  The nanoscopic isothermal machines are not only energy but also information
transducers. We show that the generalized fluctuation theorem with information
creation and entropy reduction can be fulfilled for the enzymatic molecular
machines with the stochastic dynamics, which offers a choice of the work
performance in a variety of ways. A model of such dynamics, specified by a
critical complex network, is investigated. The main conclusion of the study is
that the processing of free energy has to be distinguished from the processing
of organization, which we identify with an adequately defined thermodynamic
variable. Maxwell's demon utilizes entropy reduction for creation of
information, which, from the former point of view, may be used for a reduction
of energy losses, hence ultimately, for the performance of work. From the
latter point of view, however, it can be used for other purposes, for example
molecular recognition. This can be the case of biological molecular machines.
From the biological perspective, the ascertainment is important, that the
information creation and storage take place in the long lasting transient
stages before completing the free energy transduction cycles. From a broader
physical perspective, a supposition could be of special importance, that
information is a change of organization, the thermodynamic function of state of
the system.
