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NSF backs bioinformatics approach to understanding plant RNA modifications

Scienmag

Led by Boyce Thompson Institute’s Andrew Nelson, four partners will identify RNA modifications and develop resources that may lead to hardier crops Credit: Photo credit: Anna Nelson Dittrich ITHACA, NY, August 4, 2020 — RNA perform a variety of functions in cells, helping with everything from regulating genes to building proteins.

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How bacteria adapt their machinery for optimum growth

Scienmag

Bioinformatics: publication in Nature Communications The most important components for the functioning of a biological cell are its proteins. As a result, protein production is arguably the most important process for cell growth. The faster the bacterial growth rate, the faster protein synthesis needs to take place.

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Computer vision helps find binding sites in drug targets

Scienmag

Scientists from the iMolecule group at Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) developed BiteNet, a machine learning (ML) algorithm that helps find drug binding sites, i.e. potential drug targets, in proteins. BiteNet can analyze 1,000 protein structures in 1.5

Drugs 59
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SFU and UBC researchers collaborate to understand the role of caveolin-1 in cancer

Scienmag

CAV1 is a protein associated with poor outcomes in aggressive breast and prostate cancer. Credit: SFU SFU computing science professor Ghassan Hamarneh is using his medical imaging analysis expertise to help UBC researchers understand the role of caveolin-1 (CAV1) in certain cancer types.

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The future of AI drug discovery & development in immunology and GPCR research

pharmaphorum

A mere six months ago Verily launched the study with Sosei Heptares – a global leader in GPCR structure-based drug design – with an aim to “prioritise protein targets for therapeutic targeting in immune-mediated disease”. What, then, is the solution? About the interviewee.

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Country focus: Hungary carves out a niche in digital pharma

pharmaphorum

“For example, you can simulate what would happen if you inhibited thousands of different proteins in thousands of different cell models.”. They go into bioinformatics”. But with a host of well-educated doctors, biologists, engineers and software developers in the country, this gap has been filled by a strong digital health ecosystem.

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For bacteria, a small genome means some serious decluttering — even in the ribosome

Scienmag

Researchers from Skoltech, Lomonosov Moscow State University, and the Kharkevich Institute for Information Transmission Problems have studied the genomes of some 200 strains of bacteria to determine which proteins in the ribosome, part of the key cell machinery, can be safely lost and why.