Semi-Markov models of mRNA-translation
نویسندگان
چکیده
Translation is the cellular process in which ribosomes make proteins from information encoded on messenger RNA (mRNA). We model translation with an exclusion process taking into account the experimentally determined, non-exponential, waiting time between steps of a ribosome. From numerical simulations using realistic parameter values, we determine the distribution P (E) of the number of proteins E produced by one mRNA. We find that for small E this distribution is not geometric. We present a simplified and analytically solvable semi-Markov model that relates P (E) to the distributions of the times to produce the first E proteins.
منابع مشابه
Applying Semi-Markov Models for forecasting the Triple Dimensions of Next Earthquake Occurrences: with Case Study in Iran Area
In this paper Semi-Markov models are used to forecast the triple dimensions of next earthquake occurrences. Each earthquake can be investigated in three dimensions including temporal, spatial and magnitude. Semi-Markov models can be used for earthquake forecasting in each arbitrary area and each area can be divided into several zones. In Semi-Markov models each zone can be considered as a sta...
متن کاملForecasting time and place of earthquakes using a Semi-Markov model (with case study in Tehran province)
The paper examines the application of semi-Markov models to the phenomenon of earthquakes in Tehran province. Generally, earthquakes are not independent of each other, and time and place of earthquakes are related to previous earthquakes; moreover, the time between earthquakes affects the pattern of their occurrence; thus, this occurrence can be likened to semi-Markov models. ...
متن کاملA Phrase-Based Hidden Semi-Markov Approach to Machine Translation
Statistically estimated phrase-based models promised to further the state-of-the-art, however, several works reported a performance decrease with respect to heuristically estimated phrase-based models. In this work we present a latent variable phrase-based translation model inspired by the hidden semi-Markov models, that does not degrade the system. Experimental results report an improvement ov...
متن کاملUnsupervised Bilingual Morpheme Segmentation and Alignment with Context-rich Hidden Semi-Markov Models
This paper describes an unsupervised dynamic graphical model for morphological segmentation and bilingual morpheme alignment for statistical machine translation. The model extends Hidden Semi-Markov chain models by using factored output nodes and special structures for its conditional probability distributions. It relies on morpho-syntactic and lexical source-side information (part-of-speech, m...
متن کاملبررسی عوامل موثر بر زمان بقاء بیماران لوسمی حاد بعد از پیوند مغز استخوان با استفاده از مدلهای چندحالتی نیمه مارکفی در بیمارستان شریعتی تهران
Abstract Background: Semi-Markov multi-state models are very important to describe regression and progression in chronic diseases and cancers. Purpose of this research was to determine the prognostic factors for survival after acute leukemia using multi-state models. Materials and Methods: In this descriptive longitudinal research, a total of 507 acute leukemia patients (206 acute lymphocyt...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011