A Computer Program for Classifying Plants.

By D. Rogers, T. T. Tanimoto. 1960

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Citations in the corpus

Efficient searching and annotation of metabolic networks using chemical similarity (2015, methodology): “S1) fingerprint similarity measured using the Tanimoto coefficient (Rogers and Tanimoto, 1960) (s) to guide the network search, making the use of traditional pathway search algorithms a more tractable undertaking.”
Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “…numerical descriptions of similarity listed in Table 5,wewillfirst consider those networks, which are based on simple chemical similarity of the compounds involved using e.g. the Tanimoto-coefficient for the definition of edges (Rogers & Tanimoto, 1960; Tanaka et al., 2009; Bickerton et al., 2012).”
Nearest-Neighbor Searching and Metric Space Dimensions (2005, background): “The special case for finite sets |A∆B|/|A ∪ B| is called the Tanimoto distance [RT60], resemblance [Bro97], set similarity distance [Cha02], Jaccard distance [Jac01, Spa80], or Marczewski-Steinhaus distance [MS58].”
BRENDA in 2019: a European ELIXIR core data resource (2018, methodology): “In the similarity search only the fingerprint scan is carried out taking into account the Tanimoto coefficient (26) - a measure for similarity - and the previously user-defined minimal similarity as lower boundary.”
The incorporation of protein flexibility and conformational energy penalties in docking screens to improve ligand discovery (2014, background): “The new hits differed from previously known ligands: the highest pairwise topological similarity to these, using ECFP4-based Tanimoto 47 coefficients, was 0.36 (Suppl.”
COFACTOR: improved protein function prediction by combining structure, sequence and protein–protein interaction information (2017, methodology): “Different ligands within the same binding pocket are further grouped by the average linkage clustering with chemical similarity, using the Tanimoto coefficient (22) with a cut-off of 0.”
Cryptanalysis of Basic Bloom Filters Used for Privacy Preserving Record Linkage (2014, methodology): “For example, the British Office for National Statistics considered several methods for linking administrative data within the Beyond 2011 Programme, but refrained from all “(. . . ) recent innovations, such as bloom filter encryption (. . . )” since they “(. . . ) have not been fully explored from a”
Ligand placement based on prior structures: the guided ligand-replacement method (2013, methodology): “The Tanimoto coefficient (Rogers & Tanimoto, 1960) is one way to quantify the similarity between two fingerprints [0 (no compared features match) Tanimoto coefficient 1 (all compared features match)].”
A model for spectra-based software diagnosis (2011, background): “Botany has also spawned several other metrics: Ochiai [1957], Russell and Rao [1940], Sorensen and Dice [Dice 1945; Duarte et al. 1999], Rogers and Tanimoto [1960] , Anderberg [1973] and Simple-Matching [Meyer et al. 2004].”