A stochastic model for cooperative interactions in proteins is proposed. The description is based on the theory of Markov's chains and of birth-and-death processes. Even if the model depends only on two parameters: the mean probability p and the coupling capacity Delta p, it presents a surprising wealth of qualitative behaviors when the two parameters are varied. In particular we provide numerical evidence of change of concavity of the stationary distribution at a critical value of the coupling capacity Delta p. The main mathematical feature is that the probability of creating a new chemical bond depends on the total number of bonds already present in the system. In this sense, we speak of a cooperative behavior.
Abundo, M.r., Accardi, L., Rosato, N. (1995). A Markovian model for cooperative interactions in proteins. MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES, 5(6), 835-863 [10.1142/S0218202595000462].
A Markovian model for cooperative interactions in proteins
ABUNDO, MARIO ROSOLINO;ACCARDI, LUIGI;ROSATO, NICOLA
1995-01-01
Abstract
A stochastic model for cooperative interactions in proteins is proposed. The description is based on the theory of Markov's chains and of birth-and-death processes. Even if the model depends only on two parameters: the mean probability p and the coupling capacity Delta p, it presents a surprising wealth of qualitative behaviors when the two parameters are varied. In particular we provide numerical evidence of change of concavity of the stationary distribution at a critical value of the coupling capacity Delta p. The main mathematical feature is that the probability of creating a new chemical bond depends on the total number of bonds already present in the system. In this sense, we speak of a cooperative behavior.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.