Evidence map›Paper›PMID 26614317›Full record

ArticleJournal of chemical theory and computation2010

Exploring Multidimensional Free Energy Landscapes Using Time-Dependent Biases on Collective Variables.

Jérome Hénin, Giacomo Fiorin, Christophe Chipot, Michael L Klein

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

114 citing papers in PubMed.

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  10. Monosaccharide-Derived Enantioselectivity in SWCNT Chemoresistive VOC Sensing.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
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  16. Expanded Functionality and Portability for the Colvars Library.The journal of physical chemistry. B · 2024
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  17. Review
  18. Statistical Mechanical Theories of Membrane Permeability.The journal of physical chemistry. B · 2024
    Article
  19. Article
  20. Article

54 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jérome HéninCenter for Molecular Modeling, Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, Institute for Computational Molecular Science and Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, and Department of Physics and Beckman Institute for Advanced Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61820.
Giacomo FiorinCenter for Molecular Modeling, Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, Institute for Computational Molecular Science and Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, and Department of Physics and Beckman Institute for Advanced Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61820.
Christophe ChipotCenter for Molecular Modeling, Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, Institute for Computational Molecular Science and Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, and Department of Physics and Beckman Institute for Advanced Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61820.
Michael L KleinCenter for Molecular Modeling, Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, Institute for Computational Molecular Science and Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, and Department of Physics and Beckman Institute for Advanced Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61820.

Funding

COMPUTER SIMULATION OF AMPHIPHILIC AGGREGATESR01GM040712 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI KLEIN, MICHAEL L. · 1988 to 2009
$2.2M
NIGMS NIH HHS R01 GM040712
6 · The paper itself

Abstract

A new implementation of the adaptive biasing force (ABF) method is described. This implementation supports a wide range of collective variables and can be applied to the computation of multidimensional energy profiles. It is provided to the community as part of a code that implements several analogous methods, including metadynamics. ABF and metadynamics have not previously been tested side by side on identical systems. Here, numerical tests are carried out on processes including conformational changes in model peptides and translocation of a halide ion across a lipid membrane through a peptide nanotube. On the basis of these examples, we discuss similarities and differences between the ABF and metadynamics schemes. Both approaches provide enhanced sampling and free energy profiles in quantitative agreement with each other in different applications. The method of choice depends on the dimension of the reaction coordinate space, the height of the barriers, and the relaxation times of degrees of freedom in the orthogonal space, which are not explicitly described by the chosen collective variables.

Identifiers

PMID26614317
PMCPMC12908704

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.