Herein we describe the discovery of a series of novel adenosine A(2A) receptor antagonists. A successful hit-to-lead optimization of an HTS hit led to replacement of a metabolically labile ester moiety with a heteroaromatic group. A compound from the series, (cyclopropanecarboxylic acid [5-(5-methyl-[1,2,4]oxadiazol-3-yl)-4-phenyl-thiazol-2-yl]-amide, compound 13), was shown to be effective in reversing haloperidol-induced hypolocomotion, a model of motor dysfunction in Parkinson's Disease.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.bmcl.2010.06.138DOI Listing

Publication Analysis

Top Keywords

hit-to-lead optimization
8
novel adenosine
8
adenosine a2a
8
a2a receptor
8
receptor antagonists
8
optimization series
4
series carboxamides
4
carboxamides ethyl
4
ethyl 2-amino-4-phenylthiazole-5-carboxylates
4
2-amino-4-phenylthiazole-5-carboxylates novel
4

Similar Publications

Applications of Machine Learning Approaches for the Discovery of SARS-CoV-2 PLpro Inhibitors.

J Chem Inf Model

January 2025

Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, Rockville, Maryland 20850, United States.

The global impact of SARS-CoV-2 highlights the need for treatments beyond vaccination, given the limited availability of effective medications. While Pfizer introduced , an FDA-approved antiviral targeting the SARS-CoV-2 main protease (Mpro), this study focuses on designing new antivirals against another protease, papain-like protease (PLpro), which is crucial for viral replication and immune suppression. NCATS/NIH performed a high-throughput screen of ∼15,000 molecules from an internal molecular library, identifying initial hits with a 0.

View Article and Find Full Text PDF

Discovery of highly potent phosphodiesterase-1 inhibitors by a combined-structure free energy perturbation approach.

Acta Pharm Sin B

December 2024

State Key Laboratory of Anti-Infective Drug Discovery and Development, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.

Accurate receptor/ligand binding free energy calculations can greatly accelerate drug discovery by identifying highly potent ligands. By simulating the change from one compound structure to another, the relative binding free energy (RBFE) change can be calculated based on the theoretically rigorous free energy perturbation (FEP) method. However, existing FEP-RBFE approaches may face convergence challenges due to difficulties in simulating non-physical intermediate states, which can lead to increased computational costs to obtain the converged results.

View Article and Find Full Text PDF

Triple-negative breast cancer (TNBC) is one of the most fatal malignancies in the world, accounting for 42% of all deaths due to metastasis. The significant development is hindered by the multi-drug resistance and poor patient compliance. PIK3CA gene mutation is one of the important causes of TNBC, which causes dysregulation of the cell cycle and cell proliferation.

View Article and Find Full Text PDF

Deep Multitask Learning-Driven Discovery of New Compounds Targeting .

ACS Omega

December 2024

Laboratory of Cheminformatics, Faculty of Pharmacy, Universidade Federal de Goiás, Goiânia 74605-170, Brazil.

Article Synopsis
  • Visceral leishmaniasis is a serious disease primarily found in low- and middle-income countries, with limited treatment options due to toxicity and drug resistance.
  • Researchers developed a multitask learning (MTL) pipeline to predict the effectiveness of compounds against several species, screening about 1.3 million compounds and finding 20 potential candidates with significant antileishmanial activity.
  • Three of these compounds showed strong efficacy and moderate safety, suggesting they could lead to new therapies, while the use of explainable models aids in understanding how these compounds work, potentially improving drug discovery for neglected tropical diseases.
View Article and Find Full Text PDF

Pannexin 1 (PANX1) forms cell-surface channels capable of releasing signaling metabolites for diverse patho-physiological processes. While inhibiting dysregulated PANX1 has been proposed as a therapeutic strategy for many pathological conditions, including inflammatory bowel disease (IBD), low efficacy, or poor specificity of classical PANX1 inhibitors introduces uncertainty for their applications in basic and translational research. Here, hit-to-lead optimization is performed and a naphthyridone, compound 12, is identified as a new PANX1 inhibitor with an IC of 0.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!