Literature DB >> 25229122

A comprehensive database of verified experimental data on protein folding kinetics.

Amy S Wagaman1, Aaron Coburn, Itai Brand-Thomas, Barnali Dash, Sheila S Jaswal.   

Abstract

Insights into protein folding rely increasingly on the synergy between experimental and theoretical approaches. Developing successful computational models requires access to experimental data of sufficient quantity and high quality. We compiled folding rate constants for what initially appeared to be 184 proteins from 15 published collections/web databases. To generate the highest confidence in the dataset, we verified the reported lnkf value and exact experimental construct and conditions from the original experimental report(s). The resulting comprehensive database of 126 verified entries, ACPro, will serve as a freely accessible resource (https://www.ats.amherst.edu/protein/) for the protein folding community to enable confident testing of predictive models. In addition, we provide a streamlined submission form for researchers to add new folding kinetics results, requiring specification of all the relevant experimental information according to the standards proposed in 2005 by the protein folding consortium organized by Plaxco. As the number and diversity of proteins whose folding kinetics are studied expands, our curated database will enable efficient and confident incorporation of new experimental results into a standardized collection. This database will support a more robust symbiosis between experiment and theory, leading ultimately to more rapid and accurate insights into protein folding, stability, and dynamics.
© 2014 The Protein Society.

Keywords:  database; folding kinetics; protein folding; reporting standards

Mesh:

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Year:  2014        PMID: 25229122      PMCID: PMC4253821          DOI: 10.1002/pro.2551

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  20 in total

1.  Folding rate prediction using total contact distance.

Authors:  Hongyi Zhou; Yaoqi Zhou
Journal:  Biophys J       Date:  2002-01       Impact factor: 4.033

2.  UCSF Chimera--a visualization system for exploratory research and analysis.

Authors:  Eric F Pettersen; Thomas D Goddard; Conrad C Huang; Gregory S Couch; Daniel M Greenblatt; Elaine C Meng; Thomas E Ferrin
Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

3.  Relationship between protein folding kinetics and amino acid properties.

Authors:  Jitao T Huang; Dajie J Xing; Wei Huang
Journal:  Amino Acids       Date:  2011-12-13       Impact factor: 3.520

4.  Local and non-local native topologies reveal the underlying folding landscape of proteins.

Authors:  Taisong Zou; S Banu Ozkan
Journal:  Phys Biol       Date:  2011-12-06       Impact factor: 2.583

5.  Protein folding: defining a "standard" set of experimental conditions and a preliminary kinetic data set of two-state proteins.

Authors:  Karen L Maxwell; David Wildes; Arash Zarrine-Afsar; Miguel A De Los Rios; Andrew G Brown; Claire T Friel; Linda Hedberg; Jia-Cherng Horng; Diane Bona; Erik J Miller; Alexis Vallée-Bélisle; Ewan R G Main; Francesco Bemporad; Linlin Qiu; Kaare Teilum; Ngoc-Diep Vu; Aled M Edwards; Ingo Ruczinski; Flemming M Poulsen; Birthe B Kragelund; Stephen W Michnick; Fabrizio Chiti; Yawen Bai; Stephen J Hagen; Luis Serrano; Mikael Oliveberg; Daniel P Raleigh; Pernilla Wittung-Stafshede; Sheena E Radford; Sophie E Jackson; Tobin R Sosnick; Susan Marqusee; Alan R Davidson; Kevin W Plaxco
Journal:  Protein Sci       Date:  2005-02-02       Impact factor: 6.725

6.  Topological determinants of protein unfolding rates.

Authors:  Jaewoon Jung; Jooyoung Lee; Hie-Tae Moon
Journal:  Proteins       Date:  2005-02-01

7.  On the role of structural class of a protein with two-state folding kinetics in determining correlations between its size, topology, and folding rate.

Authors:  Andrei Y Istomin; Donald J Jacobs; Dennis R Livesay
Journal:  Protein Sci       Date:  2007-11       Impact factor: 6.725

8.  Contact order, transition state placement and the refolding rates of single domain proteins.

Authors:  K W Plaxco; K T Simons; D Baker
Journal:  J Mol Biol       Date:  1998-04-10       Impact factor: 5.469

9.  Assessing the solvent-dependent surface area of unfolded proteins using an ensemble model.

Authors:  Haipeng Gong; George D Rose
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-27       Impact factor: 11.205

Review 10.  The amyloid state and its association with protein misfolding diseases.

Authors:  Tuomas P J Knowles; Michele Vendruscolo; Christopher M Dobson
Journal:  Nat Rev Mol Cell Biol       Date:  2014-06       Impact factor: 94.444

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Journal:  Biophys J       Date:  2021-11-20       Impact factor: 4.033

3.  Lessons from a quarter century of being human in protein science.

Authors:  Sheila S Jaswal
Journal:  Protein Sci       Date:  2022-02-02       Impact factor: 6.725

4.  PFDB: A standardized protein folding database with temperature correction.

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Journal:  Sci Rep       Date:  2019-02-07       Impact factor: 4.379

Review 5.  ThermoScan: Semi-automatic Identification of Protein Stability Data From PubMed.

Authors:  Paola Turina; Piero Fariselli; Emidio Capriotti
Journal:  Front Mol Biosci       Date:  2021-03-25
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