This paper presents a description of a biomolecular analysis system that utilizes search and statistical techniques. The system architecture consists of three components: a web application, a data parser, and a database. Prior to developing the web application, the data parser and database were implemented. The system utilizes a PostgreSQL database with a structure adapted from the Tus paper, containing information about structures, chains, ligands, atoms, as well as distances between atoms accompanied by geometric structures and angles. The data parser is an integral part of the system, responsible for populating the database with the necessary information. The key component of the system is the web application, which is implemented as two subsystems: the Frontend, developed using the Angular 15 framework, and the Backend, developed using the .Net framework. Through interaction with the web application, users can obtain various information about metals and their interactions with ligands. Such results are available after filling out a form with parameters that will be used for statistical calculations. The statistical results are presented in a tabular format. While the system does not outperform the BioMe system, it does revive the concept initially proposed by Alen Rakipović, incorporating the latest technologies. The limitations of this system include the unreliability of the statistical results and the inability to retrieve all statistics, as not all of them have been implemented. Although the system is not accessible online, the code necessary for its deployment will be made available on my personal GitHub account through the provided link.