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Drug discovery is a cost expensive and time consuming process. Approved drugs have favorable or validated pharmacokinetic properties and toxicological profiles. Therefore repurposing approved drugs to new diseases can potentially avoid expensive costs associated with the early-stage testing. In this work, we propose to integrate drug-drug, disease-disease, gene-gene and drug-disease associations to...
Prediction the interactions between proteins (targets) and small molecules (ligands) is a critical task for the drug discovery in silico. In this work, we consider the target binding site instead of the whole target and propose a pairwise input neural network (PINN) for constructing the site-ligand interaction prediction model. Different with the ordinary artificial neural network (ANN) with one vector...
Magnetization of activated carbon is an effective approach to separate and recover the spent activated carbon. Recently, synthesis of magnetic activated carbon has become a research focus in the fields of environment. The main objective of this study is to list and compare the advantages and disadvantages of different methods to preparation of magnetic activated carbons (MAC). These methods have been...
Scale-forming ions can produce crystals in water; meanwhile, antiscalant components may react with chemicals forming insoluble matters. These particles will cause a sharp increase of water turbidity instantaneously. Hence, the change of turbidity can be utilized to judge the formation of particles and furthermore to evaluate antiscalants performance. A study is undertaken to investigate the scale...
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