Ferenczy GG - Search Results

1

Structure-Based Consensus Scoring Scheme for Selecting Class A Aminergic GPCR Fragments.

Kelemen ÁA, Kiss R, Ferenczy GG, Kovács L, Flachner B, Lőrincz Z, Keserű GM. Kelemen ÁA, et al. Among authors: ferenczy gg. J Chem Inf Model. 2016 Feb 22;56(2):412-22. doi: 10.1021/acs.jcim.5b00598. Epub 2016 Jan 29. J Chem Inf Model. 2016. PMID: 26760056

2

Enthalpic efficiency of ligand binding.

Ferenczy GG, Keseru GM. Ferenczy GG, et al. J Chem Inf Model. 2010 Sep 27;50(9):1536-41. doi: 10.1021/ci100125a. J Chem Inf Model. 2010. PMID: 20684566

3

Thermodynamics guided lead discovery and optimization.

Ferenczy GG, Keserũ GM. Ferenczy GG, et al. Drug Discov Today. 2010 Nov;15(21-22):919-32. doi: 10.1016/j.drudis.2010.08.013. Epub 2010 Aug 27. Drug Discov Today. 2010. PMID: 20801227 Review.

4

Thermodynamics of fragment binding.

Ferenczy GG, Keserű GM. Ferenczy GG, et al. J Chem Inf Model. 2012 Apr 23;52(4):1039-45. doi: 10.1021/ci200608b. Epub 2012 Apr 9. J Chem Inf Model. 2012. PMID: 22458364

5

How are fragments optimized? A retrospective analysis of 145 fragment optimizations.

Ferenczy GG, Keserű GM. Ferenczy GG, et al. J Med Chem. 2013 Mar 28;56(6):2478-86. doi: 10.1021/jm301851v. Epub 2013 Mar 11. J Med Chem. 2013. PMID: 23437770

6

A desirability function-based scoring scheme for selecting fragment-like class A aminergic GPCR ligands.

Kelemen ÁA, Ferenczy GG, Keserű GM. Kelemen ÁA, et al. Among authors: ferenczy gg. J Comput Aided Mol Des. 2015 Jan;29(1):59-66. doi: 10.1007/s10822-014-9804-5. Epub 2014 Oct 19. J Comput Aided Mol Des. 2015. PMID: 25326869

7

Erratum to: A desirability function-based scoring scheme for selecting fragment-like class A aminergic GPCR ligands.

Kelemen ÁA, Ferenczy GG, Keserű GM. Kelemen ÁA, et al. Among authors: ferenczy gg. J Comput Aided Mol Des. 2015 Jan;29(1):67. doi: 10.1007/s10822-014-9812-5. J Comput Aided Mol Des. 2015. PMID: 25395250 No abstract available.

8

The impact of binding thermodynamics on medicinal chemistry optimizations.

Ferenczy GG, Keserű GM. Ferenczy GG, et al. Future Med Chem. 2015;7(10):1285-303. doi: 10.4155/fmc.15.63. Future Med Chem. 2015. PMID: 26144265 Review.

9

Discovery of Subtype Selective Janus Kinase (JAK) Inhibitors by Structure-Based Virtual Screening.

Bajusz D, Ferenczy GG, Keserű GM. Bajusz D, et al. Among authors: ferenczy gg. J Chem Inf Model. 2016 Jan 25;56(1):234-47. doi: 10.1021/acs.jcim.5b00634. Epub 2015 Dec 31. J Chem Inf Model. 2016. PMID: 26682735

10

Design Principles for Fragment Libraries: Maximizing the Value of Learnings from Pharma Fragment-Based Drug Discovery (FBDD) Programs for Use in Academia.

Keserű GM, Erlanson DA, Ferenczy GG, Hann MM, Murray CW, Pickett SD. Keserű GM, et al. Among authors: ferenczy gg. J Med Chem. 2016 Sep 22;59(18):8189-206. doi: 10.1021/acs.jmedchem.6b00197. Epub 2016 May 16. J Med Chem. 2016. PMID: 27124799

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