In the title compound, C(20)H(15)ClN(2)OS, the benzene rings of the biphenyl group are at an angle of 44.23 (12)°. The C(4)N(2)OS central thio-urea fragment makes dihedral angles with the benzene carbonyl and chloro-benzene rings of 55.96 (9) and 64.09 (9)°, respectively. The trans-cis geometry of the thio-urea group is stabilized by the intra-molecular hydrogen bond between the carbonyl O atom and the H atom of the cis-thio-amide. In the crystal structure, mol-ecules are linked by N-H⋯S and N-H⋯O inter-molecular hydrogen bonds to form one-dimensional chains along the c axis. C-H⋯π inter-actions also contribute to the stability of the mol-ecule.
Metabolic engineering involves the modification and alteration of metabolic pathways to improve the production of desired substance. The modification can be made using in silico gene knockout simulation that is able to predict and analyse the disrupted genes which may enhance the metabolites production. Global optimization algorithms have been widely used for identifying gene knockout strategies. However, their productions were less than theoretical maximum and the algorithms are easily trapped into local optima. These algorithms also require a very large computation time to obtain acceptable results. This is due to the complexity of the metabolic models which are high dimensional and contain thousands of reactions. In this paper, a hybrid algorithm of Cuckoo Search and Minimization of Metabolic Adjustment is proposed to overcome the aforementioned problems. The hybrid algorithm searches for the near-optimal set of gene knockouts that leads to the overproduction of metabolites. Computational experiments on two sets of genome-scale metabolic models demonstrate that the proposed algorithm is better than the previous works in terms of growth rate, Biomass Product Couple Yield, and computation time.