ArticlePloS one2014
Automated NMR fragment based screening identified a novel interface blocker to the LARG/RhoA complex.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 28 citations in OpenAlex.
- A Noncovalent Fluorescent Probe for Dynamic Monitoring of Hemoglobin Accumulation in Living Cells.Luminescence : the journal of biological and chemical luminescence · 2026Article
- Fragment-based discovery of TopBP1 inhibitors integrated with AI-driven molecular docking.Magnetic resonance letters · 2026Article
- The rise of NMR-integrated fragment-based drug discovery in China.Magnetic resonance letters · 2025Review
- Fragment-Based Discovery of AF9 YEATS Domain Inhibitors.International journal of molecular sciences · 2022Article
- NMR Fragment-Based Screening against Tandem RNA Recognition Motifs of TDP-43.International journal of molecular sciences · 2019Article
- Druggable targets in the Rho pathway and their promise for therapeutic control of blood pressure.Pharmacology & therapeutics · 2019Review
- A small molecule inhibitor of Rheb selectively targets mTORC1 signaling.Nature communications · 2018Article
- RSK2 drives cell motility by serine phosphorylation of LARG and activation of Rho GTPases.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Process of Fragment-Based Lead Discovery-A Perspective from NMR.Molecules (Basel, Switzerland) · 2016Review
- NMR-based platform for fragment-based lead discovery used in screening BRD4-targeted compounds.Acta pharmacologica Sinica · 2016Article
- Review
- Overcoming Chemical, Biological, and Computational Challenges in the Development of Inhibitors Targeting Protein-Protein Interactions.Chemistry & biology · 2015Review
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The small GTPase cycles between the inactive GDP form and the activated GTP form, catalyzed by the upstream guanine exchange factors. The modulation of such process by small molecules has been proven to be a fruitful route for therapeutic intervention to prevent the over-activation of the small GTPase. The fragment based approach emerging in the past decade has demonstrated its paramount potential in the discovery of inhibitors targeting such novel and challenging protein-protein interactions. The details regarding the procedure of NMR fragment screening from scratch have been rarely disclosed comprehensively, thus restricts its wider applications. To achieve a consistent screening applicable to a number of targets, we developed a highly automated protocol to cover every aspect of NMR fragment screening as possible, including the construction of small but diverse libray, determination of the aqueous solubility by NMR, grouping compounds with mutual dispersity to a cocktail, and the automated processing and visualization of the ligand based screening spectra. We exemplified our streamlined screening in RhoA alone and the complex of the small GTPase RhoA and its upstream guanine exchange factor LARG. Two hits were confirmed from the primary screening in cocktail and secondary screening over individual hits for LARG/RhoA complex, while one of them was also identified from the screening for RhoA alone. HSQC titration of the two hits over RhoA and LARG alone, respectively, identified one compound binding to RhoA.GDP at a 0.11 mM affinity, and perturbed the residues at the switch II region of RhoA. This hit blocked the formation of the LARG/RhoA complex, validated by the native gel electrophoresis, and the titration of RhoA to ¹⁵N labeled LARG in the absence and presence the compound, respectively. It therefore provides us a starting point toward a more potent inhibitor to RhoA activation catalyzed by LARG.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.