Evidence map›Paper›PMID 37074586›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Computational Random Mutagenesis to Investigate RAS Mutant Signaling.

Edward C Stites

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Edward C StitesIntegrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA. estites@salk.edu.

Funding

Systems Approaches for Opening Therapeutic WindowsDP2AT011327 · NCCIH · YALE UNIVERSITY · PI STITES, EDWARD C. · 2020 to 2020
$2.6M
NCCIH NIH HHS DP2 AT011327
6 · The paper itself

Abstract

This chapter describes how mathematical models can be used to investigate the possible range of behaviors for mutant forms of a protein. A mathematical model of the RAS signaling network that has previously been developed and applied to specific RAS mutants will be adapted for the process of computational random mutagenesis. By using this model to computationally investigate the range of RAS signaling outputs that would be anticipated over a wide range of the relevant parameter space, one can gain intuition about the types of behaviors that would be demonstrated by biological RAS mutants.

Indexed as

ras ProteinsSignal TransductionComputational BiologyMutagenesisMutationSystems Biologyras ProteinsComputational biologyMutationSystems biology

Identifiers

PMID37074586
PMCPMC10530643

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.