The invention relates to the technical field of bioengineering and provides a method for improving the specificity and affinity of an aptamer. The method includes: S1, screening a target of an aptamer from a compound information database by virtual computing; S2, verifying the screening result in Step S1 through experiments; S3, performing virtual saturation mutation on a site of the aptamer, and screening out a mutation site of the aptamer; S4, performing base substitution to the mutation site of the aptamer; and S5, detecting the binding parameter of the aptamer after base substitution with the target screened in Step S1, and selecting an aptamer with improved specificity and affinity after base substitution. An efficient molecular design-guided method is developed by computer rational calculation, to improve the specificity and binding affinity of the aptamer by directional modification. The present invention is of great significance for the practical application of aptamers.

The invention relates to the technical field of bioengineering and provides a method for improving the specificity and affinity of an aptamer. The method includes: S1, screening a target of an aptamer from a compound information database by virtual computing; S2, verifying the screening result in Step S1 through experiments; S3, performing virtual saturation mutation on a site of the aptamer, and screening out a mutation site of the aptamer; S4, performing base substitution to the mutation site of the aptamer; and S5, detecting the binding parameter of the aptamer after base substitution with the target screened in Step S1, and selecting an aptamer with improved specificity and affinity after base substitution. An efficient molecular design-guided method is developed by computer rational calculation, to improve the specificity and binding affinity of the aptamer by directional modification. The present invention is of great significance for the practical application of aptamers.

A method for making a modified release composition, comprising: selecting a desired active agent and polymer matrix for formulating into a modified release composition; assessing degradation effect on release of the active agent from the composition including plotting polymer molecular weight (M.sub.wr) at onset of active agent release vs. active agent molecular weight (M.sub.wA); predicting performance of multiple potential formulations for the composition based on the degradation assessment and average polymer matrix initial molecular weight (M.sub.wo) to define a library of building blocks; determining the optimal ratio of the building blocks to satisfy a specified release profile; and making a modified release composition based on the optimal ratio determination.

A method for making a modified release composition, comprising: selecting a desired active agent and polymer matrix for formulating into a modified release composition; assessing degradation effect on release of the active agent from the composition including plotting polymer molecular weight (M.sub.wr) at onset of active agent release vs. active agent molecular weight (M.sub.wA); predicting performance of multiple potential formulations for the composition based on the degradation assessment and average polymer matrix initial molecular weight (M.sub.wo) to define a library of building blocks; determining the optimal ratio of the building blocks to satisfy a specified release profile; and making a modified release composition based on the optimal ratio determination.

Systems and methods for computer-aided vaccine design may comprise performing one or more molecular dynamics simulations of a protein assembly having at least one epitope, determining a fluctuation measurement for the at least one epitope using the one or more molecular dynamics simulations, and predicting the immunogenicity of the protein assembly in response to the fluctuation measurement are disclosed.

Systems and methods for computer-aided vaccine design may comprise performing one or more molecular dynamics simulations of a protein assembly having at least one epitope, determining a fluctuation measurement for the at least one epitope using the one or more molecular dynamics simulations, and predicting the immunogenicity of the protein assembly in response to the fluctuation measurement are disclosed.

The present invention relates to methods for the analysis of nucleic acids present in biological samples, and more specifically to normalize a high resolution melt curve to assist in the identification of one or more properties of the nucleic acids. The present invention provides methods and systems that incorporate a background identification algorithm according to invention principles using raw melt curve data to identify reactions that are unrelated actual DNA melt reactions. Furthermore, a web-based application for analyzing experimental data is provided. The raw experimental data obtained from a variety of instruments is processed and analyzed on a server and presented to a user through a user interface (UI).

The present disclosure relates to a scalable experimental workflow that uses a culture system to maintain a steady state in a biological system, and techniques for identifying values for parameters in a in silico model based on experimental data obtained from the biological system. Particularly, aspects of the present disclosure are directed to obtaining measurement data for one or more characteristics of a biological system developed in a culture system, where the measurement data is indicative of each of the one or more characteristics at a physiological steady state where growth of the biological system is occurring at a substantially constant growth rate, determining a value for a parameter of a model of the biological system based on an growth formula, the measurement data, and the substantially constant growth rate, and parametrizing the model with at least the value determined for the parameter.

A computer-implemented method for training a neural network for inferring a gene expression profile. The method includes obtaining a matrix of potential regulations between genes of a set of genes of a sequence of reference genome, obtaining a neural network having an input layer of nodes and an output layer of nodes, the input layer and the output layer having an equivalent node for representing each gene of the set of genes of the sequence of the reference genome, each node of the input layer representing a regulator gene and each node of the output layer representing a regulated gene, adding connections to the neural network from the nodes of the input layer to the nodes of the output layer, the added connections being extracted from the obtained matrix of potential regulations, training the neural network by using a set of gene expression profiles of the observed biological process, each connection of the trained the neural network being weighted, and removing connections of the trained neural network having an insignificant weight value.

There is provided a method comprising: receiving a graph comprising nodes with directional edges each associated with a variable weight representing an interaction strength of the respective direction edge adjustable according to a respective range; calculating a current global value defined by a function of the variable weights of the directional edges; calculating a mismatch between the current global value and a desired global value, wherein multiple different combinations of assigned variable weights of the directional edges are associated with the desired global value within the tolerance requirement; determining when the mismatch is within a tolerance requirement representing desired global values; and one of: randomly adjusting the variable weights of the directional edges within the respective range, and iterating the calculating the mismatch and determining when the mismatch is not within the tolerance requirement, and outputting determined values for the variable weights when the mismatch is within the tolerance requirement.