Year: 2024
Type: article
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.
Author: Orchidea Maria Lecian
Institution: Sapienza University of Rome
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4403198153