scholarly journals Common mutations of AAA ATPase p97 and inhibitor binding disrupt inter-domain coupling and subsequent allosteric activation

2021 ◽  
pp. 101187
Author(s):  
Brian Caffrey ◽  
Xing Zhu ◽  
Alison Berezuk ◽  
Katharine Tuttle ◽  
Sagar Chittori ◽  
...  
2021 ◽  
Author(s):  
Brian Caffrey ◽  
Xing Zhu ◽  
Alison Berezuk ◽  
Katharine Tuttle ◽  
Sagar Chittori ◽  
...  

The human AAA ATPase p97, a potential cancer target, plays a vital role in clearing misfolded proteins. p97 dysfunction is also known to play a crucial role in several neurodegenerative disorders. Here, we present cryo-EM structural analyses of four disease mutants p97R155H, p97R191Q, p97A232E, p97D592N, as well as p97E470D, implicated in resistance to the drug CB-5083. These structures demonstrate that the mutations affect nucleotide-driven p97 allosteric activation by predominantly interfering with either the coupling between the D1 and N-terminal domains (p97R155H and p97R191Q), the inter-protomer interactions (p97A232E), or the coupling between D1 and D2 nucleotide domains (p97D592N, p97E470D). We also show that binding of the competitive inhibitor CB-5083 to the D2 domain prevents conformational changes similar to that seen for mutations that affect coupling between D1 and D2 domains. Our studies enable tracing of the path of allosteric activation across p97 and establish a common mechanistic link between active site inhibition and defects in allosteric activation by disease-causing mutations.


2019 ◽  
Author(s):  
Andrea N. Bootsma ◽  
Analise C. Doney ◽  
Steven Wheeler

<p>Despite the ubiquity of stacking interactions between heterocycles and aromatic amino acids in biological systems, our ability to predict their strength, even qualitatively, is limited. Based on rigorous <i>ab initio</i> data, we have devised a simple predictive model of the strength of stacking interactions between heterocycles commonly found in biologically active molecules and the amino acid side chains Phe, Tyr, and Trp. This model provides rapid predictions of the stacking ability of a given heterocycle based on readily-computed heterocycle descriptors. We show that the values of these descriptors, and therefore the strength of stacking interactions with aromatic amino acid side chains, follow simple predictable trends and can be modulated by changing the number and distribution of heteroatoms within the heterocycle. This provides a simple conceptual model for understanding stacking interactions in protein binding sites and optimizing inhibitor binding in drug design.</p>


2019 ◽  
Vol 25 (42) ◽  
pp. 5803-5821 ◽  
Author(s):  
Mona N. Rahman ◽  
Dragic Vukomanovic ◽  
Jason Z. Vlahakis ◽  
Walter A. Szarek ◽  
Kanji Nakatsu ◽  
...  

The development of isozyme-selective heme oxygenase (HO) inhibitors promises powerful pharmacological tools to elucidate the regulatory characteristics of the HO system. It is already known that HO has cytoprotective properties with a role in several disease states; thus, it is an enticing therapeutic target. Historically, the metalloporphyrins have been used as competitive HO inhibitors based on their structural similarity to the substrate, heme. However, heme’s important role in several other proteins (e.g. cytochromes P450, nitric oxide synthase), results in non-selectivity being an unfortunate side effect. Reports that azalanstat and other non-porphyrin molecules inhibited HO led to a multi-faceted effort over a decade ago to develop novel compounds as potent, selective inhibitors of HO. The result was the creation of the first generation of non-porphyrin based, non-competitive inhibitors with selectivity for HO, including a subset with isozyme selectivity for HO-1. Using X-ray crystallography, the structures of several complexes of HO-1 with novel inhibitors have been elucidated and provided insightful information regarding the salient features required for inhibitor binding. This included the structural basis for non-competitive inhibition, flexibility and adaptability of the inhibitor binding pocket, and multiple, potential interaction subsites, all of which can be exploited in future drug-design strategies. Notably, HO-1 inhibitors are of particular interest for the treatment of hyperbilirubinemia and certain types of cancer. Key features based on this initial study have already been used by others to discover additional potential HO-1 inhibitors. Moreover, studies have begun to use selected compounds and determine their effects in some disease models.


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