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okay so uh first let me uh get some review uh introduce some background knowledge um first is the protein legal modeling and as you know thats pretty pretty predicting the strength of a candidate shark a drug molecules interaction with their target protein is a challenge but crucial tasks for drug Discovery applications in order to represent represent them there are several choices for example the low dimensional representation such as linear synchronous uh is 1D or chemical bound graphs is two-dimensional or some more advanced no representations such as consider uh considering the 3D positions of the component atoms allows for better modeling of 3D shape uh so um today is Chase Tommy focused on the Deep learning side so um we we mainly take on review take review of The Deep learning models and it they can be roughly divided into three categories first is the sequence based modeling including the Deep DTA the product chance um for deep DTA you would just feed the feed the smiles of s
