Mining Natural Products for Macrocycles to Drug Difficult Targets.

Abstract:

:Lead generation for difficult-to-drug targets that have large, featureless, and highly lipophilic or highly polar and/or flexible binding sites is highly challenging. Here, we describe how cores of macrocyclic natural products can serve as a high-quality in silico screening library that provides leads for difficult-to-drug targets. Two iterative rounds of docking of a carefully selected set of natural-product-derived cores led to the discovery of an uncharged macrocyclic inhibitor of the Keap1-Nrf2 protein-protein interaction, a particularly challenging target due to its highly polar binding site. The inhibitor displays cellular efficacy and is well-positioned for further optimization based on the structure of its complex with Keap1 and synthetic access. We believe that our work will spur interest in using macrocyclic cores for in silico-based lead generation and also inspire the design of future macrocycle screening collections.

journal_name

J Med Chem

authors

Begnini F,Poongavanam V,Over B,Castaldo M,Geschwindner S,Johansson P,Tyagi M,Tyrchan C,Wissler L,Sjö P,Schiesser S,Kihlberg J

doi

10.1021/acs.jmedchem.0c01569

subject

Has Abstract

pub_date

2021-01-28 00:00:00

pages

1054-1072

issue

2

eissn

0022-2623

issn

1520-4804

journal_volume

64

pub_type

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