The Chain of KRASG12D Proteins

Some of the Kirsten rat sarcoma viral oncogene homologue (KRAS) are newly analysed. The qualities of the KRASG12D proteins are investigated. In the case of interaction with generic membranes, the corresponding new Hidden Markov-State model is newly defined. The Kolomogorov backward equation and the Kolomogorov forward equations are thereafter considered. The clustering method of the states of the Hiddedn Markov-States Model (HMsM) is one based on the analysis of the root mean-square deviations; the fundamental matrix of the chain is defined. The relevance of the study of the standard deviation in the choice of the representation of the probability matrix is newly studied.

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Publication Details

Journal
Biomedical Journal of Scientific & Technical Research
Published
2024-09-16
DOI
https://doi.org/10.26717/bjstr.2024.58.009189
Primary Topic
Endoplasmic Reticulum Stress and Disease
Type
article
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article

The Chain of KRASG12D Proteins

Orchidea Maria Lecian
Biomedical Journal of Scientific & Technical Research
Endoplasmic Reticulum Stress and Disease
article

The Chain of KRASG12D Proteins

Orchidea Maria Lecian
article en

Abstract

Some of the Kirsten rat sarcoma viral oncogene homologue (KRAS) are newly analysed. The qualities of the KRASG12D proteins are investigated. In the case of interaction with generic membranes, the corresponding new Hidden Markov-State model is newly defined. The Kolomogorov backward equation and the Kolomogorov forward equations are thereafter considered. The clustering method of the states of the Hiddedn Markov-States Model (HMsM) is one based on the analysis of the root mean-square deviations; the fundamental matrix of the chain is defined. The relevance of the study of the standard deviation in the choice of the representation of the probability matrix is newly studied.

Biomedical Journal of Scientific & Technical ResearchVol. 58(4)
Sapienza University of Rome (IT)
Zero hunger
Openalex Percentile: Top 82%
Endoplasmic Reticulum Stress and Disease
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