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Computational inhibitors

Lebon et al., 1996] Lebon, F., Vinals, C., Feytmans, E., and Durant, F. Computational drug design of new HIV-1 protease inhibitors. Arch. Phys. Biochem. 104 (1996) B44. [Pg.63]

Gerber, P. R., Mark, A. E., van Gunsteren, W. F. An approximate but efficient method to calculate free energy trends by computer simulation Application to dihydrofolate reductase-inhibitor complexes. J. Comp. Aid. Mol. Desgn 7 (1993) 305-323... [Pg.161]

The procedure is computationally efficient. For example, for the catalytic subunit of the mammalian cAMP-dependent protein kinase and its inhibitor, with 370 residues and 131 titratable groups, an entire calculation requires 10 hours on an SGI 02 workstation with a 175 MHz MIPS RIOOOO processor. The bulk of the computer time is spent on the FDPB calculations. The speed of the procedure is important, because it makes it possible to collect results on many systems and with many different sets of parameters in a reasonable amount of time. Thus, improvements to the method can be made based on a broad sampling of systems. [Pg.188]

M. H. Hao, M. R. Pincus, S. Rackovsky, and H. A. Scheraga. Unfolding and refolding of the native structure of bovine pancreatic trypsin inhibitor studied by computer simulations. Biochemistry, 32 9614-9631, 1993. [Pg.259]

Zhang and co-workers worked on the structure-based, computer-assisted search for low molecular weight, non-peptidic protein tyrosine phosphate IB (PTPIB) inhibitors, also using the DOCK methodology [89], They identified several potent and selective PTPIB inhibitors by saeening the ACD. [Pg.616]

Leach A R and T E Klein 1995. A Molecular Dynamics Study of the Inhibitors of Dihydrofola Reductase by a Phenyl Triazine. Journal of Computational Chemistry 16 1378-1393. [Pg.423]

T A and H Kalayeh 1991. Applications of Neural Networks in Quantitative Structure-Activity ationships of Dihydrofolate Reductase Inhibitors, journal of Medicinal Chemistry 34 2824-2836. ik M and R C Glen 1992. Applications of Rule-induction in the Derivation of Quantitative icture-Activity Relationships. Journal of Computer-Aided Molecular Design 6 349-383. [Pg.736]

J1992. LUDI - Rule-Based Automatic Design of New Substituents for Enzyme Inhibitor Leads. mal of Computer-Aided Molecular Design 6 593-606. [Pg.736]

Computer-aided inhibitor design is a relatively new and powerful approach for the development of novel, potentially potent, nonsubstrate-analogue enzyme inhibitors. Computer-aided methods and biological screening can each lead to new classes of novel inhibitors. However, computer-aided design methods can focus the search for inhibitors, thereby circumventing much of the time-consuming synthetic and natural product purification procedures for those compounds they find unlikely to function as inhibitors. [Pg.325]

J Marelius, M Graffner-Nordberg, T Hansson, A Hallberg, J Aqvist. Computation of affinity and selectivity Binding of 2,4-diammopteridme and 2,4-diammoqumazolme inhibitors to di-hydrofolate reductases. J Comput-Aided Mol Des 12 119-131, 1998. [Pg.368]

Hen egg-white lysozyme catalyzes the hydrolysis of various oligosaccharides, especially those of bacterial cell walls. The elucidation of the X-ray structure of this enzyme by David Phillips and co-workers (Ref. 1) provided the first glimpse of the structure of an enzyme-active site. The determination of the structure of this enzyme with trisaccharide competitive inhibitors and biochemical studies led to a detailed model for lysozyme and its hexa N-acetyl glucoseamine (hexa-NAG) substrate (Fig. 6.1). These studies identified the C-O bond between the D and E residues of the substrate as the bond which is being specifically cleaved by the enzyme and located the residues Glu 37 and Asp 52 as the major catalytic residues. The initial structural studies led to various proposals of how catalysis might take place. Here we consider these proposals and show how to examine their validity by computer modeling approaches. [Pg.153]

A review is given of the application of Molecular Dynamics (MD) computer simulation to complex molecular systems. Three topics are treated in particular the computation of free energy from simulations, applied to the prediction of the binding constant of an inhibitor to the enzyme dihydrofolate reductase the use of MD simulations in structural refinements based on two-dimensional high-resolution nuclear magnetic resonance data, applied to the lac repressor headpiece the simulation of a hydrated lipid bilayer in atomic detail. The latter shows a rather diffuse structure of the hydrophilic head group layer with considerable local compensation of charge density. [Pg.106]


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See also in sourсe #XX -- [ Pg.124 ]




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