Literature DB >> 21104697

Computational methods for identifying a layered allosteric regulatory mechanism for ALS-causing mutations of Cu-Zn superoxide dismutase 1.

Adam D Schuyler1, Heather A Carlson, Eva L Feldman.   

Abstract

The most prominent form of familial amyotrophic lateral sclerosis (fALS, Lou Gehrig's Disease) is caused by mutations of Cu-Zn superoxide dismutase 1 (SOD1). SOD1 maintains antioxidant activity under fALS causing mutations, suggesting that the mutations introduce a new, toxic, function. There are 100+ such known mutations that are chemically diverse and spatially distributed across the structure. The common phenotype leads us to propose an allosteric regulatory mechanism hypothesis: SOD1 mutants alter the correlated dynamics of the structure and differentially signal across an inherent allosteric network, thereby driving the disease mechanism at varying rates of efficiency. Two recently developed computational methods for identifying allosteric control sites are applied to the wild type crystal structure, 4 fALS mutant crystal structures, 20 computationally generated fALS mutants and 1 computationally generated non-fALS mutant. The ensemble of mutant structures is used to generate an ensemble of dynamics, from which two allosteric control networks are identified. One network is connected to the catalytic site and thus may be involved in the natural antioxidant function. The second allosteric control network has a locus bordering the dimer interface and thus may serve as a mechanism to modulate dimer stability. Though the toxic function of mutated SOD1 is unknown and likely due to several contributing factors, this study explains how diverse mutations give rise to a common function. This new paradigm for allostery controlled function has broad implications across allosteric systems and may lead to the identification of the key chemical activity of SOD1-linked ALS.
© 2010 Wiley-Liss, Inc.

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Year:  2011        PMID: 21104697      PMCID: PMC3058251          DOI: 10.1002/prot.22892

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


  41 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Reaction coordinates and rates from transition paths.

Authors:  Robert B Best; Gerhard Hummer
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-06       Impact factor: 11.205

3.  Can conformational change be described by only a few normal modes?

Authors:  Paula Petrone; Vijay S Pande
Journal:  Biophys J       Date:  2005-12-16       Impact factor: 4.033

4.  Low-frequency normal modes that describe allosteric transitions in biological nanomachines are robust to sequence variations.

Authors:  Wenjun Zheng; Bernard R Brooks; D Thirumalai
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-08       Impact factor: 11.205

5.  Interpreting correlated motions using normal mode analysis.

Authors:  Adam W Van Wynsberghe; Qiang Cui
Journal:  Structure       Date:  2006-11       Impact factor: 5.006

6.  The structure of holo and metal-deficient wild-type human Cu, Zn superoxide dismutase and its relevance to familial amyotrophic lateral sclerosis.

Authors:  Richard W Strange; Svetlana Antonyuk; Michael A Hough; Peter A Doucette; Jorge A Rodriguez; P John Hart; Lawrence J Hayward; Joan S Valentine; S Samar Hasnain
Journal:  J Mol Biol       Date:  2003-05-09       Impact factor: 5.469

7.  Copper-binding-site-null SOD1 causes ALS in transgenic mice: aggregates of non-native SOD1 delineate a common feature.

Authors:  Jiou Wang; Hilda Slunt; Victoria Gonzales; David Fromholt; Michael Coonfield; Neal G Copeland; Nancy A Jenkins; David R Borchelt
Journal:  Hum Mol Genet       Date:  2003-09-09       Impact factor: 6.150

8.  Amyloid-like filaments and water-filled nanotubes formed by SOD1 mutant proteins linked to familial ALS.

Authors:  Jennifer Stine Elam; Alexander B Taylor; Richard Strange; Svetlana Antonyuk; Peter A Doucette; Jorge A Rodriguez; S Samar Hasnain; Lawrence J Hayward; Joan Selverstone Valentine; Todd O Yeates; P John Hart
Journal:  Nat Struct Biol       Date:  2003-06

9.  Small molecule inhibitors of the MDM2-p53 interaction discovered by ensemble-based receptor models.

Authors:  Anna L Bowman; Zaneta Nikolovska-Coleska; Haizhen Zhong; Shaomeng Wang; Heather A Carlson
Journal:  J Am Chem Soc       Date:  2007-09-29       Impact factor: 15.419

10.  Iterative cluster-NMA: A tool for generating conformational transitions in proteins.

Authors:  Adam D Schuyler; Robert L Jernigan; Pradman K Qasba; Boopathy Ramakrishnan; Gregory S Chirikjian
Journal:  Proteins       Date:  2009-02-15
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  4 in total

Review 1.  Fine-tuning multiprotein complexes using small molecules.

Authors:  Andrea D Thompson; Amanda Dugan; Jason E Gestwicki; Anna K Mapp
Journal:  ACS Chem Biol       Date:  2012-07-23       Impact factor: 5.100

2.  Global structural motions from the strain of a single hydrogen bond.

Authors:  Jens Danielsson; Wael Awad; Kadhirvel Saraboji; Martin Kurnik; Lisa Lang; Lina Leinartaite; Stefan L Marklund; Derek T Logan; Mikael Oliveberg
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-19       Impact factor: 11.205

3.  SOD1 exhibits allosteric frustration to facilitate metal binding affinity.

Authors:  Atanu Das; Steven S Plotkin
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-19       Impact factor: 11.205

4.  Building SuperModels: emerging patient avatars for use in precision and systems medicine.

Authors:  Sherry-Ann Brown
Journal:  Front Physiol       Date:  2015-11-06       Impact factor: 4.566

  4 in total

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