ecto-5'-Nucleotidase (eN, CD73) catalyzes the hydrolysis of extracellular AMP to adenosine. eN inhibitors have potential for use as cancer therapeutics. The eN inhibitor α,β-methylene-ADP (AOPCP, adenosine-5'-O-[(phosphonomethyl)phosphonic acid]) was used as a lead structure, and derivatives modified in various positions were prepared. Products were tested at rat recombinant eN. 6-(Ar)alkylamino substitution led to the largest improvement in potency. N(6)-Monosubstitution was superior to symmetrical N(6),N(6)-disubstitution. The most potent inhibitors were N(6)-(4-chlorobenzyl)- (10l, PSB-12441, Ki 7.23 nM), N(6)-phenylethyl- (10h, PSB-12425, Ki 8.04 nM), and N(6)-benzyl-adenosine-5'-O-[(phosphonomethyl)phosphonic acid] (10g, PSB-12379, Ki 9.03 nM). Replacement of the 6-NH group in 10g by O (10q, PSB-12431) or S (10r, PSB-12553) yielded equally potent inhibitors (10q, 9.20 nM; 10r, 9.50 nM). Selected compounds investigated at the human enzyme did not show species differences; they displayed high selectivity versus other ecto-nucleotidases and ADP-activated P2Y receptors. Moreover, high metabolic stability was observed. These compounds represent the most potent eN inhibitors described to date.

Amyloid β-peptide, the principal component of characteristic cerebral plaques of Alzheimer’s disease (AD), is produced through intramembrane proteolysis of the amyloid precursor protein (APP) by γ-secretase. Despite the importance in the pathogenesis of AD, the mechanisms of intramembrane proteolysis and substrate processing by γ-secretase remain poorly understood. Here, complementary all-atom simulations using a robust Gaussian accelerated molecular dynamics (GaMD) method and biochemical experiments were combined to investigate substrate processing of wildtype and mutant APP by γ-secretase. The GaMD simulations captured spontaneous activation of γ-secretase, with hydrogen bonded catalytic aspartates and water poised for proteolysis of APP at the ε cleavage site. Furthermore, GaMD simulations revealed that familial AD mutations I45F and T48P enhanced the initial ε cleavage between residues Leu49–Val50, while M51F mutation shifted the ε cleavage site to the amide bond between Thr48–Leu49. Detailed analysis of the GaMD simulations allowed us to identify distinct low-energy conformational states of γ-secretase, different secondary structures of the wildtype and mutant APP substrate, and important active-site subpockets for catalytic function of the enzyme. The simulation findings were highly consistent with experimental analyses of APP proteolytic products using mass spectrometry and Western blotting. Taken together, the GaMD simulations and biochemical experiments have enabled us to elucidate the mechanisms of γ-secretase activation and substrate processing, which should facilitate rational computer-aided drug design targeting this functionally important enzyme.

Ecto‐5′‐nucleotidase (CD73, EC 3.1.3.5) catalyzes the extracellular hydrolysis of AMP yielding adenosine, which induces immunosuppression, angiogenesis, metastasis, and proliferation of cancer cells. CD73 inhibition is therefore proposed as a novel strategy for cancer (immuno)therapy, and CD73 antibodies are currently undergoing clinical trials. Despite considerable efforts, the development of small molecule CD73 inhibitors has met with limited success. To develop a suitable drug candidate, a high resolution (2.05 Å) co‐crystal structure of the CD73 inhibitor PSB‐12379, a nucleotide analogue, in complex with human CD73 is determined. This allows the rational design and development of a novel inhibitor (PSB‐12489) with subnanomolar inhibitory potency toward human and rat CD73, high selectivity, as well as high metabolic stability. A co‐crystal structure of PSB‐12489 with CD73 (1.85 Å) reveals the interactions responsible for increased potency. PSB‐12489 is the most potent CD73 inhibitor to date representing a powerful tool compound and novel lead structure.

The membrane-embedded γ-secretase complex processively cleaves within the transmembrane domain of amyloid precursor protein (APP) to produce 37-to-43-residue amyloid β-peptides (Aβ) of Alzheimer’s disease (AD). Despite its importance in pathogenesis, the mechanism of processive proteolysis by γ-secretase remains poorly understood. Here, mass spectrometry and Western blotting were used to quantify the efficiency of tripeptide trimming of wild-type (WT) and familial AD (FAD) mutant Aβ49. In comparison to WT Aβ49, the efficiency of tripeptide trimming was similar for the I45F, A42T, and V46F Aβ49 FAD mutants but substantially diminished for the I45T and T48P mutants. In parallel with biochemical experiments, all-atom simulations using a novel peptide Gaussian accelerated molecular dynamics (Pep-GaMD) method were applied to investigate the tripeptide trimming of Aβ49 by γ-secretase. The starting structure was the active γ-secretase bound to Aβ49 and APP intracellular domain (AICD), as generated from our previous study that captured the activation of γ-secretase for the initial endoproteolytic cleavage of APP (BhattaraiA. Bhattarai, A. ACS Cent. Sci.20206969983). Pep-GaMD simulations captured remarkable structural rearrangements of both the enzyme and substrate, in which hydrogen-bonded catalytic aspartates and water became poised for tripeptide trimming of Aβ49 to Aβ46. These structural changes required a positively charged N-terminus of endoproteolytic coproduct AICD, which could dissociate during conformational rearrangements of the protease and Aβ49. The simulation findings were highly consistent with biochemical experimental data. Taken together, our complementary biochemical experiments and Pep-GaMD simulations have enabled elucidation of the mechanism of tripeptide trimming of Aβ49 by γ-secretase.

