Evidence map›Paper›PMID 25411881›Full record

ArticleNature chemistry2014

Discovering chemistry with an ab initio nanoreactor.

Lee-Ping Wang, Alexey Titov, Robert McGibbon, Fang Liu, Vijay S Pande, Todd J Martínez

Erratum issuedAbstract read
In one paragraph

Article in Nature chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing 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

86 citing papers in PubMed.

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  10. Quantum chemistry - from the first steps to linear-scaling electronic structure methods.Pure and applied chemistry. Chimie pure et appliquee · 2025
    Review
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  15. Development of Parallel On-the-FlyJournal of chemical theory and computation · 2025
    Article
  16. Article
  17. Article
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  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Lee-Ping Wang1] The PULSE Institute, Stanford University, Stanford, California 94305, USA [2] Department of Chemistry, Stanford University, Stanford, California 94305, USA.
Alexey Titov1] The PULSE Institute, Stanford University, Stanford, California 94305, USA [2] Department of Chemistry, Stanford University, Stanford, California 94305, USA.
Robert McGibbonDepartment of Chemistry, Stanford University, Stanford, California 94305, USA.
Fang Liu1] The PULSE Institute, Stanford University, Stanford, California 94305, USA [2] Department of Chemistry, Stanford University, Stanford, California 94305, USA.
Vijay S PandeDepartment of Chemistry, Stanford University, Stanford, California 94305, USA.
Todd J Martínez1] The PULSE Institute, Stanford University, Stanford, California 94305, USA [2] Department of Chemistry, Stanford University, Stanford, California 94305, USA [3] SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA.

Funding

Physics-based Simulation of Biological Structures(RMI)U54GM072970 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2004 to 2013
$33.5M
NIGMS NIH HHS U54 GM072970
6 · The paper itself

Abstract

Chemical understanding is driven by the experimental discovery of new compounds and reactivity, and is supported by theory and computation that provide detailed physical insight. Although theoretical and computational studies have generally focused on specific processes or mechanistic hypotheses, recent methodological and computational advances harken the advent of their principal role in discovery. Here we report the development and application of the ab initio nanoreactor--a highly accelerated first-principles molecular dynamics simulation of chemical reactions that discovers new molecules and mechanisms without preordained reaction coordinates or elementary steps. Using the nanoreactor, we show new pathways for glycine synthesis from primitive compounds proposed to exist on the early Earth, which provide new insight into the classic Urey-Miller experiment. These results highlight the emergence of theoretical and computational chemistry as a tool for discovery, in addition to its traditional role of interpreting experimental findings.

Indexed as

Molecular Dynamics SimulationNanoparticlesNanotechnologyParticle Size

Identifiers

PMID25411881
PMCPMC4239668

What OpenQuestion holds

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Registered trials

None linked

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.