Literature DB >> 32047598

Functional group and diversity analysis of BIOFACQUIM: A Mexican natural product database.

Norberto Sánchez-Cruz1, B Angélica Pilón-Jiménez1, José L Medina-Franco1.   

Abstract

Background: Natural product databases are important in drug discovery and other research areas. An analysis of its structural content, as well as functional group occurrence, provides a useful overview, as well as a means of comparison with related databases. BIOFACQUIM is an emerging database of natural products characterized and isolated in Mexico. Herein, we discuss the results of a first systematic functional group analysis and global diversity of an updated version of BIOFACQUIM. <br> Methods: BIOFACQUIM was augmented through a literature search and data curation. A structural content analysis of the dataset was performed. This involved a functional group analysis with a novel algorithm to automatically identify all functional groups in a molecule and an assessment of the global diversity using consensus diversity plots. To this end, BIOFACQUIM was compared to two major and large databases: ChEMBL 25, and a herein assembled collection of natural products with 169,839 unique compounds. <br> Results: The structural content analysis showed that 15.7% of compounds and 11.6% of scaffolds present in the current version of BIOFACQUIM have not been reported in the other large reference datasets. It also gave a diversity increase in terms of scaffolds and molecular fingerprints regarding the previous version of the dataset, as well as a higher similarity to the assembled collection of natural products than to ChEMBL 25, in terms of diversity and frequent functional groups. Conclusions: A total of 148 natural products were added to BIOFACQUIM, which meant a diversity increase in terms of scaffolds and fingerprints. Regardless of its relatively small size, there are a significant number of compounds and scaffolds that are not present in the reference datasets, showing that curated databases of natural products, such as BIOFACQUIM, can serve as a starting point to increase the biologically relevant chemical space. Copyright:
© 2020 Sánchez-Cruz N et al.

Entities:  

Keywords:  Consensus Diversity Plot; compound databases; data mining; diversity; functional groups; in silico; natural products

Mesh:

Substances:

Year:  2019        PMID: 32047598      PMCID: PMC6993822.2          DOI: 10.12688/f1000research.21540.2

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


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