Unknown

Dataset Information

0

Fragment-Based Approach to Targeting Inosine-5'-monophosphate Dehydrogenase (IMPDH) from Mycobacterium tuberculosis.


ABSTRACT: Tuberculosis (TB) remains a major cause of mortality worldwide, and improved treatments are needed to combat emergence of drug resistance. Inosine 5'-monophosphate dehydrogenase (IMPDH), a crucial enzyme required for de novo synthesis of guanine nucleotides, is an attractive TB drug target. Herein, we describe the identification of potent IMPDH inhibitors using fragment-based screening and structure-based design techniques. Screening of a fragment library for Mycobacterium thermoresistible ( Mth) IMPDH ?CBS inhibitors identified a low affinity phenylimidazole derivative. X-ray crystallography of the Mth IMPDH ?CBS-IMP-inhibitor complex revealed that two molecules of the fragment were bound in the NAD binding pocket of IMPDH. Linking the two molecules of the fragment afforded compounds with more than 1000-fold improvement in IMPDH affinity over the initial fragment hit.

SUBMITTER: Trapero A 

PROVIDER: S-EPMC5900554 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Fragment-Based Approach to Targeting Inosine-5'-monophosphate Dehydrogenase (IMPDH) from Mycobacterium tuberculosis.

Trapero Ana A   Pacitto Angela A   Singh Vinayak V   Sabbah Mohamad M   Coyne Anthony G AG   Mizrahi Valerie V   Blundell Tom L TL   Ascher David B DB   Abell Chris C  

Journal of medicinal chemistry 20180323 7


Tuberculosis (TB) remains a major cause of mortality worldwide, and improved treatments are needed to combat emergence of drug resistance. Inosine 5'-monophosphate dehydrogenase (IMPDH), a crucial enzyme required for de novo synthesis of guanine nucleotides, is an attractive TB drug target. Herein, we describe the identification of potent IMPDH inhibitors using fragment-based screening and structure-based design techniques. Screening of a fragment library for Mycobacterium thermoresistible ( Mth  ...[more]

Similar Datasets

| S-EPMC3517587 | biostudies-literature
| S-EPMC6166404 | biostudies-literature
| S-EPMC5972394 | biostudies-literature
| S-EPMC2903443 | biostudies-literature
2024-08-25 | GSE275261 | GEO
| S-EPMC2919388 | biostudies-literature
| S-EPMC5241705 | biostudies-literature
| S-EPMC6467267 | biostudies-literature
| S-EPMC3606566 | biostudies-literature
| S-EPMC3756936 | biostudies-literature