Literature DB >> 12809515

High-precision, high-throughput stability determinations facilitated by robotics and a semiautomated titrating fluorometer.

Marshall Hall Edgell1, Dorothy A Sims, Gary J Pielak, Fang Yi.   

Abstract

The use of statistical modeling to test hypotheses concerning the determinants of protein structure requires stability data (e.g., the free energy of denaturation in H(2)O, DeltaG(HOH)) from hundreds of protein mutants. Fluorescence-monitored chemical denaturation provides a convenient method for high-precision, high-throughput DeltaG(HOH) determination. For eglin c we find that a throughput of about 20 min per protein can be attained in a two-channel semiautomated titrating fluorometer. We find also that the use of robotics for protein purification and preparation of the solutions for chemical denaturation gives highly precise DeltaG(HOH) values in which the standard deviation of values from multiple preparations (+/-0.051 kcal/mol) differs very little from multiple measurements from a single preparation (+/-0.040 kcal/mol). Since the variance introduced into model fitting by DeltaG(HOH) increases as the square of measurement error, there is a premium on precision. In fact, the fraction of stability behavior explicable by otherwise perfect models goes from 98% to only 50% over the error range commonly reported for chemical denaturation measurements (0.1-0.6 kcal/mol). We have found that the precision of chemical denaturation DeltaG(HOH) measurements depends most heavily on the precision of the instrument used, followed by protein purity and the capacity to precisely prepare the solutions used for titrations.

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Year:  2003        PMID: 12809515     DOI: 10.1021/bi034063g

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  8 in total

1.  Protein denaturation and protein:drugs interactions from intrinsic protein fluorescence measurements at the nanolitre scale.

Authors:  Matthieu Gaudet; Nina Remtulla; Sophie E Jackson; Ewan R G Main; Daniel G Bracewell; Gabriel Aeppli; Paul A Dalby
Journal:  Protein Sci       Date:  2010-08       Impact factor: 6.725

Review 2.  Protein stability by number: high-throughput and statistical approaches to one of protein science's most difficult problems.

Authors:  Thomas J Magliery; Jason J Lavinder; Brandon J Sullivan
Journal:  Curr Opin Chem Biol       Date:  2011-04-15       Impact factor: 8.822

3.  Protein folding: then and now.

Authors:  Yiwen Chen; Feng Ding; Huifen Nie; Adrian W Serohijos; Shantanu Sharma; Kyle C Wilcox; Shuangye Yin; Nikolay V Dokholyan
Journal:  Arch Biochem Biophys       Date:  2007-06-08       Impact factor: 4.013

4.  Monitoring aromatic picosecond to nanosecond dynamics in proteins via 13C relaxation: expanding perturbation mapping of the rigidifying core mutation, V54A, in eglin c.

Authors:  Joshua A Boyer; Andrew L Lee
Journal:  Biochemistry       Date:  2008-04-05       Impact factor: 3.162

5.  Detection of native-state nonadditivity in double mutant cycles via hydrogen exchange.

Authors:  Joshua A Boyer; Cristina J Clay; K Scott Luce; Marshall H Edgell; Andrew L Lee
Journal:  J Am Chem Soc       Date:  2010-06-16       Impact factor: 15.419

6.  Stabilizing proteins from sequence statistics: the interplay of conservation and correlation in triosephosphate isomerase stability.

Authors:  Brandon J Sullivan; Tran Nguyen; Venuka Durani; Deepti Mathur; Samantha Rojas; Miriam Thomas; Trixy Syu; Thomas J Magliery
Journal:  J Mol Biol       Date:  2012-05-01       Impact factor: 5.469

7.  High-throughput thermal scanning: a general, rapid dye-binding thermal shift screen for protein engineering.

Authors:  Jason J Lavinder; Sanjay B Hari; Brandon J Sullivan; Thomas J Magliery
Journal:  J Am Chem Soc       Date:  2009-03-25       Impact factor: 15.419

8.  Optimization of apolipoprotein B mRNA editing by APOBEC1 apoenzyme and the role of its auxiliary factor, ACF.

Authors:  Ann Chester; Violetta Weinreb; Charles W Carter; Naveenan Navaratnam
Journal:  RNA       Date:  2004-07-23       Impact factor: 4.942

  8 in total

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