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

Do biological molecular machines act as Maxwell's demons?