanding of disease pathology, design and discovery of therapeutics, testing therapeutics for efficacy, or pure science curiosity. See more here: https://nextinteractions.com/protein-protein-interactions/ See more
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