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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

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Published on: June 6, 2025

AMMOS software: method and application.

T Pencheva¹, D Lagorce, I Pajeva

¹Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria.

Methods in Molecular Biology (Clifton, N.J.)

|December 21, 2011

Summary

Computational chemistry and biology benefit from in silico methods for drug discovery. AMMOS software offers automated generation and optimization of drug-like molecules and protein-ligand complexes for virtual screening.

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Area of Science:

Computational chemistry and biology
Drug discovery and development

Background:

In silico methods, including virtual ligand screening, are increasingly used in computational chemistry and biology.
These methods aid in hit identification and lead optimization for drug discovery programs.
Current approaches often require extensive preparation of molecular libraries or refinement of screening results.

Purpose of the Study:

To present the open-source AMMOS software platform.
To highlight AMMOS's capabilities in automating molecular structure generation and optimization.
To demonstrate its utility in refining protein-ligand complexes for in silico screening.

Main Methods:

Development of an open-source software platform named AMMOS.
Implementation of automated procedures for structural generation and optimization of drug-like molecules.
Integration of tools for structural refinement of protein-ligand complexes.

Main Results:

AMMOS provides an automated workflow for creating and optimizing molecular structures.
The software facilitates the refinement of protein-ligand complexes, crucial for virtual screening accuracy.
It streamlines the preparation of compound libraries for in silico drug discovery.

Conclusions:

AMMOS is a valuable open-source tool for computational drug discovery.
The platform automates key steps in preparing molecular data for virtual screening.
AMMOS assists researchers in accelerating hit identification and lead optimization processes.