Sentence examples for between two molecules we from inspiring English sources

In order to calculate the pairwise similarity between two molecules we use Tanimoto similarity scores, [26] which we transform into probabilities (p-values) using an appropriate kernel function.

Regarding the strength of interaction between two molecules, we can assess it by determining the value of binding affinity, K A. Among these five mutant aptamers, the Seq15_12_35 had the largest K A value, and Seq16 had the worst K A value.

A key question remains: how can sequence information be compared between two molecules in which base pairs are not in register?

In order to quantify the level of similarity between the fingerprints of two molecules we applied the well-known Tanimoto-similarity coefficient [ 29].

To strengthen the evidence of interactions between the two molecules, we took advantage of the experimental conditions and tools developed to assess the oligomerization states occurring as part of the ATPase cycle of the ABCA1 transporter.

To represent a diffusion dependent event (such as a translocation to a different compartment, or collision between two molecules) by means of a temporal delay, we generated appropriate probability and cumulative distribution functions (PDF and CDF, respectively).

Although there is only one molecule in the crystallographic asymmetric unit for the crystal structure of Arabidopsis GrxS14 (Li et al., 2010), we found that a similar dimer interface exists between two molecules in two asymmetric units (Fig. S5B).

We also developed this scheme to measure the average proximity between two molecules of the same protein, and demonstrated its use by measuring the distance between adjacent molecules of γ-tubulin in the γ-TuRC.

The system of differential equations in Model 1 is expressed as follows: (4) We assume that the model expresses the binding and dissociation between two molecules, and that only one complex, x AB, can be measured.

Therefore we further extended the original code to compute substructure search and MCS between two molecules.

Here, we present similarity maps, a general approach for the visualization of both fingerprint similarities between two molecules and machine-learning (ML) model predictions.