scholarly journals Structure and Dynamics of the Metal Site of Cadmium-Substituted Carboxypeptidase A in Solution and Crystalline States and under Steady-State Peptide Hydrolysis†

Biochemistry ◽  
1997 ◽  
Vol 36 (38) ◽  
pp. 11514-11524 ◽  
Author(s):  
Rogert Bauer ◽  
Eva Danielsen ◽  
Lars Hemmingsen ◽  
Marianne V. Sørensen ◽  
Jens Ulstrup ◽  
...  
Biochemistry ◽  
1986 ◽  
Vol 25 (3) ◽  
pp. 646-651 ◽  
Author(s):  
A. Galdes ◽  
D. S. Auld ◽  
B. L. Vallee

1989 ◽  
Vol 67 (1) ◽  
pp. 209-216 ◽  
Author(s):  
D.J. Evans ◽  
R.M. Lynden-Bell ◽  
G.P. Morriss

1979 ◽  
Vol 57 (4) ◽  
pp. 357-365
Author(s):  
Roger Poorman ◽  
Maria Kuo ◽  
Douglas I. Johnson ◽  
Sharon Lin ◽  
John F. Sebastian

The carboxypeptidase A catalyzed hydrolyses of five structurally related dipeptide substrates in the presence of the inhibitor 3-phenylpropanoate have been studied. At nonactivating substrate concentrations, 3-phenylpropanoate is a mixed inhibitor of carbobenzoxyglycyl-L-phenylalanine hydrolysis and a noncompetitive inhibitor of the hydrolyses of benzoylglycyl-L-phenylalanine, cinnamoylglycyl-L-phenylalanine, hydrocinnamoylglycyl-L-phenylalanine, and acetylglycyl-L-phenylalanine. When carbobenzoxyglycyl-L-phenylalanine and benzoylglycyl-L-phenylalanine exhibit substrate activation, inhibition by 3-phenylpropanoate is mixed but appears to be mostly competitive. Proposed here is a site for the binding of 3-phenylpropanoate along with a kinetic mechanism consistent with these data.


2012 ◽  
Vol 134 (10) ◽  
pp. 4670-4682 ◽  
Author(s):  
D. Flemming Hansen ◽  
William M. Westler ◽  
Micha B. A. Kunze ◽  
John L. Markley ◽  
Frank Weinhold ◽  
...  

2021 ◽  
Author(s):  
Irene Unceta ◽  
Bernat Salbanya ◽  
Jordi Nin

Financial networks represent the daily business interactions of customers and suppliers. Research in this domain has mainly focused on characterizing different network structures and studying dynamical processes over them. These two aspects, structure and dynamics, play a key role in understanding how emergent collective behaviors, such as those that arise during economic crises, propagate through networks. Business interactions between companies form a direct and weighted network, where the financial distress of a node depends on the ability of its customers to fulfill payments. In situations where there is no such inbound cash flow, a company may have to close down due to a lack of liquidity. Interconnection therefore seems to be at the core of systemic fragility. Whether the nature and form of this connection may have an impact on how distress is propagated is still an open question. In this paper, we study how disruptive events propagate through different network structures, under different scenarios. For this purpose, we use a liquidity model that describes how the economy of nodes evolves from a given initial state in terms of their interactions. From our experiments, we empirically conclude that most of the studied network dynamics reach a steady-state, even in the presence of large noise values.


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