In the SARS-CoV-2 mutation portal you can analyze where the different types of mutations occur and what their frequency has been. Thanks to https://t.co/zuBpjMKKCt for their invaluable help in developing this database. @cheminform_URV
The SARS-CoV-2 mutational portal is out. It contains SARS-CoV-2 mutation data derived from the analysis of more than 4.5 million complete genomes available in GISAID. More info at https://t.co/YzsapXKzEW
Our first paper in collaboration with the ASCLEPIUS research group at URV is now available and opens the door to coupling quantitative prediction of bioactivity in virtual screening to find new non-covalent M-pro inhibitors of SARS-CoV-2. https://t.co/W494q23Zuf
New doctoral dissertation in our research group next Monday May 15: : "Studying the limits of protein-ligand docking to predict new non-covalent inhibitors for the SARS-CoV-2 main protease" by Guillem Macip Sancho.
Our paper "Prediction of Recurrent Mutations in SARS-CoV-2 Using Artificial Neural Networks" has been just published in IJMS. Our results can be used to find antiviral drugs that will be effective against future SARS-CoV-2 mutations. More information at https://t.co/6aImyX9t1R
Our paper "Prediction of Recurrent Mutations in SARS-CoV-2 Using Artificial Neural Networks" has been just published in IJMS. Our results can be used to find antiviral drugs that will be effective against future SARS-CoV-2 mutations. More information at https://t.co/6aImyX9t1R
@covid_moonshot@rachaelskyner We are very proud that our team has been selected by the MEDIATE project with the donation of a VR-GPU workstation that will help us improve our research on SARS-CoV-2 M-pro inhibition. Thanks @exscalate4cov, @DompeFarma !!! https://t.co/8KXAf872TR
@JorgensenWL@cenmag@IJMS_MDPI (Celecoxib, Carprofen and Sarafloxacin were the three other ones). The remaining three ones have not been experimentally tested but one of them (Alprazolam) could be of interest also for your SAR studies. You can have more information about how we make these succesful predictions