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11 Startups Using Quantum Theory To Accelerate Drug Discovery

   by Andrii Buvailo    2312
11 Startups Using Quantum Theory To Accelerate Drug Discovery

Molecular mechanics (MM) is a traditional computational approach when it comes to modeling in synthetic organic chemistry, medicinal chemistry and versatile aspects of drug design. However, MM methods have significant limitations, for example, when used to study electron-based properties within the drug-receptor microenvironment. Quantum mechanical (QM) methods allow to substantially increase the accuracy of predictions and provide much more relevant models of chemical and biological objects and their interactions, but QM methods are extremely (often prohibitively) computationally costly.

However, a series of advancements over recent years allowed to expand horizons in this direction, for example, the emergence of density functional theory (DFT), the overall increase in the computation power and the emergence of distributed cloud-based computational infrastructures.

Big Investments for Human Microbiome Research

   by Tim Sandle    1850
Big Investments for Human Microbiome Research

Major companies on the scene include Second Genome, Enterome, and EpiBiome. In addition, several new startups have entered the field. Amongst the most active investors, Global Engage reports, are Seventure Partners, Flagship Pioneering and BioGaia. In fact there are some 120 companies investing in analyzing data relating to the human microbiome. To take one example, companies such as uBiome are developing genomic tests meant to identify and diagnose harmful microbes in the body.

How Big Pharma Adopts AI To Boost Drug Discovery

   by Andrii Buvailo    26804
How Big Pharma Adopts AI To Boost Drug Discovery

(Last updated 08.10.2018)

The type of artificial intelligence (AI) which scares some of the greatest minds, like Elon Musk and Stephen Hawking, is called “general artificial intelligence” -- the one which can “think” pretty much like humans do, and which can quickly evolve into a dangerous “superintelligence”. There is a notion that it might be invented in the nearest decades, but today we are definitely not there yet. The AI which is making headlines these days is a “narrow artificial intelligence”, a limited type of machine “intelligence” able to solve only a specific task or a group of tasks. It can’t go anywhere beyond specifics of the problem for which it is designed, so apparently, it will not hurt anyone in the nearest time. But already now it can provide meaningful practical results on those narrow tasks, like natural language processing, image recognition, controlling self-driving cars, and helping develop new drugs more efficiently. With the ability to find hidden and unintuitive patterns in vast amounts of data in ways that no human can do, AI represents a considerable promise to transform many industries, including pharma and biotech.  

How AI Is Applied To Metabolomics To Identify New Targets And Drugs

   by Andrii Buvailo    3294
How AI Is Applied To Metabolomics To Identify New Targets And Drugs

The team at MIT created the most comprehensive database of metabolites, their interactions with proteins, protein-protein interactions, drug-protein interactions, and associations of metabolites with diseases. They then use the obtained interactions map to make inferences about the disease mechanisms and novel targets. With this new technology, the team launched a biotech startup ReviveMed in 2016 having raised $1.5M of funding so far.