Sturlese M - Search Results

1

A High-Throughput Screening Identifies MICU1 Targeting Compounds.

Di Marco G, Vallese F, Jourde B, Bergsdorf C, Sturlese M, De Mario A, Techer-Etienne V, Haasen D, Oberhauser B, Schleeger S, Minetti G, Moro S, Rizzuto R, De Stefani D, Fornaro M, Mammucari C. Di Marco G, et al. Among authors: sturlese m. Cell Rep. 2020 Feb 18;30(7):2321-2331.e6. doi: 10.1016/j.celrep.2020.01.081. Cell Rep. 2020. PMID: 32075766 Free PMC article.

2

DockBench: An Integrated Informatic Platform Bridging the Gap between the Robust Validation of Docking Protocols and Virtual Screening Simulations.

Cuzzolin A, Sturlese M, Malvacio I, Ciancetta A, Moro S. Cuzzolin A, et al. Among authors: sturlese m. Molecules. 2015 May 29;20(6):9977-93. doi: 10.3390/molecules20069977. Molecules. 2015. PMID: 26035098 Free PMC article.

3

Deciphering the Complexity of Ligand-Protein Recognition Pathways Using Supervised Molecular Dynamics (SuMD) Simulations.

Cuzzolin A, Sturlese M, Deganutti G, Salmaso V, Sabbadin D, Ciancetta A, Moro S. Cuzzolin A, et al. Among authors: sturlese m. J Chem Inf Model. 2016 Apr 25;56(4):687-705. doi: 10.1021/acs.jcim.5b00702. Epub 2016 Apr 14. J Chem Inf Model. 2016. PMID: 27019343

4

In Silico 3D Modeling of Binding Activities.

Moro S, Sturlese M, Ciancetta A, Floris M. Moro S, et al. Among authors: sturlese m. Methods Mol Biol. 2016;1425:23-35. doi: 10.1007/978-1-4939-3609-0_2. Methods Mol Biol. 2016. PMID: 27311460

5

NMR-Assisted Molecular Docking Methodologies.

Sturlese M, Bellanda M, Moro S. Sturlese M, et al. Mol Inform. 2015 Aug;34(8):513-25. doi: 10.1002/minf.201500012. Epub 2015 Jun 19. Mol Inform. 2015. PMID: 27490497 Review.

6

New Trends in Inspecting GPCR-ligand Recognition Process: the Contribution of the Molecular Modeling Section (MMS) at the University of Padova.

Ciancetta A, Cuzzolin A, Deganutti G, Sturlese M, Salmaso V, Cristiani A, Sabbadin D, Moro S. Ciancetta A, et al. Among authors: sturlese m. Mol Inform. 2016 Sep;35(8-9):440-8. doi: 10.1002/minf.201501011. Epub 2016 Jul 19. Mol Inform. 2016. PMID: 27546048 Review.

7

DockBench as docking selector tool: the lesson learned from D3R Grand Challenge 2015.

Salmaso V, Sturlese M, Cuzzolin A, Moro S. Salmaso V, et al. Among authors: sturlese m. J Comput Aided Mol Des. 2016 Sep;30(9):773-789. doi: 10.1007/s10822-016-9966-4. Epub 2016 Sep 16. J Comput Aided Mol Des. 2016. PMID: 27638810

8

Synthesis, structure-activity relationships and biological evaluation of 7-phenyl-pyrroloquinolinone 3-amide derivatives as potent antimitotic agents.

Carta D, Bortolozzi R, Sturlese M, Salmaso V, Hamel E, Basso G, Calderan L, Quintieri L, Moro S, Viola G, Ferlin MG. Carta D, et al. Among authors: sturlese m. Eur J Med Chem. 2017 Feb 15;127:643-660. doi: 10.1016/j.ejmech.2016.10.026. Epub 2016 Oct 21. Eur J Med Chem. 2017. PMID: 27823884 Free PMC article.

9

Exploring Protein-Peptide Recognition Pathways Using a Supervised Molecular Dynamics Approach.

Salmaso V, Sturlese M, Cuzzolin A, Moro S. Salmaso V, et al. Among authors: sturlese m. Structure. 2017 Apr 4;25(4):655-662.e2. doi: 10.1016/j.str.2017.02.009. Epub 2017 Mar 16. Structure. 2017. PMID: 28319010 Free article.

10

Combining self- and cross-docking as benchmark tools: the performance of DockBench in the D3R Grand Challenge 2.

Salmaso V, Sturlese M, Cuzzolin A, Moro S. Salmaso V, et al. Among authors: sturlese m. J Comput Aided Mol Des. 2018 Jan;32(1):251-264. doi: 10.1007/s10822-017-0051-4. Epub 2017 Aug 24. J Comput Aided Mol Des. 2018. PMID: 28840418

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