Changes for page MEDIUM - Machine lEarning Drug dIscovery throUgh dynaMics
Last modified by emacasali on 2023/01/11 16:05
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... ... @@ -4,9 +4,10 @@ 4 4 ((( 5 5 = MEDIUM - Machine lEarning Drug dIscovery throUgh dynaMics = 6 6 7 -= = 7 +(% class="wikigeneratedid" %) 8 += = 8 8 9 - GiorgioColombo Group (UNIPV)10 +ML-based DF classification tool 10 10 ))) 11 11 ))) 12 12 ... ... @@ -14,14 +14,12 @@ 14 14 ((( 15 15 (% class="col-xs-12 col-sm-8" %) 16 16 ((( 17 -= Wh ythistoolisuseful? =18 += What can I find here? = 18 18 19 -The prediction of the best ligand for a specific protein could be a huge challenge using the classical approaches like molecular docking and stabilisation energy calculations. 20 +* Notice how the table of contents on the right 21 +* is automatically updated 22 +* to hold this page's headers 20 20 21 -Here we report on a fast and solid workflow which starts from our DF-matrix method to analyse how the protein globally behaves in the presence of a ligand. Machine Learning (ML) trains a Convolutional Neural Network (CNN) model directly on the pixel images of DF: train is preformed using a known ligand and the different behaviour of the protein is evaluated in the presence and in absence of it. 22 - 23 -With the so trained model further predictions can be performed using different ligands. 24 - 25 25 = Who has access? = 26 26 27 27 Describe the audience of this collab.