Chemoinformatic Characterization of NAPROC-13: A Database for Natural Product <sup>13</sup> C NMR Dereplication

Natural products (NPs) are secondary metabolites of natural origin with broad applications across various human activities, particularly the discovery of bioactive compounds. Structural elucidation of new NPs entails significant cost and effort. On the other hand, the dereplication of known compounds is crucial for the early exclusion of irrelevant compounds in contemporary pharmaceutical research. NAPROC-13 stands out as a publicly accessible database, providing structural and <sup>13</sup>C NMR spectroscopic information for over 25 000 compounds, rendering it a pivotal resource in natural product (NP) research, favoring open science. This study seeks to quantitatively analyze the chemical content, structural diversity, and chemical space coverage of NPs within NAPROC-13, compared to FDA-approved drugs and a very diverse subset of NPs, UNPD-A. Findings indicated that NPs in NAPROC-13 exhibit properties comparable to those in UNPD-A, albeit showcasing a notably diverse array of structural content, scaffolds, ring systems of pharmaceutical interest, and molecular fragments. NAPROC-13 covers a specific region of the chemical multiverse (a generalization of the chemical space from different chemical representations) regarding physicochemical properties and a region as broad as UNPD-A in terms of the structural features represented by fingerprints.

Authors

Institutions

Publication Details

Journal
Journal of Natural Products
Published
2024-09-13
DOI
https://doi.org/10.1021/acs.jnatprod.4c00530
Citations
4
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.45

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chemoinformatic Characterization of NAPROC-13: A Database for Natural Product 13 C NMR Dereplication

Javier E. Sánchez-Galán, José Luis López‐Pérez, José L. Medina‐Franco, Juan F. Avellaneda-Tamayo et al.
4 citations
Journal of Natural Products
Computational Drug Discovery Methods
1.45
article

Chemoinformatic Characterization of NAPROC-13: A Database for Natural Product 13 C NMR Dereplication

Javier E. Sánchez-Galán, José Luis López‐Pérez, José L. Medina‐Franco, Juan F. Avellaneda-Tamayo, Naicolette A. Agudo-Muñoz
article en
4 citations

Abstract

Natural products (NPs) are secondary metabolites of natural origin with broad applications across various human activities, particularly the discovery of bioactive compounds. Structural elucidation of new NPs entails significant cost and effort. On the other hand, the dereplication of known compounds is crucial for the early exclusion of irrelevant compounds in contemporary pharmaceutical research. NAPROC-13 stands out as a publicly accessible database, providing structural and <sup>13</sup>C NMR spectroscopic information for over 25 000 compounds, rendering it a pivotal resource in natural product (NP) research, favoring open science. This study seeks to quantitatively analyze the chemical content, structural diversity, and chemical space coverage of NPs within NAPROC-13, compared to FDA-approved drugs and a very diverse subset of NPs, UNPD-A. Findings indicated that NPs in NAPROC-13 exhibit properties comparable to those in UNPD-A, albeit showcasing a notably diverse array of structural content, scaffolds, ring systems of pharmaceutical interest, and molecular fragments. NAPROC-13 covers a specific region of the chemical multiverse (a generalization of the chemical space from different chemical representations) regarding physicochemical properties and a region as broad as UNPD-A in terms of the structural features represented by fingerprints.

Journal of Natural ProductsVol. 87(9)
Universidad de Panamá (PA), Universidad de Salamanca (ES), Instituto de Investigación Biomédica de Salamanca (ES), Universidad Tecnológica de Panamá (PA), Universidad Nacional Autónoma de México (MX)
Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México
Zero hunger
Openalex Percentile: Top 16%
Computational Drug Discovery Methods
1.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.