Unknown

Dataset Information

0

Molecular Basis for Polyketide Ketoreductase-Substrate Interactions.


ABSTRACT: Polyketides are a large class of structurally and functionally diverse natural products with important bioactivities. Many polyketides are synthesized by reducing type II polyketide synthases (PKSs), containing transiently interacting standalone enzymes. During synthesis, ketoreductase (KR) catalyzes regiospecific carbonyl to hydroxyl reduction, determining the product outcome, yet little is known about what drives specific KR-substrate interactions. In this study, computational approaches were used to explore KR-substrate interactions based on previously solved apo and mimic cocrystal structures. We found five key factors guiding KR-substrate binding. First, two major substrate binding motifs were identified. Second, substrate length is the key determinant of substrate binding position. Third, two key residues in chain length specificity were confirmed. Fourth, phosphorylation of substrates is critical for binding. Finally, packing/hydrophobic effects primarily determine the binding stability. The molecular bases revealed here will help further engineering of type II PKSs and directed biosynthesis of new polyketides.

SUBMITTER: Zhao S 

PROVIDER: S-EPMC7588967 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

Molecular Basis for Polyketide Ketoreductase-Substrate Interactions.

Zhao Shiji S   Ni Fanglue F   Qiu Tianyin T   Wolff Jacob T JT   Tsai Shiou-Chuan SC   Luo Ray R  

International journal of molecular sciences 20201013 20


Polyketides are a large class of structurally and functionally diverse natural products with important bioactivities. Many polyketides are synthesized by reducing type II polyketide synthases (PKSs), containing transiently interacting standalone enzymes. During synthesis, ketoreductase (KR) catalyzes regiospecific carbonyl to hydroxyl reduction, determining the product outcome, yet little is known about what drives specific KR-substrate interactions. In this study, computational approaches were  ...[more]

Similar Datasets

| S-EPMC2263080 | biostudies-literature
| S-EPMC6127857 | biostudies-literature
| S-EPMC4501267 | biostudies-literature
2021-06-12 | GSE177036 | GEO
| S-EPMC3699853 | biostudies-literature
| S-EPMC2263082 | biostudies-literature
| S-EPMC3855848 | biostudies-literature