Ligand-based virtual screening, parallel solution-phase and microwave-assisted synthesis as tools to identify and synthesize new inhibitors of mycobacterium tuberculosis.
In an attempt to identify new inhibitors of the growth of Mycobacterium tuberculosis (MTB), the causative agent of tuberculosis, a procedure for the generation, design, and screening of a ligand-based virtual library was applied. This used both an in silico protocol centered on a recursive partitioning (RP) model described herein, and a pharmacophoric model for antitubercular agents previously generated by our research group. Two candidates emerged from databases of commercially available compounds, both characterized by a minimum inhibitory concentration (MIC) of 25 microg mL(-1). Based on these compounds, two series of derivatives were synthesized by both parallel solution-phase and microwave-assisted synthesis, leading to enhanced antimycobacterial activity. During both the design and synthesis, attention was focused on the efficient allocation of available resources with the aim of reducing the overall costs associated with calculation and synthesis.
Manetti
Fabrizio
F
Dipartimento Farmaco Chimico Tecnologico, Università Degli Studi di Siena, Via Alcide de Gasperi 2, 53100 Siena, Italy.
Magnani
Matteo
M
Castagnolo
Daniele
D
Passalacqua
Laura
L
Botta
Maurizio
M
Corelli
Federico
F
Saddi
Manuela
M
Deidda
Delia
D
De Logu
Alessandro
A
D000995:Antitubercular Agents / Q000138:chemical synthesis* / Q000493:pharmacokinetics / Q000494:pharmacology*; D001185:Artificial Intelligence; D019295:Computational Biology; D003198:Computer Simulation; D016208:Databases, Factual; D004353:Drug Evaluation, Preclinical; D008024:Ligands; D008826:Microbial Sensitivity Tests; D008872:Microwaves; D015269:Mycobacterium avium Complex / Q000187:drug effects; D009169:Mycobacterium tuberculosis / Q000187:drug effects*; D012996:Solutions
D000995:Antitubercular Agents; D008024:Ligands; D012996:Solutions