# What is the Tanimoto coefficient?

## What is the Tanimoto coefficient?

Simply put, the Tanimoto Coefficient uses the ratio of the intersecting set to the union set as the measure of similarity. Represented as a mathematical equation: In this equation, N represents the number of attributes in each object (a,b). C in this case is the intersection set.

**How do you find the coefficient of Tanimoto?**

The Tanimoto coefficient is defined as c/(a+b+c), which is the proportion of the features shared among two compounds divided by their union.

### What is Tanimoto?

In the Tanimoto Algorithm A and B are sets of fingerprint bits on in the fingerprints of molecule A and molecule B. AB is the set of common bits of fingerprints of both molecule A and B. The Tanimoto coefficient ranges from 0 when the fingerprints have no bits in common, to 1 when the fingerprints are identical.

**What are similar chemical compounds called?**

molecular similarity

Chemical similarity (or molecular similarity) refers to the similarity of chemical elements, molecules or chemical compounds with respect to either structural or functional qualities, i.e. the effect that the chemical compound has on reaction partners in inorganic or biological settings.

#### How is Jaccard coefficient calculated?

Count the number of members which are shared between both sets. Count the total number of members in both sets (shared and un-shared). Divide the number of shared members (1) by the total number of members (2). Multiply the number you found in (3) by 100.

**Is Jaccard distance a metric?**

Jaccard distance is commonly used to calculate an n × n matrix for clustering and multidimensional scaling of n sample sets. This distance is a metric on the collection of all finite sets.

## What is Manhattan distance formula?

The Manhattan Distance between two points (X1, Y1) and (X2, Y2) is given by |X1 – X2| + |Y1 – Y2|.

**What is a chemical fingerprint?**

A unique pattern indicating the presence of a particular molecule, based on specialized analytic techniques such as mass- or x-ray-spectroscopy, used to identify a pollutant, drug, contaminant, or other chemical in a test sample. …

### What is Jaccard coefficient example?

A similar statistic, the Jaccard distance, is a measure of how dissimilar two sets are. It is the complement of the Jaccard index and can be found by subtracting the Jaccard Index from 100%. For the above example, the Jaccard distance is 1 – 33.33% = 66.67%.

**Which is the correct formula for the Tanimoto coefficient?**

The Tanimoto coefficient is defined as c/ (a+b+c), which is the proportion of the features shared among two compounds divided by their union. The variable c is the number of features (or on-bits in binary fingerprint) common in both compounds, while a and b are the number of features that are unique in one or the other compound, respectively.

#### What is the Tanimoto coefficient in binary fingerprint?

The variable c is the number of features (or on-bits in binary fingerprint) common in both compounds, while a and b are the number of features that are unique in one or the other compound, respectively. The Tanimoto coefficient has a range from 0 to 1 with higher values indicating greater similarity than lower ones.

**What is the Tanimoto value for molecular similarity?**

Since then, this Tanimoto value of 0.85 has been used in many studies as a general threshold for molecular similarity evaluation. However, as demonstrated in several studies [3], different molecular fingerprints give different similarity score distributions.

## Why is Tanimoto Index an appropriate choice for group fusion?

In an earlier work, they identified the Tanimoto coefficient as the best similarity metric for group fusion [ 18 ]. It is worth noting that despite the generally positive findings about the applicability of the Tanimoto coefficient, several of its weaknesses have also been reported from as early as in a 1998 study by Flower [ 19 ].