ACD: Antimicrobial chemotherapeutics database.

Area of Science:

• Medicinal Chemistry
• Computational Biology
• Microbiology

Background:

• Antimicrobial resistance poses a significant global health challenge, increasing treatment complexity and healthcare costs.
• The rise of resistant microorganisms necessitates the development of novel and effective antimicrobial agents.
• In silico drug design and virtual screening are crucial for identifying new therapeutic strategies against resistant pathogens.

Purpose of the Study:

• To create a comprehensive database of antimicrobial agents to support drug discovery efforts.
• To provide researchers with a readily accessible platform for identifying potential lead molecules against resistant microbes.
• To facilitate the in silico design and virtual screening of novel antimicrobial drugs.

Main Methods:

• Compilation of a database containing approximately 4,100 synthetic antimicrobial compounds.
• Inclusion of around 1,030 active antimicrobial peptides, sourced from both biological and synthetic origins.
• Selection of compounds based on demonstrated activity against Gram-positive bacteria, Gram-negative bacteria, or fungi.

Main Results:

• The Antimicrobial Chemotherapeutics Database (ACD) has been established, featuring a diverse collection of antimicrobial agents.
• The database integrates both synthetic compounds and antimicrobial peptides, offering a broad spectrum of potential drug candidates.
• ACD provides valuable chemical structure and property information essential for virtual screening and lead molecule identification.

Conclusions:

• The ACD serves as a valuable resource for researchers combating antimicrobial resistance.
• This freely accessible database accelerates the identification of novel antimicrobial drugs through in silico approaches.
• ACD supports the development of new chemotherapeutics to address the growing challenge of drug-resistant infections.