Identification of Novel Coumestan Derivatives as Polyketide Synthase 13 Inhibitors against Mycobacterium tuberculosis. Part II.
Wei ZhangShichun LunLing-Ling LiuShiqi XiaoGuanfu DuanHendra GunosewoyoFan YangJie TangWilliam R BishaiLi-Fang YuPublished in: Journal of medicinal chemistry (2019)
Our group recently reported the identification of novel coumestan derivatives as Mycobacterium tuberculosis ( Mtb) Pks13-thioesterase (TE) domain inhibitors, with mutations observed (D1644G and N1640K) in the generated coumestan-resistant Mtb colonies. Herein, we report a further structure-activity relationships exploration exploiting the available Pks13-TE X-ray co-crystal structure that resulted in the discovery of extremely potent coumestan analogues 48 and 50. These molecules possess excellent anti-tuberculosis activity against both the drug-susceptible (MIC = 0.0039 μg/mL) and drug-resistant Mtb strains (MIC = 0.0078 μg/mL). Moreover, the excellent in vitro activity is translated to the in vivo mouse serum inhibitory titration assay, with administration of coumestan 48 at 100 mg/kg showing an 8-fold higher activity than that of isoniazid or TAM16 given at 10 or 100 mg/kg, respectively. Preliminary ADME-Tox data for the coumestans were promising and, coupled with the practicality of synthesis, warrant further in vivo efficacy assessments of the coumestan derivatives.
Keyphrases
- mycobacterium tuberculosis
- drug resistant
- pulmonary tuberculosis
- crystal structure
- multidrug resistant
- acinetobacter baumannii
- small molecule
- high resolution
- escherichia coli
- emergency department
- machine learning
- pseudomonas aeruginosa
- big data
- electronic health record
- computed tomography
- drug induced
- deep learning
- bioinformatics analysis
- anti inflammatory
- data analysis
- artificial intelligence