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Angiotensin converting enzyme (ACE) cleaves amyloid beta peptide. So far this cleavage mechanism has not been studied in detail at atomic level. Keeping this view in mind, we performed molecular dynamics simulation of crystal structure complex of testis truncated version of ACE (tACE) and its inhibitor lisinopril along with Zn(2+) to understand the dynamic behavior of active site residues of tACE. Root mean square deviation results revealed the stability of tACE throughout simulation. The residues Ala 354, Glu 376, Asp 377, Glu 384, His 513, Tyr 520 and Tyr 523 of tACE stabilized lisinopril by hydrogen bonding interactions. Using this information in subsequent part of study, molecular docking of tACE crystal structure with Aβ-peptide has been made to investigate the interactions of Aβ-peptide with enzyme tACE. The residues Asp 7 and Ser 8 of Aβ-peptide were found in close contact with Glu 384 of tACE along with Zn(2+). This study has demonstrated that the residue Glu 384 of tACE might play key role in the degradation of Aβ-peptide by cleaving peptide bond between Asp 7 and Ser 8 residues. Molecular basis generated by this attempt could provide valuable information towards designing of new therapies to control Aβ concentration in Alzheimer's patient.

Mycobacterium tuberculosis is a Gram positive, acid-fast bacteria belonging to genus Mycobacterium, is the leading causative agent of most cases of tuberculosis. The pathogenicity of the bacteria is enhanced by its developed DNA repair mechanism which consists of machineries such as nucleotide excision repair. Nucleotide excision repair consists of excinuclease protein UvrABC endonuclease, multi-enzymatic complex which carries out repair of damaged DNA in sequential manner. UvrC protein is a part of this complex and thus helps to repair the damaged DNA of M. tuberculosis. Hence, structural bioinformatics study of UvrC protein from M. tuberculosis was carried out using homology modeling and molecular docking techniques. Assessment of the reliability of the homology model was carried out by predicting its secondary structure along with its model validation. The predicted structure was docked with the ATP and the interacting amino acid residues of UvrC protein with the ATP were found to be TRP539, PHE89, GLU536, ILE402 and ARG575. The binding of UvrC protein with the DNA showed two different domains. The residues from domain I of the protein VAL526, THR524 and LEU521 interact with the DNA whereas, amino acids interacting from the domain II of the UvrC protein included ARG597, GLU595, GLY594 and GLY592 residues. This predicted model could be useful to design new inhibitors of UvrC enzyme to prevent pathogenesis of Mycobacterium and so the tuberculosis.

Relative quantification of algC gene expression was evaluated in the multidrug resistant strain Acinetobacter baumannii AIIMS 7 biofilm (3 to 96 h, on polystyrene surface) compared to the planktonic counterparts. Comparison revealed differential algC expression pattern with maximum 81.59-fold increase in biofilm cells versus 3.24-fold in planktonic cells (P < 0.05). Expression levels strongly correlated with specific biofilm stages (scale of 3 to 96 h), coinciding maximum at initial surface attachment stage (9 h) and biofilm maturation stage (48 h). Cloning, heterologous expression, and bioinformatics analyses indicated algC gene product as the bifunctional enzyme phosphomannomutase/phosphoglucomutase (PMM/PGM) of ∼53 kDa size, which augmented biofilms significantly in algC clones compared to controls (lacking algC gene), further localized by scanning electron microscopy. Moreover, molecular dynamics analysis on the three-dimensional structure of PMM/PGM (simulated up to 10 ns) revealed enzyme structure as stable and similar to that in P. aeruginosa (synthesis of alginate and lipopolysaccharide core) and involved in constitution of biofilm EPS (extracellular polymeric substances). Our observation on differential expression pattern of algC having strong correlation with important biofilm stages, scanning electron-microscopic evidence of biofilm augmentation taken together with predictive enzyme functions via molecular dynamic (MD) simulation, proposes a new basis of A. baumannii AIIMS 7 biofilm development on inanimate surfaces.