A method for automatically generating a universal set of stereoisomers of an organic molecule. The method includes: (1) segmenting an input molecule into a group of fragments; (2) matching the obtained isomer fragments with fragment templates in a fragment template library; (3) generating all isomers of the corresponding fragments according to fragment template information; and (4) traversing all the isomer fragments and sites thereof, and assembling the fragments at the two ends of a broken bond in the step (1) according to all possible sites of a broken-bond atom to obtain all stereoisomers; and if filtering is needed, performing filtering according to a specified filtering rule.

A method for automatically generating a universal set of stereoisomers of an organic molecule. The method includes: (1) segmenting an input molecule into a group of fragments; (2) matching the obtained isomer fragments with fragment templates in a fragment template library; (3) generating all isomers of the corresponding fragments according to fragment template information; and (4) traversing all the isomer fragments and sites thereof, and assembling the fragments at the two ends of a broken bond in the step (1) according to all possible sites of a broken-bond atom to obtain all stereoisomers; and if filtering is needed, performing filtering according to a specified filtering rule.

There is described a neural network system for generating a graph, the graph comprising a set of nodes and edges. The system comprises one or more neural networks configured to represent a probability distribution over sequences of node generating decisions and/or edge generating decisions, and one or more computers configured to sample the probability distribution represented by the one or more neural networks to generate a graph.

Disclosed is a target-based drug screening method using inverse quantitative structure-(drug)performance relationships (QSPR) analysis and molecular dynamics simulation. The method includes modeling a molecular structure of a test compound group against a target molecule, obtaining a quantitative structure-(drug)performance relationships (QSPR) of the test compound group, acquiring the optimal pharmacophore of a novel target-based drug through a numerical inversion of the QSPR, and selecting drug candidates having a molecular structure similar to the optimum pharmacophore from the test compound group.

Disclosed is a target-based drug screening method using inverse quantitative structure-(drug)performance relationships (QSPR) analysis and molecular dynamics simulation. The method includes modeling a molecular structure of a test compound group against a target molecule, obtaining a quantitative structure-(drug)performance relationships (QSPR) of the test compound group, acquiring the optimal pharmacophore of a novel target-based drug through a numerical inversion of the QSPR, and selecting drug candidates having a molecular structure similar to the optimum pharmacophore from the test compound group.

A method and system for predicting a set of linking parameters that relate pharmacokinetic and pharmacodynamic effects. One or more processors receive a population dataset that comprises a population pharmacokinetic (PK) dataset and a population pharmacodynamic (PD) dataset. The one or more processors transform the population dataset into a plurality of data density images that includes a PK data density image and a PD data density image. The one or more processors predict the set of linking parameters using the plurality of data density images.

A method and system for predicting a set of linking parameters that relate pharmacokinetic and pharmacodynamic effects. One or more processors receive a population dataset that comprises a population pharmacokinetic (PK) dataset and a population pharmacodynamic (PD) dataset. The one or more processors transform the population dataset into a plurality of data density images that includes a PK data density image and a PD data density image. The one or more processors predict the set of linking parameters using the plurality of data density images.

Embodiments of the present disclosure provide a method and electronic device for generating a molecule set and a storage medium thereof. The method obtains the first initialization molecule subset from the initialization molecule set with the pre-screening model; acquires the physical information of at least one initialization molecule in the first initialization molecule subset, and screens at least one initialization molecule based on the physical information to obtain the screened molecule set; acquires the biochemical experimental evaluation value of at least one molecule in the screened molecule set; and obtains the target molecule set based on the biochemical experimental evaluation value of at least one molecule.

Embodiments of the present disclosure provide a method and electronic device for generating a molecule set and a storage medium thereof. The method obtains the first initialization molecule subset from the initialization molecule set with the pre-screening model; acquires the physical information of at least one initialization molecule in the first initialization molecule subset, and screens at least one initialization molecule based on the physical information to obtain the screened molecule set; acquires the biochemical experimental evaluation value of at least one molecule in the screened molecule set; and obtains the target molecule set based on the biochemical experimental evaluation value of at least one molecule.

In a method of molecular scaffold hopping an interface of a scheduler computer sends instructions, prepared by the scheduler computer, to a job runner computer to perform a plurality of separate computational tasks. Each of the separate computational tasks includes calculating one or more chemical properties for a query molecule or molecules in a library of molecules. One or more of the plurality of separate computational tasks performed on the job runner computer are preemptible computing instances. Status indicators sent from the job runner computer are received by the interface for each of the plurality of separate computational tasks. The indicators are one of: incomplete, completed, or failed computing instances. The interface resends the instructions to the job runner computer that correspond to the separate computational tasks having the failed computing instance indicator to increase fault-tolerance against the separate computational tasks not attaining the completed computing instance indicator.