Please select the most similar patent number from A, B, C and D. Which number is?
A system and a method for virtual drug screening for crystalline complexes, comprising a visualization sub-system, an evaluation toolbox sub-system, an AI model management sub-system, a large scale sampling sub-system, a virtual screening sub-system, and a data log storage sub-system. The system begins from a known crystalline complex, and sequentially passes said complex through the visualization sub-system, the evaluation toolbox sub-system, the AI model management sub-system, the large scale sampling sub-system, the virtual screening sub-system, and then recommends a group of candidate compounds that meet requirements. On the basis of the system, the generation of a compound library and subsequent virtual filtering are organically combined. A user need only describe the mode of action of a drug on a protein and the requirements the drug must have, and a group of compounds that meet expectations can be generated. The automated system reduces user intervention and improves development efficiency.
A: A municipal solid waste treatment and utilization system is formed by eight subsystems: a stacking subsystem A, a smashing and screening subsystem B, a pyrolysis gasification subsystem C, a combustion subsystem D, a hot electron subsystem E, a waste heat recycling and utilization subsystem F, a flue gas treatment and reutilization subsystem G, and a solid slag recycling and reutilization subsystem H. In the process of the system, waste does not need to be treated separately according to classification, and the problems that a large quantity of land is occupied in existing landfill processes and various released noxious and harmful greenhouse gases are emitted into the atmosphere during waste decomposition are solved, and the problem that a large quantity of noxious and harmful substances and smoke like dioxin are emitted to the atmosphere in existing waste incineration processes or existing pyrolysis gasification processes is also solved.
B: A method for establishing a molecular structure and activity database, comprising: searching a compound database to obtain all compounds related to selected targets, recording relevant information of the compounds, and converting external data into a standardized format according to requirements; checking the data to ensure the accuracy of the data; uploading the checked data to a MongoDB database via a stored temporary file; a user sending a retrieval request to a data retrieval module via an SDK, selecting a specific target according to requirements of the user, and extracting all data including the target; calling a structure-activity analysis module in Jupyter, and according to a core structure inputted by a user and a similarity requirement, performing sub-structure matching and similarity comparison calculations on the structure and structures in the database. The method is suitable for computer-aided drug design and drug screening such as virtual screening, and implements semi-automated data collection and data cleaning to generate a standardized database.
C: An artificial intelligence application developing system (100), a computer device and a storage medium, belonging to the field of artificial intelligence. Said system (100) comprises: a neural network generation subsystem (101) for constructing, training and verifying a neural network model; a neural network hardware execution subsystem (102) for accepting data input into the neural network model and outputting a result after being calculated by the neural network model; and a deployment subsystem (103) for compiling a neural network model generated by the neural network generation subsystem (101) and then deploying same to the neural network hardware execution subsystem (102). By constructing and training a neural network model by means of the visualized neural network generation subsystem (101), and automatically deploying the trained neural network model to the neural network hardware execution subsystem (102) by means of the deployment subsystem (103) for execution, the present invention can lower the threshold of artificial intelligence application development, and improve the development efficiency.
D: A data docking method and apparatus, a computer device, and a storage medium. The method comprises: loading docking plugins of subsystems according to a configuration file (S100); sending a data read instruction to the docking plugins (S200); receiving system data obtained from the corresponding subsystems by the docking plugins according to the data read instruction (S300); and uploading the system data to a visualization system, so that the visualization system can read the corresponding system data when executing a visualization operation (S400). The method solves the problem that a plurality of different applications need to be developed in the visualization system for docking with the subsystems due to different protocols and interfaces provided by the subsystems; and during the subsequent maintenance and update of the interfaces of the subsystems, only the docking plugins corresponding to the subsystems need to be updated, so that a heavy workload is reduced and the working efficiency is improved.
Answer: B