Literature DB >> 22002877

The pKa Cooperative: a collaborative effort to advance structure-based calculations of pKa values and electrostatic effects in proteins.

Jens E Nielsen1, M R Gunner, Bertrand E García-Moreno.   

Abstract

The pK(a) Cooperative (http://www.pkacoop.org) was organized to advance development of accurate and useful computational methods for structure-based calculation of pK(a) values and electrostatic energies in proteins. The Cooperative brings together laboratories with expertise and interest in theoretical, computational, and experimental studies of protein electrostatics. To improve structure-based energy calculations, it is necessary to better understand the physical character and molecular determinants of electrostatic effects. Thus, the Cooperative intends to foment experimental research into fundamental aspects of proteins that depend on electrostatic interactions. It will maintain a depository for experimental data useful for critical assessment of methods for structure-based electrostatics calculations. To help guide the development of computational methods, the Cooperative will organize blind prediction exercises. As a first step, computational laboratories were invited to reproduce an unpublished set of experimental pK(a) values of acidic and basic residues introduced in the interior of staphylococcal nuclease by site-directed mutagenesis. The pK(a) values of these groups are unique and challenging to simulate owing to the large magnitude of their shifts relative to normal pK(a) values in water. Many computational methods were tested in this first Blind Prediction Challenge and critical assessment exercise. A workshop was organized in the Telluride Science Research Center to objectively assess the performance of many computational methods tested on this one extensive data set. This volume of Proteins: Structure, Function, and Bioinformatics introduces the pK(a) Cooperative, presents reports submitted by participants in the Blind Prediction Challenge, and highlights some of the problems in structure-based calculations identified during this exercise.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 22002877      PMCID: PMC3375608          DOI: 10.1002/prot.23194

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


  69 in total

Review 1.  Macroscopic electrostatic models for protonation states in proteins.

Authors:  Donald Bashford
Journal:  Front Biosci       Date:  2004-05-01

2.  Protein electrostatics and pKa blind predictions; contribution from empirical predictions of internal ionizable residues.

Authors:  Mats H M Olsson
Journal:  Proteins       Date:  2011-08-30

Review 3.  Progress in the prediction of pKa values in proteins.

Authors:  Emil Alexov; Ernest L Mehler; Nathan Baker; António M Baptista; Yong Huang; Francesca Milletti; Jens Erik Nielsen; Damien Farrell; Tommy Carstensen; Mats H M Olsson; Jana K Shen; Jim Warwicker; Sarah Williams; J Michael Word
Journal:  Proteins       Date:  2011-10-15

4.  Modulation of buried ionizable groups in proteins with engineered surface charge.

Authors:  Angel L Pey; David Rodriguez-Larrea; Jose A Gavira; Bertrand Garcia-Moreno; Jose M Sanchez-Ruiz
Journal:  J Am Chem Soc       Date:  2010-02-03       Impact factor: 15.419

5.  Open science grid study of the coupling between conformation and water content in the interior of a protein.

Authors:  Ana Damjanović; Benjamin T Miller; Torre J Wenaus; Petar Maksimović; Bertrand García-Moreno E; Bernard R Brooks
Journal:  J Chem Inf Model       Date:  2008-10-04       Impact factor: 4.956

6.  MCCE analysis of the pKas of introduced buried acids and bases in staphylococcal nuclease.

Authors:  M R Gunner; Xuyu Zhu; Max C Klein
Journal:  Proteins       Date:  2011-09-09

7.  Structural reorganization triggered by charging of Lys residues in the hydrophobic interior of a protein.

Authors:  Michael S Chimenti; Victor S Khangulov; Aaron C Robinson; Annie Heroux; Ananya Majumdar; Jamie L Schlessman; Bertrand García-Moreno
Journal:  Structure       Date:  2012-05-25       Impact factor: 5.006

8.  Large shifts in pKa values of lysine residues buried inside a protein.

Authors:  Daniel G Isom; Carlos A Castañeda; Brian R Cannon; Bertrand García-Moreno
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-09       Impact factor: 11.205

9.  Charges in the hydrophobic interior of proteins.

Authors:  Daniel G Isom; Carlos A Castañeda; Brian R Cannon; Priya D Velu; Bertrand García-Moreno E
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-26       Impact factor: 11.205

10.  Conformational consequences of ionization of Lys, Asp, and Glu buried at position 66 in staphylococcal nuclease.

Authors:  Daniel A Karp; Mary R Stahley; Bertrand García-Moreno
Journal:  Biochemistry       Date:  2010-05-18       Impact factor: 3.162

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  46 in total

1.  SAMPL3: blinded prediction of host-guest binding affinities, hydration free energies, and trypsin inhibitors.

Authors:  A Geoffrey Skillman
Journal:  J Comput Aided Mol Des       Date:  2012-05-24       Impact factor: 3.686

2.  Blind prediction of host-guest binding affinities: a new SAMPL3 challenge.

Authors:  Hari S Muddana; C Daniel Varnado; Christopher W Bielawski; Adam R Urbach; Lyle Isaacs; Matthew T Geballe; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2012-02-25       Impact factor: 3.686

Review 3.  Biomolecular electrostatics and solvation: a computational perspective.

Authors:  Pengyu Ren; Jaehun Chun; Dennis G Thomas; Michael J Schnieders; Marcelo Marucho; Jiajing Zhang; Nathan A Baker
Journal:  Q Rev Biophys       Date:  2012-11       Impact factor: 5.318

Review 4.  Molecular mechanisms for generating transmembrane proton gradients.

Authors:  M R Gunner; Muhamed Amin; Xuyu Zhu; Jianxun Lu
Journal:  Biochim Biophys Acta       Date:  2013-03-16

Review 5.  Molecular dynamics simulations in photosynthesis.

Authors:  Nicoletta Liguori; Roberta Croce; Siewert J Marrink; Sebastian Thallmair
Journal:  Photosynth Res       Date:  2020-04-15       Impact factor: 3.573

6.  pKa Calculations with the Polarizable Drude Force Field and Poisson-Boltzmann Solvation Model.

Authors:  Alexey Aleksandrov; Benoît Roux; Alexander D MacKerell
Journal:  J Chem Theory Comput       Date:  2020-06-12       Impact factor: 6.006

7.  Towards Accurate Prediction of Protonation Equilibrium of Nucleic Acids.

Authors:  Garrett B Goh; Jennifer L Knight; Charles L Brooks
Journal:  J Phys Chem Lett       Date:  2013-02-12       Impact factor: 6.475

8.  pH-dependent dynamics of complex RNA macromolecules.

Authors:  Garrett B Goh; Jennifer L Knight; Charles L Brooks
Journal:  J Chem Theory Comput       Date:  2013-01-03       Impact factor: 6.006

Review 9.  Fundamental challenges in mechanistic enzymology: progress toward understanding the rate enhancements of enzymes.

Authors:  Daniel Herschlag; Aditya Natarajan
Journal:  Biochemistry       Date:  2013-03-14       Impact factor: 3.162

Review 10.  Continuum Electrostatics Approaches to Calculating pKas and Ems in Proteins.

Authors:  M R Gunner; N A Baker
Journal:  Methods Enzymol       Date:  2016-06-20       Impact factor: 1.600

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