Evidence map›Paper›PMID 23437064›Full record

ArticlePloS one2013

Computational analysis of KRAS mutations: implications for different effects on the KRAS p.G12D and p.G13D mutations.

Chih-Chieh Chen, Tze-Kiong Er, Yen-Yi Liu, Jenn-Kang Hwang, Maria Jesus Barrio, Maximiliano Rodrigo, Enrique Garcia-Toro, Marta Herreros-Villanueva

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Selenium Nanoparticles Selectively Target KRAS G13D to Inhibit Colorectal Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Mortality Outcome Associated with SpecificDiagnostics (Basel, Switzerland) · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. YB-1 activating cascades as potential targets in KRAS-mutated tumors.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Oncology letters · 2021
    Article
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

8 authors.

Chih-Chieh ChenInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Tze-Kiong Er
Yen-Yi Liu
Jenn-Kang Hwang
Maria Jesus Barrio
Maximiliano Rodrigo
Enrique Garcia-Toro
Marta Herreros-Villanueva

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe issue of whether patients diagnosed with metastatic colorectal cancer who harbor KRAS codon 13 mutations could benefit from the addition of anti-epidermal growth factor receptor therapy remains under debate. The aim of the current study was to perform computational analysis to investigate the structural implications of the underlying mutations caused by c.38G>A (p.G13D) on protein conformation.

methodsMolecular dynamics (MD) simulations were performed to understand the plausible structural and dynamical implications caused by c.35G>A (p.G12D) and c.38G>A (p.G13D). The potential of mean force (PMF) simulations were carried out to determine the free energy profiles of the binding processes of GTP interacting with wild-type (WT) KRAS and its mutants (MT).

resultsUsing MD simulations, we observed that the root mean square deviation (RMSD) increased as a function of time for the MT c.35G>A (p.G12D) and MT c.38G>A (p.G13D) when compared with the WT. We also observed that the GTP-binding pocket in the c.35G>A (p.G12D) mutant is more open than that of the WT and the c.38G>A (p.G13D) proteins. Intriguingly, the analysis of atomic fluctuations and free energy profiles revealed that the mutation of c.35G>A (p.G12D) may induce additional fluctuations in the sensitive sites (P-loop, switch I and II regions). Such fluctuations may promote instability in these protein regions and hamper GTP binding.

conclusionsTaken together with the results obtained from MD and PMF simulations, the present findings implicate fluctuations at the sensitive sites (P-loop, switch I and II regions). Our findings revealed that KRAS mutations in codon 13 have similar behavior as KRAS WT. To gain a better insight into why patients with metastatic colorectal cancer (mCRC) and the KRAS c.38G>A (p.G13D) mutation appear to benefit from anti-EGFR therapy, the role of the KRAS c.38G>A (p.G13D) mutation in mCRC needs to be further investigated.

Indexed as

Amino Acid SubstitutionComputational BiologyGuanosine TriphosphateHumansMolecular Docking SimulationMolecular Dynamics SimulationMutationProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras ProteinsThermodynamicsGuanosine TriphosphateKRAS protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras Proteins

Identifiers

PMID23437064
PMCPMC3577811

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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.