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Metadata

Name
Descriptors Database
Repository
ZENODO
Identifier
doi:10.5281/zenodo.4893529
Description
The following table provides the whole descriptors database.

We are using a pool of 135 natural compounds molecules.&nbsp; For the aims of obtaining the partitioning procedure and classification, the sets of descriptors (presented in the upload file i.e., drug-like indices, molecular properties, and pharmacophore descriptors) were calculated by the AlvaDesc v. two software (https://www.alvascience.com/alvadesc/).&nbsp;

&nbsp; The pool of molecular descriptors was extended with a Pharmacophore descriptor block, which includes two different types of descriptors: CATS2D descriptors and SHED descriptors. A novel set of molecular descriptors called SHED (Shannon Entropy Descriptors) is presented. SHED is derived from the distributions of potential pharmacophore points (PPP) in the molecular structure; then, the Shannon entropy is applied to quantify the variability in a feature-pair distribution.
The CATS 2D (Chemically Advanced Template Search) descriptors are a particular case of autocorrelation descriptors. In these atom-type autocorrelation descriptors, the atom-type definition is related to the concept of potential pharmacophore points (PPP). CATS2D descriptors have been widely used for similarity searches.

Grants:

European Commission:


EOSCsecretariat.eu - EOSCsecretariat.eu (831644)


&nbsp;
Data or Study Types
multiple
Source Organization
Unknown
Access Conditions
available
Year
2021
Access Hyperlink
https://doi.org/10.5281/zenodo.4893529

Distributions

  • Encoding Format: HTML ; URL: https://doi.org/10.5281/zenodo.4893529
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.