Empowering scientific inquiry, DCPP possesses the remarkable ability to predict and elucidate the co-assembly dynamics of a pair of drug molecules, while also offering insightful drug-pathway association predictions. Harnessing the power of multimodal models, DCPP ignites new horizons for co-assembled drug discovery, achieving unprecedented accuracy with an average BACC of 99.26% on validation sets. Our platform beckons you into an immersive journey, delving deeply into the intricate realm of drug-pathway interactions unlocking a profound understanding of their mechanisms.
With the collective aspiration to drive scientific understanding, we envision DCPP as a catalyst in unraveling the labyrinthine mechanisms that underlie drug co-assembly.
Here is an example of input information, contains the names and SMILES sequences of the two drug molecules, as well as project name.
Name of Drug A: Curcumin Name of Drug B: 10-Gingerol SMILES sequence of Drug A: COc1cc(ccc1O)\C=C\C(=O)CC(=O)\C=C\c1ccc(O)c(OC)c1 SMILES sequence of Drug B: CCCCCCCCC[C@H](O)CC(=O)CCc1ccc(O)c(OC)c1 Project Title: Curcumin&10-GingerolBeiHang University XueYuan Road No.37,HaiDian District,BeiJing,China
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