This chapter defines Discrete and Continuous-Time Markov Chain Process aimed to identify the preponderant function of a protein from the analysis of
its sequence, adapting the matrix of transition probabilities so that the elements of
the latter are occupied by the relative frequencies of the interactions of the pairs
of amino acids located there. The chapter illustrates in detail this methodology and
robustness to rescue the preponderant activity among other possible functions that
the protein could offer, if minimal changes were made in its primary structure. The
present approach is presumed to be used for the construction of synthetic proteins.
This chapter defines Discrete and Continuous-Time Markov Chain Process aimed to identify proteins from the specific regularities found in their sequences.
Keywords: Amino acids, Continuous-Time Markov Chain Process, Discrete-Time Markov Chain Process, Initial State Vector, NP Non-polar, N Polar, P− Negative Charge, P+ Positive Charge, Polarity Profile, Preponderant Function of Proteins, Proteins, Sequences, Steady-State Vector, Structural Proteomics, Transition Matrix
