Literature DB >> 19291738

Multiple solvent crystal structures of ribonuclease A: an assessment of the method.

Michelle Dechene1, Glenna Wink, Mychal Smith, Paul Swartz, Carla Mattos.   

Abstract

The multiple solvent crystal structures (MSCS) method uses organic solvents to map the surfaces of proteins. It identifies binding sites and allows for a more thorough examination of protein plasticity and hydration than could be achieved by a single structure. The crystal structures of bovine pancreatic ribonuclease A (RNAse A) soaked in the following organic solvents are presented: 50% dioxane, 50% dimethylformamide, 70% dimethylsulfoxide, 70% 1,6-hexanediol, 70% isopropanol, 50% R,S,R-bisfuran alcohol, 70% t-butanol, 50% trifluoroethanol, or 1.0M trimethylamine-N-oxide. This set of structures is compared with four sets of crystal structures of RNAse A from the protein data bank (PDB) and with the solution NMR structure to assess the validity of previously untested assumptions associated with MSCS analysis. Plasticity from MSCS is the same as from PDB structures obtained in the same crystal form and deviates only at crystal contacts when compared to structures from a diverse set of crystal environments. Furthermore, there is a good correlation between plasticity as observed by MSCS and the dynamic regions seen by NMR. Conserved water binding sites are identified by MSCS to be those that are conserved in the sets of structures taken from the PDB. Comparison of the MSCS structures with inhibitor-bound crystal structures of RNAse A reveals that the organic solvent molecules identify key interactions made by inhibitor molecules, highlighting ligand binding hot-spots in the active site. The present work firmly establishes the relevance of information obtained by MSCS. Copyright 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19291738     DOI: 10.1002/prot.22393

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  14 in total

1.  Relationship between hot spot residues and ligand binding hot spots in protein-protein interfaces.

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2.  Biased Docking for Protein-Ligand Pose Prediction.

Authors:  Juan Pablo Arcon; Adrián G Turjanski; Marcelo A Martí; Stefano Forli
Journal:  Methods Mol Biol       Date:  2021

3.  Analysis of binding site hot spots on the surface of Ras GTPase.

Authors:  Greg Buhrman; Casey O'Connor; Brandon Zerbe; Bradley M Kearney; Raeanne Napoleon; Elizaveta A Kovrigina; Sandor Vajda; Dima Kozakov; Evgenii L Kovrigin; Carla Mattos
Journal:  J Mol Biol       Date:  2011-09-16       Impact factor: 5.469

Review 4.  Driving Structure-Based Drug Discovery through Cosolvent Molecular Dynamics.

Authors:  Phani Ghanakota; Heather A Carlson
Journal:  J Med Chem       Date:  2016-08-17       Impact factor: 7.446

5.  The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins.

Authors:  Dima Kozakov; Laurie E Grove; David R Hall; Tanggis Bohnuud; Scott E Mottarella; Lingqi Luo; Bing Xia; Dmitri Beglov; Sandor Vajda
Journal:  Nat Protoc       Date:  2015-04-09       Impact factor: 13.491

6.  Lipase in aqueous-polar organic solvents: activity, structure, and stability.

Authors:  Md Zahid Kamal; Poornima Yedavalli; Mandar V Deshmukh; Nalam Madhusudhana Rao
Journal:  Protein Sci       Date:  2013-05-25       Impact factor: 6.725

7.  Reproducing crystal binding modes of ligand functional groups using Site-Identification by Ligand Competitive Saturation (SILCS) simulations.

Authors:  E Prabhu Raman; Wenbo Yu; Olgun Guvench; Alexander D Mackerell
Journal:  J Chem Inf Model       Date:  2011-04-01       Impact factor: 4.956

8.  Improving protocols for protein mapping through proper comparison to crystallography data.

Authors:  Katrina W Lexa; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2013-02-13       Impact factor: 4.956

9.  New Frontiers in Druggability.

Authors:  Dima Kozakov; David R Hall; Raeanne L Napoleon; Christine Yueh; Adrian Whitty; Sandor Vajda
Journal:  J Med Chem       Date:  2015-08-11       Impact factor: 7.446

Review 10.  Protein flexibility in docking and surface mapping.

Authors:  Katrina W Lexa; Heather A Carlson
Journal:  Q Rev Biophys       Date:  2012-05-09       Impact factor: 5.318

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