Phytochemical informatics: An insight for biological research

Phytochemicals are profoundly used to treat different diseases across the world and have been reported in numerous traditional medicine systems. Phytochemical informatics is composed of various databases, analytical and screening methods used for phytochemical compounds. The phytochemical information stored in databases has various structures which help users to retrieve and analyze large scale data by computational methods. These databases are growing precipitously with the steep expansion of chemical information. Currently, chemical databases have wide applications from novel drug designing, virtual screening, docking, interaction studies to the development of algorithms. These are used for analyzing large scale experimental data and comparison. Chemical databases usually cover all aspects of chemical compounds viz. structure, physicochemical properties, metabolism, reaction, targets, side effects, metabolic pathways in diseases, interactions and reactions. We have compiled the latest phytochemical databases, with their features along with their application for researchers to explore and expand for defining new avenues of phytochemical informatics.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-09
DOI
https://doi.org/10.5281/zenodo.15369170
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phytochemical informatics: An insight for biological research

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Phytochemical informatics: An insight for biological research

article en

Abstract

Phytochemicals are profoundly used to treat different diseases across the world and have been reported in numerous traditional medicine systems. Phytochemical informatics is composed of various databases, analytical and screening methods used for phytochemical compounds. The phytochemical information stored in databases has various structures which help users to retrieve and analyze large scale data by computational methods. These databases are growing precipitously with the steep expansion of chemical information. Currently, chemical databases have wide applications from novel drug designing, virtual screening, docking, interaction studies to the development of algorithms. These are used for analyzing large scale experimental data and comparison. Chemical databases usually cover all aspects of chemical compounds viz. structure, physicochemical properties, metabolism, reaction, targets, side effects, metabolic pathways in diseases, interactions and reactions. We have compiled the latest phytochemical databases, with their features along with their application for researchers to explore and expand for defining new avenues of phytochemical informatics.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 50%
Computational Drug Discovery Methods
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.