Nucleotide pyrophosphatase/phosphodiesterase type 1 (NPP1) is a membrane glycoprotein involved in the hydrolysis of extracellular nucleotides. Its major substrate is ATP which is converted to AMP and diphosphate. NPP1 was proposed as a new therapeutic target in brain cancer and immuno-oncology. Several NPP1 inhibitors have been reported to date, most of which were evaluated vs. the artificial substrate p-nitrophenyl 5 ′ -thymidine monophosphate (p-Nph-5 ′ -TMP). Recently, we observed large discrepancies in inhibitory potencies for a class of competitive NPP1 inhibitors when tested vs. the artificial substrate p-Nph-5 ′ -TMP as compared to the natural substrate ATP. Therefore, the goal of the present study was to investigate whether inhibitors of human NPP1 generally display substrate-dependent inhibitory potency. Systematic evaluation of nucleotidic as well as non-nucleotidic NPP1 inhibitors revealed significant differences in determined K i values for competitive, but not for non-and un-competitive inhibitors when tested vs. the frequently used artificial substrate p-Nph-5 ′ -TMP as compared to ATP. Allosteric modulation of NPP1 by p-Nph-5 ′ -TMP may explain these discrepancies. Results obtained using the AMP derivative p-nitrophenyl 5 ′ -adenosine monophosphate (p-Nph-5 ′ -AMP) as an alternative artificial substrate correlated much better with those employing the natural substrate ATP.

γ-Secretase is a membrane-embedded aspartyl protease complex central in biology and medicine. How this enzyme recognizes transmembrane substrates and catalyzes hydrolysis in the lipid bilayer is unclear. Inhibitors that mimic the entire substrate transmembrane domain and engage the active site should provide important tools for structural biology, yielding insight into substrate gating and trapping the protease in the active state. Here we report transmembrane peptidomimetic inhibitors of the γ-secretase complex that contain an N-terminal helical peptide region that engages a substrate docking exosite and a C-terminal transition-state analog moiety targeted to the active site. Both regions are required for stoichiometric inhibition of γ-secretase. Moreover, enzyme inhibition kinetics and photoaffinity probe displacement experiments demonstrate that both the docking exosite and the active site are engaged by the bipartite inhibitors. The solution conformations of these potent transmembranemimetic inhibitors are similar to those of bound natural substrates, suggesting these probes are preorganized for high-affinity binding and should allow visualization of the active γ-secretase complex, poised for intramembrane proteolysis, by cryo-electron microscopy.

CD73 inhibitors are promising drugs for the (immuno)therapy of cancer. Here, we present the synthesis, structure− activity relationships, and cocrystal structures of novel derivatives of the competitive CD73 inhibitor α,β-methylene-ADP (AOPCP) substituted in the 2-position. Small polar or lipophilic residues increased potency, 2-iodo-and 2-chloro-adenosine-5′-O-[(phosphonomethyl)phosphonic acid] (15, 16) being the most potent inhibitors with K i values toward human CD73 of 3−6 nM. Subject to the size and nature of the 2-substituent, variable binding modes were observed by X-ray crystallography. Depending on the binding mode, large species differences were found, e.g., 2-piperazinyl-AOPCP (21) was >12-fold less potent against rat CD73 compared to human CD73. This study shows that high CD73 inhibitory potency can be achieved by simply introducing a small substituent into the 2-position of AOPCP without the necessity of additional bulky N 6 -substituents. Moreover, it provides valuable insights into the binding modes of competitive CD73 inhibitors, representing an excellent basis for drug development.

Introduction: Identifying CSF-based biomarkers for the β-amyloidosis that initiatesAlzheimer's disease (AD) could provide inexpensive and dynamic tests to distinguish AD from normal aging and predict future cognitive decline. Methods:We developed immunoassays specifically detecting all C-terminal variants of secreted amyloid β-protein and identified a novel biomarker, the Aβ 37/42 ratio, that outperforms the canonical Aβ42/40 ratio as a means to evaluate the γ-secretase activity and brain Aβ accumulation. Results:We show that Aβ 37/42 can distinguish physiological and pathological status in (1) presenilin-1 mutant vs wild-type cultured cells, (2) AD vs control brain tissue, and(3) AD versus cognitively normal (CN) subjects in CSF, where 37/42 (AUC 0.9622) outperformed 42/40 (AUC 0.8651) in distinguishing CN from AD.Discussion: We conclude that the Aβ 37/42 ratio sensitively detects presenilin/γsecretase dysfunction and better distinguishes CN from AD than Aβ42/40 in CSF. Measuring this novel ratio alongside promising phospho-tau analytes may provide highly discriminatory fluid biomarkers for AD.