VirMolAnalyte AI-Driven Metabolite Identification Tool

VirMolAnalyte: Metabolite Identification Tool

Introduction

VirMolAnalyte is an advanced AI-driven tool designed for identifying metabolites from plant, human, microbial, and drug sources. Based on 13C NMR (Nuclear Magnetic Resonance) data, this tool aims to provide researchers with an efficient and accurate solution for metabolite analysis.

VirMolAnalyte Tool Illustration

Features

  • Computer-generated data: All data is generated by computer algorithms, ensuring efficiency and consistency.
  • Multi-dimensional data comparison: Supports analysis across multiple data dimensions, helping researchers gain deep insights into metabolite characteristics and their relationships.
  • Open-source data: All data is open-source, facilitating independent research and secondary development, promoting scientific collaboration and exchange.

Development Team

This tool is developed by the team from the Kunming Institute of Botany, Chinese Academy of Sciences, dedicated to advancing metabolite identification research.

Database

The research database includes a basic database and specific category databases:

  • AllDB: Also known as Metabolites Multidimensional In Silico Database (MMDB), comprising information on 605,735 metabolites.
  • PlantDB: An in silico database of plant-derived metabolites, containing 188,478 metabolites.
  • HMDB: An in silico database primarily focused on human-derived metabolites, including 217,347 metabolites.
  • MicroDB: An in silico database of microbial-derived metabolites, encompassing 36,427 metabolites.
  • DrugDB: An in silico database focused on drug-related compounds and their metabolites, including 4,280 metabolites.

Filters

The filters include three types: Carbon Number Filter (CNF), Carbon Type Number Filter (CTNF), and Molecular Weight Filter (MWF).

Evaluators

  • Chemical Shift Search-based evaluators: CSS and AAS
  • Molecular Fingerprint Search-based evaluator: FPS
  • Chemical Shift and Molecular Fingerprint-based evaluator: FPAACS

Data Analysis

Welcome to our data analysis tool. Here, you can input your data and then perform analysis. Please follow these steps:

  1. Enter your data in the text box, one data point per line, in the format "number,label".
  2. Click the "Analyze" button to start processing your data.

Database Selection

Filter Selection

Evaluator Selection

Contact Us

If you have any questions, suggestions, or need further information about our tool, please don't hesitate to contact us:

Institution

Kunming Institute of Botany, Chinese Academy of Sciences

Email

huguilin@mail.kib.ac.cn

We welcome your feedback and are happy to assist you with any inquiries related to VirMolAnalyte or our research.