Literature DB >> 20572697

Topology of cyclo-octane energy landscape.

Shawn Martin1, Aidan Thompson, Evangelos A Coutsias, Jean-Paul Watson.   

Abstract

Understanding energy landscapes is a major challenge in chemistry and biology. Although a wide variety of methods have been invented and applied to this problem, very little is understood about the actual mathematical structures underlying such landscapes. Perhaps the most general assumption is the idea that energy landscapes are low-dimensional manifolds embedded in high-dimensional Euclidean space. While this is a very mild assumption, we have discovered an example of an energy landscape which is nonmanifold, demonstrating previously unknown mathematical complexity. The example occurs in the energy landscape of cyclo-octane, which was found to have the structure of a reducible algebraic variety, composed of the union of a sphere and a Klein bottle, intersecting in two rings.

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Year:  2010        PMID: 20572697      PMCID: PMC3188624          DOI: 10.1063/1.3445267

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  14 in total

1.  Nonlinear dimensionality reduction by locally linear embedding.

Authors:  S T Roweis; L K Saul
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2.  A global geometric framework for nonlinear dimensionality reduction.

Authors:  J B Tenenbaum; V de Silva; J C Langford
Journal:  Science       Date:  2000-12-22       Impact factor: 47.728

3.  The C7-C10 cycloalkanes revisited.

Authors:  Kenneth B Wiberg
Journal:  J Org Chem       Date:  2003-11-28       Impact factor: 4.354

4.  Understanding protein flexibility through dimensionality reduction.

Authors:  Miguel L Teodoro; George N Phillips; Lydia E Kavraki
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5.  Computation of the pseudorotation matrix to satisfy the Eckart axis conditions.

Authors:  Anatoly Y Dymarsky; Konstantin N Kudin
Journal:  J Chem Phys       Date:  2005-03-22       Impact factor: 3.488

6.  Bayesian methods for the conformational classification of eight-membered rings.

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Journal:  Acta Crystallogr B       Date:  2005-09-23

7.  Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction.

Authors:  Payel Das; Mark Moll; Hernán Stamati; Lydia E Kavraki; Cecilia Clementi
Journal:  Proc Natl Acad Sci U S A       Date:  2006-06-19       Impact factor: 11.205

8.  Collective variable description of native protein dynamics.

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Journal:  Proteins       Date:  2002-02-15
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  6 in total

Review 1.  Constraint methods that accelerate free-energy simulations of biomolecules.

Authors:  Alberto Perez; Justin L MacCallum; Evangelos A Coutsias; Ken A Dill
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

2.  Exhaustive Conformational Sampling of Complex Fused Ring Macrocycles Using Inverse Kinematics.

Authors:  Evangelos A Coutsias; Katrina W Lexa; Michael J Wester; Sara N Pollock; Matthew P Jacobson
Journal:  J Chem Theory Comput       Date:  2016-08-04       Impact factor: 6.006

3.  Contagion Dynamics for Manifold Learning.

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Journal:  Front Big Data       Date:  2022-04-26

4.  Anncolvar: Approximation of Complex Collective Variables by Artificial Neural Networks for Analysis and Biasing of Molecular Simulations.

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Journal:  Front Mol Biosci       Date:  2019-04-18

5.  Homological scaffold via minimal homology bases.

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Journal:  Sci Rep       Date:  2021-03-08       Impact factor: 4.379

Review 6.  Topology Applied to Machine Learning: From Global to Local.

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Journal:  Front Artif Intell       Date:  2021-05-14
  6 in total

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