Abstract: A coenzyme Q10 slow-release drug includes an isolation layer and a drug layer, where the drug layer is composed of coenzyme Q10 and a pharmaceutically acceptable carrier; the isolation layer is composed of a degradable gel; a diameter of the drug layer is not larger than that of the isolation layer. The coenzyme Q10 slow-release drug is prepared as follows. (S1) The degradable gel is laid on a mold for casting into a film to form the isolation layer. (S2) Coenzyme Q10 and the pharmaceutically acceptable carrier are mixed and laid on the mold in step (S1) for casting to form the drug layer on the isolation layer. (S3) Steps (S1) and (S2) are repeated, and then edges of adjacent controlled-release layers are bonded to obtain the coenzyme Q10 slow-release drug.

Abstract: A coenzyme Q10 slow-release drug includes an isolation layer and a drug layer, where the drug layer is composed of coenzyme Q10 and a pharmaceutically acceptable carrier; the isolation layer is composed of a degradable gel; a diameter of the drug layer is not larger than that of the isolation layer. The coenzyme Q10 slow-release drug is prepared as follows. (S1) The degradable gel is laid on a mold for casting into a film to form the isolation layer. (S2) Coenzyme Q10 and the pharmaceutically acceptable carrier are mixed and laid on the mold in step (S1) for casting to form the drug layer on the isolation layer. (S3) Steps (S1) and (S2) are repeated, and then edges of adjacent controlled-release layers are bonded to obtain the coenzyme Q10 slow-release drug.

Abstract: In some embodiments, a method of determining a molecular structure of a protein is provided. A computing system receives voxel data representing electron density obtained via cryo-electron microscopy. The computing system uses one or more neural networks to predict one or more likelihoods for each voxel. The computing system determines a backbone structure based on the predicted likelihoods. The computing system maps amino acid sequences to the backbone structure based on the predicted likelihoods. Mapping the amino acid sequences to the backbone structure based on the predicted likelihoods includes conducting an alignment technique that uses a reward function and a gap penalty. The computing system determines locations of carbon, nitrogen, and oxygen atoms within the backbone structure based on the predicted likelihoods. The computing system determines side-chain atoms based on the predicted backbone structure and the amino acid sequences to complete the molecular structure.