Open Access
Open access
Oxford University Press
Bioinformatics
,  volume 39 ,  issue 7

CCIBP: A Comprehensive Cosmetic Ingredients Bioinformatics Platform

Publication type: Journal Article
Publication date: 2023-07-01
Oxford University Press
scimago Q1
wos Q1
SJR: 2.451
CiteScore: 9.6
Impact factor: 5.4
ISSN: 13674803, 13674811, 14602059
Biochemistry
Computer Science Applications
Molecular Biology
Statistics and Probability
Computational Mathematics
Computational Theory and Mathematics
Abstract
Summary

Cosmetics form an important part of our daily lives, and it is therefore important to understand the basic physicochemical properties, metabolic pathways, and toxicological and safe concentrations of these cosmetics molecules. Therefore, comprehensive cosmetic ingredients bioinformatics platform (CCIBP) was developed here, which is a unique comprehensive cosmetic database providing information on regulations, physicochemical properties, and human metabolic pathways for cosmetic molecules from major regions of the world, whilst also correlating plant information in natural products. CCIBP supports formulation analysis, efficacy component analysis, and also combines knowledge of synthetic biology to facilitate access to natural molecules and biosynthetic production. CCIBP, empowered with chemoinformatics, bioinformatics, and synthetic biology data and tools, presents a very helpful platform for cosmetic research and development of ingredients.

Availability and implementation

CCIBP is available at: http://design.rxnfinder.org/cosing/

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GOST |
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GOST Copy
Gong L. et al. CCIBP: A Comprehensive Cosmetic Ingredients Bioinformatics Platform // Bioinformatics. 2023. Vol. 39. No. 7.
GOST all authors (up to 50) Copy
Gong L., Zhang R., Han M., Hu Q. CCIBP: A Comprehensive Cosmetic Ingredients Bioinformatics Platform // Bioinformatics. 2023. Vol. 39. No. 7.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1093/bioinformatics/btad416
UR - https://doi.org/10.1093/bioinformatics/btad416
TI - CCIBP: A Comprehensive Cosmetic Ingredients Bioinformatics Platform
T2 - Bioinformatics
AU - Gong, Linlin
AU - Zhang, Rui
AU - Han, Mengying
AU - Hu, Qian-Nan
PY - 2023
DA - 2023/07/01
PB - Oxford University Press
IS - 7
VL - 39
PMID - 37399096
SN - 1367-4803
SN - 1367-4811
SN - 1460-2059
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Gong,
author = {Linlin Gong and Rui Zhang and Mengying Han and Qian-Nan Hu},
title = {CCIBP: A Comprehensive Cosmetic Ingredients Bioinformatics Platform},
journal = {Bioinformatics},
year = {2023},
volume = {39},
publisher = {Oxford University Press},
month = {jul},
url = {https://doi.org/10.1093/bioinformatics/btad416},
number = {7},
doi = {10.1093/bioinformatics/btad416}
}