Scienmag
AUGUST 11, 2020
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.
pharmaphorum
MARCH 7, 2022
The approach combines phenotypic screening, proteomics, and genomics-based technologies with machine learning-powered analysis of data, avoiding the use of standard growth inhibition assays which can be slow and may miss potentially promising mechanisms. million deaths a year, according to the 2019 Gram Report. Dr Zemer Gitai.
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Scienmag
OCTOBER 6, 2021
Researchers at the Centre for Genomic Regulation (CRG) and Pulmobiotics S.L have created the first ‘living medicine’ to treat antibiotic-resistant bacteria growing on the surfaces of medical implants. Credit: María Lluch/CRG Researchers at […].
Drug Discovery World
FEBRUARY 6, 2024
Researchers from the University of Oslo, University of Chicago Pritzker School of Medicine, and Insilico Medicine used an AI target discovery engine to analyse transcriptomic data to identify dual targets for cancer and ageing 5. Digital tech is also helping researchers to find target candidates for some of the most challenging disease areas.
pharmaphorum
NOVEMBER 10, 2021
That’s according to a newly published report from the US National Academies of Sciences, Engineering, and Medicine, which calls for a One Health approach that recognises the scale of the challenge, and the interconnectivity of its potential solutions. Surveillance.
The Pharma Data
OCTOBER 19, 2020
By leveraging the comprehensive genomic, transcriptomic and proteomic profiling available through the Caris Molecular Intelligence® platform, physicians from Winship will be able to further prioritize therapeutic options and determine which clinical trial opportunities may benefit their patients.
Scienmag
MAY 27, 2021
Credit: LIU Yang Researchers from the Single-Cell Center at the Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT) of the Chinese Academy of Sciences have developed a technique to sort and sequence the genome of bacteria in soil one bacterial cell at a time, while also identifying what its function is in the soil environment. […]. (..)
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