Involvement of an orphan response regulator of the two-component regulatory system in the formation of physiologically mature sporangia in .

The actinomycete forms terminal sporangia that contain dormant sporangiospores. Upon contact with water, sporangia release zoospores through a process called sporangium dehiscence. In this study, we characterized (), which encodes an orphan response regulator receiver domain protein of the two-component regulatory system, as one of 136 genes whose transcription was highly activated during sporangium formation.

Identification of Two Distinct Stereoselective Lysine 5-Hydroxylases by Genome Mining Based on Alazopeptin Biosynthetic Enzymes.

Enzymes that catalyze regioselective and stereoselective hydroxylation of amino acids are useful tools for the synthesis of pharmaceuticals. AzpK is an unprecedented lysine 5-hydroxylase that is involved in alazopeptin biosynthesis, although its enzymatic activity has not been confirmed in vitro. Here, we identified two α-ketoglutarate/Fe-dependent dioxygenases in Actinosynnema mirum and Pseudomonas psychrotolerans (Am_AzpK2 and Pp_AzpK2, respectively) as lysine 5-hydroxylases, using genome mining based on the alazopeptin biosynthetic gene cluster.

Redox-dependent hydrogen-bond network rearrangement of ferredoxin-NADP reductase revealed by high-resolution X-ray and neutron crystallography.

High-resolution X-ray and neutron crystallography were employed to elucidate redox-dependent structural changes in ferredoxin-NADP reductase (FNR) from maize. This study focused on the rearrangement of hydrogen-bond networks upon FAD reduction. The X-ray structures of wild-type FNR in oxidized and reduced states were refined to 1.

ADAPT-QSCI: Adaptive Construction of an Input State for Quantum-Selected Configuration Interaction.

We present a quantum-classical hybrid algorithm for calculating the ground state and its energy of the quantum many-body Hamiltonian by proposing an adaptive construction of a quantum state for the quantum-selected configuration interaction (QSCI) method. QSCI allows us to select important electronic configurations in the system to perform configuration interaction (CI) calculation (subspace diagonalization of the Hamiltonian) by sampling measurement for a proper input quantum state on a quantum computer, but how we prepare a desirable input state remains a challenge. We propose an adaptive construction of the input state for QSCI in which we run QSCI repeatedly to grow the input state iteratively.